| AA-Briefcase |
24 |
Anthropic: Claude Fable 5 |
1587 |
| AA-Briefcase v1.1 |
1 |
Anthropic: claude-fable-5.2 |
66.1 |
| AA-LCR |
33 |
nanbeige: nanbeige4.3-33b |
84 |
| AA-Omniscience Accuracy |
27 |
Anthropic: Claude Fable 5 |
61 |
| AA-Omniscience Index |
24 |
Anthropic: Claude Fable 5 |
40 |
| AA-Omniscience Non-Hallucination Rate |
19 |
SpaceXAI: Grok 4.20 |
78 |
| AA-Robotics v0.1 |
5 |
OpenAI: gpt-6-astra |
69 |
| -(Artificial Analysis Word Error Rate Index: AgentTalk) |
19 |
Google: Gemini 3.1 Pro Preview |
-1.5 |
| Agent Arena - Confirmed Success (Snapshot from july 12, 2026 |
4 |
Anthropic: Claude Fable 5 |
16.88 |
| Agent Arena - Confirmed Success (Snapshot from 20 june 2026) |
17 |
Anthropic: Claude Fable 5 |
16.27 |
| Agent Arena - Net Improvement (Snapshot from july 12, 2026 |
19 |
Anthropic: Claude Fable 5 |
14.1 |
| Agent Arena - Net Improvement (25.09.2026) |
13 |
Anthropic: claude-fable-5.1 |
13.8 |
| Agent Arena - Praise vs Complaint (Snapshot from 20 june 2026) |
6 |
MiniMax: minimax-m2.7 |
15.42 |
| Agents' Last Exam (Pass Rate) (Official Agent) |
15 |
OpenAI: gpt-6-astra |
59.3 |
| Agents' Last Exam (Last Exam) (Score) (Official Agent) |
3 |
OpenAI: GPT-5.5 |
11.2 |
| Agents' Last Exam (Near Term) (Pass Rate) (Official Agent) |
2 |
OpenAI: GPT-5.5 |
38.1 |
| AgentWorldBench (Overall) |
2 |
Qwen: qwen-agentworld-397b-a17b |
58.71 |
| AGIEval |
10 |
Google: Gemma 3 27B Pretrained |
66.2 |
| AG News |
3 |
convaiinnovations: laya |
95 |
| AI2D |
11 |
Google: Gemma 4 31B Instruct |
88.9 |
| AIDABench |
3 |
sensenova: sensenova-loop-9b-preview |
58.87 |
| Aider LLM |
2 |
OpenAI: GPT-5 |
88 |
| AIME 2024 |
22 |
recursiveai: ripple-65b-preview |
97.1 |
| AIME 2025 |
50 |
Google: Gemini 3 Pro Preview |
100 |
| AIME 2026 |
38 |
Z.ai: GLM 5.2 |
99.2 |
| Alpaca-Eval |
2 |
Technology Innovation Institute: falcon-h1-1.5b-instruct |
28.18 |
| AMC-23 |
2 |
Technology Innovation Institute: falcon-h1-1.5b-deep-instruct |
56.56 |
| AMO-BENCH |
1 |
Technology Innovation Institute: falcon-h1r-7b |
36.3 |
| APEX |
2 |
Nex AGI: Nex-N2 Pro |
36.5 |
| APEX-Agents |
11 |
SpaceXAI: grok-4.6 |
57.5 |
| APEX-Agents-AA |
3 |
SpaceXAI: Grok 4.3 |
17 |
| APEX-shortlist |
1 |
zyphra: zaya1-8b |
32.2 |
| APEX-v1-extended |
2 |
Z.ai: GLM 4.7 |
51.7 |
| ARC-Challenge |
92 |
Moonshot AI: Kimi K2 Instruct |
97.3 |
| ARC-AGI v2 |
5 |
OpenAI: gpt-6-astra |
95 |
| ARC-AGI v3 |
4 |
Anthropic: claude-fable-5.2 |
79.26 |
| ARC-Easy |
64 |
Arcee AI: trinity-nano-base |
94.8 |
| Arena-Hard-Auto v2 |
8 |
Xiaomi: mimo-v2-flash |
86.2 |
| ArguAna |
15 |
Google: EmbeddingGemma |
71.54 |
| Artificial Analysis Intelligence Index v4.0 (Maximum Reasoning) |
255 |
Anthropic: Claude Fable 5 |
64.9 |
| Artificial Analysis Intelligence Index v4.1 (Maximum Reasoning) |
269 |
Anthropic: claude-opus-5 |
61 |
| Artificial Analysis Intelligence Index v4.1.1 (Maximum Reasoning) |
42 |
Anthropic: claude-fable-5.1 |
66 |
| Artificial Analysis Intelligence Index v4.3 |
26 |
OpenAI: gpt-6-astra |
53 |
| Artificial Analysis Intelligence Index v4.3.2 |
75 |
Anthropic: claude-opus-5.5 |
58 |
| Artifical Analysis Intelligence Index v5.0 |
33 |
Google: gemini-4-carbon |
59 |
| Artificial Analysis Intelligence Index v5.0.1 |
33 |
Anthropic: claude-fable-5.2 |
65 |
| Artificial Analysis Agentic Index (Maximum Reasoning) |
33 |
Anthropic: Claude Fable 5 |
80.6 |
| Artificial Analysis Coding Index (Maximum Reasoning) |
22 |
Anthropic: Claude Fable 5 |
62 |
| Artificial Analysis Coding Agent Index - Claude Code |
7 |
Anthropic: Claude Fable 5 |
77 |
| Artificial Analysis Openness Index |
4 |
LLM360: k2-think-v2 |
16 |
| Artificial Analysis: Speech Reasoning (Big Bench Audio) |
25 |
Qwen: fun-realtime-audiochat |
97.6 |
| ask-my-agent bench v2 (Fallback) |
6 |
Google: Gemma 4 31B Instruct |
72.1 |
| ask-my-agent bench v2 (Native) |
11 |
NVIDIA Corporation: nvidia-nemotron-3.5-bolt-e4b |
77.2 |
| ask-my-agent bench (Fallback) |
10 |
Google: Gemma 3 27B Instruct |
91 |
| ask-my-agent bench (Native) |
15 |
Google: Gemma 4 E4B Instruct |
93.6 |
| AutomationBench |
17 |
Mistral AI: Mistral Large 4 (Le Chonk) |
59.9 |
| AVSpecialCollision |
4 |
NVIDIA Corporation: cosmos3-super |
79.3 |
| AVSpecialStopBehavior |
4 |
NVIDIA Corporation: cosmos3-super |
81.6 |
| BabyVision |
9 |
Qwen: qwen3.8-max |
82 |
| BankerToolBench |
1 |
MiniMax: MiniMax M3 |
76.1 |
| Banking77 |
10 |
cloudflare: clef |
94.2 |
| BBEH |
2 |
tiger-lab: general-reasoner-qwen3-4b |
12.2 |
| BBH |
33 |
Xiaomi: MiMo-V2.5 Pro |
88.4 |
| BeyondAIME |
3 |
Qwen: qwen3.5-397b-a17b |
72.3 |
| BFCL v3 |
14 |
Prism ML: ternary-bonsai-2-27b |
74.92 |
| BFCL v4 |
21 |
inclusionAI: ling-3.0-flash |
73 |
| BigBenchExtraHard |
6 |
Google: Gemma 4 12B Instruct |
53 |
| BIG-Bench Hard |
9 |
Google: Gemma 3 27B Instruct |
87.6 |
| BigCodeBench |
12 |
essentialai: rnj-1-instruct |
57.1 |
| BigCodeBench Hard |
2 |
Apple: diffucoder-7b-base |
12.8 |
| Biology-Instruction |
1 |
Intern Language Models: intern-s1-pro |
52.5 |
| BioMysteryBench Hard |
1 |
Anthropic: Claude Fable 5 |
46.1 |
| BioMysteryBench Human Solved |
1 |
Anthropic: Claude Fable 5 |
83.9 |
| BioReason Coding |
4 |
huggingfacebio: carbon-x |
74.9 |
| BioReason Non-SNV |
4 |
Anthropic: claude-opus-5.5 |
94.8 |
| BIRD-Dev |
3 |
sensenova: sensenova-loop-9b-preview |
71.38 |
| BLiMP |
8 |
SupraLabs: Supra-50M BASE |
76.3 |
| BLINK |
4 |
OpenBMB: minicpm-v-4.6 |
55.5 |
| BlinkDepth |
5 |
NVIDIA Corporation: cosmos3-super |
91.9 |
| BlinkSpatial |
5 |
Google: Gemma 4 31B Instruct |
90.9 |
| BlueprintBench-2 |
1 |
Anthropic: Claude Fable 5 |
38.6 |
| BoolQ |
21 |
Qwen: qwen-14b |
86.2 |
| BridgeBench BS |
5 |
Z.ai: GLM 5.2 |
100 |
| BRIGHT |
1 |
mteb: baseline-bm25s |
0.11 |
| BrowseComp |
30 |
OpenAI: gpt-6-astra |
91.5 |
| BrowseComp Plus |
1 |
krafton: raon-1-mini-preview |
55.7 |
| BruMO25 |
2 |
Tencent: hunyuan-4b-instruct |
62.7 |
| BS-Bench |
1 |
JetBrains: Mellum2 Thinking |
15 |
| Calculator Test |
1 |
Qwen: qwen2.5-math-1.5b-instruct |
76 |
| -(CaliBench) |
6 |
ByteDance Seed: dreamina-seedance-2.0-720p |
-0.39 |
| CaseReportBench |
1 |
LiquidAI: LFM2.5-230M |
22.51 |
| CausalVQA |
4 |
Qwen: qwen3-vl-32b-instruct |
81 |
| CBT-CN |
1 |
OpenAI Community: GPT-2 |
87.65 |
| CBT-NE |
1 |
OpenAI Community: GPT-2 |
83.4 |
| C-Eval |
13 |
Anthropic: claude-opus-4.5 |
92.2 |
| Chartography |
8 |
Anthropic: claude-fable-5.2 |
73.4 |
| Chartography (w/ tools) |
2 |
Moonshot AI: kimi-k3.1-pro |
90.2 |
| ChartQA |
7 |
Meta: Muse Spark |
88.9 |
| CharXiv (no tools) |
4 |
Moonshot AI: Kimi K2.6 |
86.7 |
| CharXiv (Reasoning) |
6 |
sakana: fugu-ultra |
86.6 |
| CharXiv (Reasoning Q) |
2 |
Qwen: qwen3.8-max |
88.4 |
| CharXiv (with tools) |
2 |
Anthropic: Claude Fable 5 |
93.2 |
| ChemBench |
10 |
Intern Language Models: intern-s1 |
83.4 |
| ChessBench |
6 |
SpaceXAI: Grok 4.1 Fast |
58.7 |
| CHI-Bench |
3 |
Z.ai: GLM 5.1 |
18.7 |
| Chinese-simpleQA |
1 |
Tencent: hy3-preview-base |
69.73 |
| CIFAR-10 |
15 |
Anke Tang: clip-vit-base-patch16_cifar10 |
98.28 |
| CIFAR-100 |
10 |
edadaltocg: vit_base_patch16_224_in21k_ft_cifar100 |
93.16 |
| Claw-Eval |
29 |
Ornith: ornith-1.5-397b |
81.4 |
| CL-bench |
2 |
MiniMax: MiniMax M3 |
20.5 |
| CMath |
2 |
Tencent: hy3-preview-base |
91.17 |
| CMMLU |
7 |
Xiaomi: MiMo-V2.5 Pro |
90.2 |
| COCOcap |
3 |
Google: Gemma 3 27B Pretrained |
116 |
| Code Arena - WebDev (Snapshot from july 17, 2026) |
23 |
Moonshot AI: kimi-k3 |
1679 |
| Codeforces ELO |
12 |
DeepSeek: deepseek-v4.1-flash |
3471 |
| -(CoderPPL) |
54 |
Qwen: Qwen3.5 9B |
-1.6914 |
| CoLA |
1 |
OpenAI Community: OpenAI GPT 1 |
45.4 |
| Collie |
4 |
Mistral AI: mistral-medium-3.5-128b |
95.8 |
| CommonsenseQA |
9 |
Arcee AI: trinity-nano-base |
74.9 |
| CommunicationBench |
7 |
altworld: hemmingway-1 |
1026 |
| COPA |
2 |
OpenAI Community: OpenAI GPT 1 |
78.6 |
| Cosmos-CS |
4 |
NVIDIA Corporation: cosmos3-super |
66.4 |
| Cosmos-ER |
4 |
NVIDIA Corporation: cosmos-reason2-32b |
74.9 |
| CountBench |
1 |
Qwen: Qwen3.5 27B |
98 |
| CountBenchQA |
7 |
Qwen: qwen3-vl-32b-instruct |
93.6 |
| CoVoST |
3 |
Google: Gemma 4 12B Instruct |
38.5 |
| CoWorkBench |
7 |
Anthropic: Claude Fable 5 |
75.9 |
| CowQA |
35 |
Z.ai: GLM 5.1 |
97.22 |
| CowQA-Rapid |
27 |
Anthropic: Claude Opus 4.7 |
97.22 |
| CowQA-RU |
10 |
MiniMax: MiniMax M3 |
92.59 |
| CowQA-RU-Rapid |
21 |
Anthropic: Claude Opus 4.7 |
97.22 |
| Creative Writing Benchmark |
3 |
Anthropic: Claude Fable 5 |
2213 |
| Creative Writing v3 |
1 |
zyphra: zaya1-8b |
62.97 |
| CritPt |
25 |
OpenAI: gpt-6.1-sol |
32 |
| CRUXEval |
4 |
webai-official: twil-8b |
97.1 |
| CRUXEval-I |
1 |
Tencent: hy3-preview-base |
71.19 |
| CRUXEval-O |
1 |
Tencent: hy3-preview-base |
68.38 |
| CRUX-I |
2 |
Qwen: qwen3-8b-base |
59.8 |
| CRUX-O |
7 |
essentialai: rnj-1 |
63.8 |
| CTI-REALM |
3 |
sakana: fugu-ultra |
69.4 |
| CVBench |
5 |
NVIDIA Corporation: cosmos-reason2-32b |
88.1 |
| CVE Rediscovery |
1 |
Anthropic: claude-mythos-5.2 |
89.6 |
| CWE-Bench v1 |
3 |
Google: gemini-4-argon |
68 |
| CyberGym |
10 |
DeepSeek: deepseek-v4.1-flash |
88.1 |
| Cyber Tasks |
1 |
OpenAI: GPT-5.5 Pro |
71.4 |
| CyScenarioBench |
1 |
Anthropic: claude-mythos-5.2 |
76.3 |
| DAIR Emotion |
2 |
convaiinnovations: laya |
59.5 |
| Decision Index v0.2.1 |
10 |
typesafe: jev-1.13.0 |
57.9 |
| Decision Index v0.4.1 |
13 |
fastino: fastino-glide-1.2 |
71.5 |
| DeepMind add_or_sub_big |
2 |
divagr1925: qwen3.5-4b-qwenputer |
97.5 |
| DeepMind div_big |
2 |
divagr1925: qwen3.5-4b-qwenputer |
97.5 |
| DeepMind mul_big |
2 |
divagr1925: qwen3.5-4b-qwenputer |
97.5 |
| DeepMind mul_div_multiple_longer |
2 |
divagr1925: qwen3.5-4b-qwenputer |
100 |
| DeepSWE |
15 |
OpenAI: GPT-5.5 |
70 |
| DeepSWE 1.1 |
25 |
Google: gemini-4-argon |
77.9 |
| De novo binder design (24 hr) |
1 |
Anthropic: claude-mythos-5.2 |
85.1 |
| DocVQA |
12 |
Qwen: qwen3-vl-32b-instruct |
96 |
| DRACO |
3 |
inclusionAI: ling-3.1-flash |
85.49 |
| Dr. Bench |
11 |
Moonshot AI: Kimi K2 Thinking |
67.07 |
| DROP |
22 |
Tencent: youtu-llm-2b |
86.7 |
| DynaMath |
1 |
OpenBMB: minicpm-v-4.6 |
59.1 |
| ECLeKTic |
4 |
Google: Gemma 3 27B Pretrained |
24.4 |
| EcoGym - Freelance (Income) |
9 |
Google: Gemini 3 Pro Preview |
2696 |
| EcoGym - Operation (DAU) |
9 |
Anthropic: claude-4.5-sonnet |
1595 |
| EcoGym - Vending (Net Worth) |
9 |
Google: Gemini 3 Pro Preview |
11272 |
| EconGym |
1 |
OpenAI: GPT-3.5 Turbo |
52900000000 |
| EEBench |
1 |
SpaceXAI: grok-4.7 |
64 |
| Ego3D (Accuracy) |
1 |
NVIDIA Corporation: alpamayo2-edge |
84.94 |
| EnConda-Bench |
2 |
Tencent: youtu-llm-2b |
21.5 |
| EnterpriseOps-Gym |
4 |
nanbeige: nanbeige4.3-33b |
41 |
| EQBench |
1 |
zyphra: zaya1-8b |
72.95 |
| EQ-Bench 3 |
2 |
NVIDIA Corporation: NVIDIA Nemotron 3 Nano 4B |
63.2 |
| EQ-Bench 4 |
5 |
Anthropic: Claude Fable 5 |
1341 |
| ERQA |
9 |
Qwen: qwen3.8-max |
77.8 |
| EuroSAT |
2 |
Anke Tang: clip-vit-base-patch32_eurosat |
99.06941652297974 |
| EvalPlus |
9 |
OpenAI: gpt-4o |
82.4 |
| EvasionBench |
5 |
Z.ai: GLM 4.7 |
82.91 |
| Expert-SWE |
1 |
OpenAI: GPT-5.5 Pro |
73.1 |
| ExploitBench |
4 |
Anthropic: claude-mythos-5.2 |
97 |
| ExploitGym |
4 |
Google: gemini-4-carbon |
54.8 |
| ExtractBench |
1 |
Qwen: qwen3.8-27b |
89.75 |
| EyePACS |
4 |
Google: medgemma-1.5-4b-it |
76.8 |
| FACTS Grounding |
4 |
Google: Gemma 3 12B Instruct |
75.8 |
| FairPoliticsQA |
2 |
sakana: namazu |
56.3 |
| FATE-H |
1 |
Mistral AI: leanstral-1.5-119b-a6b |
87 |
| FATE-X |
1 |
Mistral AI: leanstral-1.5-119b-a6b |
34 |
| Finance Agent v1.1 |
1 |
Anthropic: Claude Opus 4.7 |
64.4 |
| Finance Agent v2 |
7 |
Meta: muse-wonder-full |
59.1 |
| -(FLEURS) |
3 |
Google: Gemma 4 12B Instruct |
-0.069 |
| FloRes |
4 |
Google: Gemma 3 27B Pretrained |
48.8 |
| FoodTruck Bench (Net Worth) |
7 |
OpenAI: GPT-5.5 |
61408 |
| -(ForecastBench) |
4 |
typesafe: jev-1.13.0 |
-17.4 |
| Frontier-Bench v0.1 |
3 |
Ornith: ornith-1.5-397b |
13.5 |
| FrontierCode 2.0 |
2 |
Anthropic: claude-fable-5.2 |
49.1 |
| FrontierCode Diamond |
10 |
Anthropic: Claude Fable 5 |
29.3 |
| FrontierCode Extended |
6 |
Anthropic: Claude Opus 4.8 |
51.8 |
| FrontierMath |
3 |
OpenAI: GPT-5.4 Pro |
50 |
| FrontierMath Tier 1-3 |
3 |
Anthropic: Claude Fable 5 |
87 |
| FrontierMath Tier 4 |
3 |
Anthropic: Claude Fable 5 |
87.8 |
| FrontierScience |
1 |
OpenAI: GPT-5.4 Pro |
36.7 |
| FrontierScience-Olympiad |
2 |
internscience: sage-a1.5 |
81 |
| FrontierScience Research |
2 |
internscience: sage-a1.5 |
48.3 |
| FrontierSWE |
11 |
Xiaomi: MiMo-V2.5 Pro |
100 |
| FrontierSWE 2 |
6 |
Anthropic: claude-fable-5.2 |
69.9 |
| frontiervep |
4 |
Anthropic: claude-opus-5.5 |
76.2 |
| GAIA |
4 |
internscience: sage-a1.5 |
95.1 |
| GPD.pdf |
3 |
Anthropic: Claude Fable 5 |
29.8 |
| GDPval |
4 |
Nex AGI: Nex-N2 Pro |
1585 |
| GDPval-AA |
8 |
Anthropic: Claude Fable 5 |
1932 |
| GDPval-AA v2 |
20 |
Anthropic: claude-opus-5 |
1861 |
| GDPVal-AA v2.1 |
1 |
Moonshot AI: kimi-k3.1-pro |
1846 |
| GDPval-MM |
1 |
OpenAI: GPT-5.5 Pro |
82.6 |
| GDPval rubrics |
1 |
MiniMax: MiniMax M3 |
74.8 |
| GeneBench |
1 |
OpenAI: GPT-5.5 Pro |
33.2 |
| GenomeQA |
4 |
OpenAI: gpt-6.1-sol |
67.2 |
| Global-MMLU |
4 |
Anthropic: claude-fable-5.2 |
96 |
| Global-MMLU-Lite |
4 |
Google: Gemma 3 27B Pretrained |
75.7 |
| GLUE |
1 |
OpenAI Community: OpenAI GPT 1 |
72.8 |
| GPQA |
46 |
Google: Gemini 3.1 Pro Preview |
94.3 |
| GPQA Diamond |
106 |
OpenAI: gpt-6-astra |
96 |
| GPQA Diamond with tools |
2 |
OpenAI: gpt-oss-120b |
80.9 |
| GraphWalks |
3 |
Google: gemini-4-carbon |
96.2 |
| GSM8K |
81 |
Xiaomi: MiMo-V2.5 Pro |
99.6 |
| GSM-Plus |
1 |
JetBrains: Mellum2 Thinking |
87 |
| German Traffic Sign Recognition Benchmark |
2 |
Anke Tang: clip-vit-base-patch32_gtsrb |
98.81029725074768 |
| HallusionBench |
6 |
OpenBMB: minicpm-v-4.6 |
58.1 |
| HaluEval |
1 |
NVIDIA Corporation: NVIDIA Nemotron 3 Nano 4B |
62.2 |
| Handwritten-Forms |
3 |
Google: Gemini 3 Pro Preview |
94.5 |
| -(HarmBench) |
1 |
JetBrains: Mellum2 Thinking |
-20.6 |
| Harvey's Legal Agent Benchmark |
3 |
Google: gemini-4-argon |
19.6 |
| HealthBench |
6 |
Anthropic: claude-opus-5.5 |
60.6 |
| HealthBench Hard |
6 |
Meta: Muse Spark |
42.8 |
| HealthBench Proffesional |
8 |
Anthropic: claude-fable-5.2 |
71.1 |
| HealthSurgiBench |
2 |
NVIDIA Corporation: cosmos-reason2-32b |
53.9 |
| HellaSwag |
78 |
Anthropic: claude-3-opus |
95.4 |
| Hermes Bench |
3 |
Anthropic: claude-opus-5.5 |
76.7 |
| hmmt2025 |
2 |
Z.ai: GLM 5.2 |
94.4 |
| HMMT25 |
6 |
weiboai: vibethinker-3b |
95.4 |
| HMMT Feb 25 |
4 |
Qwen: qwen3.6-27b |
93.8 |
| HMMT Feb 2026 |
34 |
Yandex: aliceai-foundation-80b-a3b-base |
96.9 |
| HMMT Nov 25 |
4 |
Anthropic: claude-opus-4.5 |
93.3 |
| HotPotQA |
7 |
Qwen: Qwen3 0.6B |
64 |
| HUE I2V |
2 |
NVIDIA Corporation: cosmos3-super |
89.6 |
| HUE T2V |
2 |
NVIDIA Corporation: cosmos3-super |
89.3 |
| HumanEval |
34 |
Tencent: youtu-llm-2b |
95.9 |
| HumanEvalExplain(C++) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
42.7 |
| HumanEvalExplain(Go) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
36 |
| HumanEvalExplain(Java) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
50.6 |
| HumanEvalExplain(JavaScript) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
45.1 |
| HumanEvalExplain(Python) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
53 |
| HumanEvalExplain(Rust) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
23.8 |
| HumanEvalFix(C++) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
47 |
| HumanEvalFix(Go) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
51.2 |
| HumanEvalFix(Java) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
55.5 |
| HumanEvalFix(JavaScript) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
47.6 |
| HumanEvalFix(Python) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
54.9 |
| HumanEvalFix(Rust) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
45.1 |
| HumanEval+ |
27 |
Prism ML: ternary-bonsai-2-27b |
95.12 |
| HumanEvalSynthesis(C++) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
57.9 |
| HumanEvalSynthesis(Go) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
47.6 |
| HumanEvalSynthesis(Java) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
62.8 |
| HumanEvalSynthesis(JavaScript) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
56.7 |
| HumanEvalSynthesis(Python) |
2 |
IBM Granite: Granite-34B-Code-Instruct-8K |
62.2 |
| HumanEvalSynthesis(Rust) |
2 |
IBM Granite: Granite-20B-Code-Instruct-8K |
42.7 |
| Humanity's Last Exam (no tools) |
75 |
NON AI - НЕ ИИ: Human baseline - Человеческий результат |
90 |
| Humanity Last Exam Diamond |
1 |
Meta: muse-spark-open-816b-a42b |
26.1 |
| Humanity's Last Exam (with tools) |
35 |
Anthropic: claude-fable-5.2 |
74.2 |
| Human-Likeness |
7 |
altworld: hemmingway-1 |
1032 |
| HWB |
9 |
NVIDIA Corporation: cosmos3-super |
71.9 |
| IFBench |
74 |
recursivesi: flint |
89.2 |
| IFEval |
48 |
LiquidAI: lfm-2.5-24b-a2b |
96.75 |
| ImageNet |
1 |
ruichen0424: ab-bnn |
66.89 |
| IMDB |
2 |
Daniel Furman: deberta-v3-base-imdb |
95.77 |
| IMO-AnswerBench |
18 |
Z.ai: GLM 5.2 |
91 |
| INCLUDE |
9 |
Qwen: Qwen3.5 27B |
82 |
| IndicGenBench |
4 |
Google: Gemma 3 27B Pretrained |
63.4 |
| InfoVQA |
9 |
Qwen: qwen3-vl-32b-instruct |
87.6 |
| Instrumental Leaderboard (Arena) - Artificial Analysis (Snapshot from 17 june 2026) |
16 |
Suno: Suno V5.5 |
1185 |
| IPhO 2025 (Theory) |
1 |
OpenAI: GPT-5.4 Pro |
93.5 |
| ITBench-AA |
4 |
Xiaomi: MiMo-V2.5 Pro |
38 |
| JevBench Original |
7 |
sky7350: mica-v0.1-4b |
100 |
| JevBench Easy |
7 |
bespokelabs: bespoke-nimble-9b |
100 |
| JevBench Hard |
6 |
alibiserikbay: jevk5 |
76.2 |
| JFBench |
2 |
sakana: namazu |
37.4 |
| JobBench |
8 |
Meta: muse-wonder-full |
75.3 |
| KernelBench Hard |
2 |
MiniMax: MiniMax M3 |
28.8 |
| Kimi Claw 24/7 Bench |
4 |
OpenAI: GPT-5.5 |
52.8 |
| Kimi Code Bench v2 |
4 |
OpenAI: GPT-5.5 |
69 |
| KingBench 3 |
9 |
Anthropic: Claude Fable 5 |
88.57 |
| KITScenes (Scene) |
1 |
NVIDIA Corporation: alpamayo2-edge |
89.46 |
| KnowMe-Bench T1: Extract |
4 |
OpenAI: GPT-5 Mini |
65.4 |
| KnowMe-Bench T2: Abstain |
4 |
OpenAI: GPT-5 Mini |
71.5 |
| KnowMe-Bench T3: Temporal |
4 |
OpenAI: GPT-5 Mini |
54.1 |
| KnowMe-Bench T4: Order |
4 |
OpenAI: GPT-5 Mini |
47.3 |
| KnowMe-Bench T5: Trigger |
4 |
OpenAI: GPT-5 Mini |
42.3 |
| KnowMe-Bench T6: Mind-Body |
4 |
DeepSeek: DeepSeek R1 |
41.6 |
| KnowMe-Bench T7: Principle |
4 |
DeepSeek: DeepSeek R1 |
35.3 |
| LabBench2 |
2 |
Google: gemini-4-argon |
88.8 |
| Lambada (Accuracy) |
7 |
Qwen: qwen-14b |
71.1 |
| LAMBADA (-ppl) |
1 |
lh-tech-ai: quark-v2-0.5m |
-3500 |
| LCB-Pro 25Q2 (Easy) |
1 |
OpenBMB: minicpm5-1b |
22.68 |
| LCBv5-v6 |
1 |
Technology Innovation Institute: falcon-h1r-7b |
68.6 |
| LCB-v6 |
2 |
Intern Language Models: intern-s1-pro |
74.3 |
| Legal Agent |
1 |
Anthropic: Claude Fable 5 |
13.3 |
| LEXam Mcq 4 Choices |
18 |
DeepSeek: DeepSeek R1 |
52.41 |
| LEXam Open Question |
20 |
DeepSeek: deepseek-v3.2-exp |
56.53 |
| LibriSpeech (test-clean) (-) |
8 |
AI at Meta: wav2vec2-base-960h |
-3.4 |
| LibriSpeech (test-other) (-) |
7 |
AI at Meta: wav2vec2-base-960h |
-8.6 |
| lievcodebench6 |
1 |
Qwen: Qwen3 8B |
41.5 |
| LingoQA |
5 |
NVIDIA Corporation: cosmos3-super |
76.8 |
| LiveBench |
6 |
OpenAI: o3-mini |
84.6 |
| LiveClaw |
5 |
LiquidAI: lfm-2.5-24b-a2b |
48.09 |
| LiveCodeBench |
10 |
sakana: fugu-ultra |
93.2 |
| LiveCodeBench v5 |
4 |
Mistral AI: Magistral Small 1.2 |
70.88 |
| LiveCodeBench v6 |
37 |
sakana: namazu |
90.33 |
| LiveCodeBench Pro |
2 |
Google: Gemini 3.1 Pro Preview |
96.2 |
| LiveSQLBench |
2 |
MiniMax: MiniMax M3 |
40.2 |
| LLMArena (llmarena.ru) (Snapshot from 19 june 2026) |
38 |
Google: Gemini 3 Pro Preview |
1162 |
| llmarena.ru - Text-to-Image (Snapshot from july 6, 2026) |
7 |
Google: imagen-4-ultra |
1066 |
| LOCA-Bench (256k) |
1 |
MiniMax: MiniMax M3 |
49.3 |
| LogicVista |
4 |
Google: Gemma 4 31B Instruct |
57 |
| LogiQA |
1 |
AMD: AMD-135m |
21.2 |
| LongVideoBench |
1 |
OpenBMB: minicpm-v-4.6 |
53.8 |
| LVBench |
5 |
Google: gemini-4-argon |
91.7 |
| lvecodebench6 |
1 |
LiquidAI: lfm-3-1.7b |
73.46 |
| Massive Audio Embedding Benchmark (MAEB) Hugging Face |
1 |
Google: embeddinggemma-2 |
49.39 |
| ManipBench |
3 |
Google: gemini-2.5-pro |
82 |
| MASSIV intent, 13 other languages |
2 |
convaiinnovations: laya-multilingual |
45.1 |
| MASSIVE intent, English |
2 |
convaiinnovations: laya |
78.3 |
| MatBench |
2 |
Intern Language Models: intern-s1 |
75 |
| MATH |
41 |
OpenAI: o3-mini |
97.9 |
| MATH-500 |
35 |
Meituan LongCat: longcat-flash-thinking |
99.2 |
| MathArena Apex |
1 |
Tencent: hy3 |
38.7 |
| MATH-hard |
2 |
zyphra: zaya1-base |
54.15 |
| MATH lvl5 |
2 |
Technology Innovation Institute: falcon-h1-1.5b-deep-base |
24.77 |
| MathVerse_MINI |
1 |
OpenBMB: minicpm-v-4.6 |
56.1 |
| MATH-Vision |
9 |
Qwen: qwen3.8-27b |
90 |
| MathVista |
5 |
Intern Language Models: intern-s1 |
81.5 |
| MathVista Mini |
2 |
LiquidAI: lfm-3-omni-2b |
62.5 |
| MAXIFE |
1 |
Qwen: Qwen3.5 0.8B |
39.2 |
| Maze Bench |
2 |
Anthropic: claude-opus-5.5 |
13 |
| MBPP |
30 |
webai-official: twil-8b |
93.7 |
| MBPP+ |
27 |
orcarouter: orcacyber-nano-1.0 |
84.66 |
| MCP-Atlas |
26 |
Meta: muse-spark-open-816b-a42b |
89.2 |
| MCP-Mark |
3 |
Qwen: qwen3.7-plus |
58.7 |
| MCP Mark Verified |
4 |
OpenAI: GPT-5.5 |
92.9 |
| MDPBench |
14 |
rednote-hilab: dots.mocr |
80.5 |
| MedMCQA |
1 |
biomistral: biomistral-7b |
48.1 |
| MedQA |
1 |
biomistral: biomistral-7b |
50.6 |
| MedQA 5 opts |
1 |
biomistral: biomistral-7b |
42.8 |
| MedXpertQA |
5 |
Qwen: Qwen3.5 27B |
62 |
| MedXPertQA MM |
4 |
Google: Gemma 4 31B Instruct |
61.3 |
| MERA |
3 |
Sber: gigachat3.5-432b-a28b |
67.3 |
| Meta Internal Coding Bench |
3 |
Anthropic: claude-opus-5 |
79.4 |
| MGSM |
9 |
Google: Gemma 3 27B Pretrained |
74.3 |
| MicroVQA |
2 |
Intern Language Models: intern-s1 |
63.9 |
| Massive Image Embedding Benchmark (MIEB, lite) |
1 |
Google: embeddinggemma-2 |
64.64 |
| MILU |
2 |
Anthropic: claude-fable-5.2 |
94.1 |
| MiMo Coding Bench |
1 |
Xiaomi: MiMo-V2.5 Pro |
73.7 |
| MineBench |
13 |
OpenAI: GPT-5.5 Pro |
1863 |
| Minerva-Math |
6 |
essentialai: rnj-1-instruct |
90.8 |
| MixEval |
1 |
JetBrains: Mellum2 Thinking |
66.9 |
| MLB (Avg.) |
3 |
Moonshot AI: Kimi K2 Instruct |
77.3 |
| MLB (MedKQA) |
2 |
Moonshot AI: Kimi K2 Instruct |
79.4 |
| MLB (MedRU) |
2 |
Moonshot AI: Kimi K2 Instruct |
87.8 |
| MLB (MedSE) |
3 |
Moonshot AI: Kimi K2 Instruct |
82.5 |
| MLB (SmartCare) |
3 |
Moonshot AI: Kimi K2 Instruct |
71.1 |
| MLB (SmartServ) |
3 |
Moonshot AI: Kimi K2 Instruct |
61.3 |
| MLS Bench Lite |
4 |
Anthropic: Claude Opus 4.8 |
42.8 |
| MLVU (M-Avg) |
1 |
OpenBMB: minicpm-v-4.6 |
65.2 |
| MMB1.1 |
1 |
OpenAI: gpt-4o |
82.2 |
| MMBC |
1 |
Qwen: qwen3.7-plus |
46.3 |
| MMBench |
1 |
LiquidAI: lfm-3-omni-2b |
73.68 |
| MMBench-Dev |
4 |
Qwen: qwen3-vl-32b-instruct |
87.8 |
| MME |
1 |
OpenAI: gpt-4o |
2328.7 |
| Massive Multimodal Embedding Benchmark (MMEB v2 - Image) |
1 |
Google: embeddinggemma-2 |
57.28 |
| Massive Multimodal Embedding Benchmark (MMEB v2 - Video) |
1 |
Google: embeddinggemma-2 |
50.67 |
| Massive Multimodal Embedding Benchmark (MMEB v2 - VisDoc) |
1 |
Google: embeddinggemma-2 |
67.84 |
| MMHal-Score |
1 |
OpenBMB: minicpm-v-4.6 |
4.6 |
| MMLU |
106 |
OpenAI: GPT-5 |
92.5 |
| MMLU-Pro |
120 |
xtools-at: deepseek-v4-pro-qwen3.5-9b-uncensored-heretic |
90.53 |
| MMLU-ProX |
2 |
NVIDIA Corporation: nvidia-nemotron-3.5-super-vl-120b-a12b |
76.91 |
| MMLU-Redux |
28 |
Anthropic: claude-opus-4.5 |
95.6 |
| MMLU-STEM |
11 |
Qwen: Qwen3 8B |
92.5 |
| MMMLU |
16 |
Google: Gemini 3.1 Pro Preview |
92.6 |
| MMMU |
13 |
OpenAI: gpt-5.1 |
85.4 |
| MMMU-Pro |
37 |
OpenAI: GPT-5.4 Pro |
94 |
| MMSI-Bench |
5 |
NVIDIA Corporation: cosmos3-super |
41.8 |
| MMSIVideoBench |
4 |
Qwen: qwen3-vl-32b-instruct |
33.8 |
| MMStar |
2 |
Intern Language Models: intern-s1 |
74.9 |
| MMVet |
1 |
OpenAI: gpt-4o |
69.1 |
| MNIST |
4 |
Anke Tang: clip-vit-base-patch32_mnist |
99.5726227760315 |
| MNLI Matched |
1 |
OpenAI Community: OpenAI GPT 1 |
82.1 |
| MNLI Mismatched |
1 |
OpenAI Community: OpenAI GPT 1 |
81.4 |
| MobileWorld |
1 |
Qwen: qwen3.8-max |
77.8 |
| Mol-Instructions |
1 |
Intern Language Models: intern-s1-pro |
48.8 |
| MotionBench |
1 |
OpenBMB: minicpm-v-4.6 |
54.2 |
| MPRC |
1 |
OpenAI Community: OpenAI GPT 1 |
82.3 |
| MRCR v2 8 needle |
4 |
Google: Gemma 4 31B Instruct |
66.4 |
| MS-CXR-T |
4 |
Google: medgemma-1.5-4b-it |
65.7 |
| MSEarth-MCQ |
2 |
Intern Language Models: intern-s1 |
65.7 |
| Massive Sound Embedding Benchmark (MSEB, Retrieval) |
1 |
Google: embeddinggemma-2 |
69.54 |
| MT-Bench |
4 |
DeepSeek: deepseek-v2.5 |
90.2 |
| Massive Text Embedding Benchmark (MTEB, code, v1) |
2 |
Google: embeddinggemma-2 |
78.68 |
| Massive Text Embedding Benchmark (MTEB, multilingual, v2) |
2 |
Google: embeddinggemma-2 |
61.36 |
| MUIRBench |
1 |
OpenBMB: minicpm-v-4.6 |
60.2 |
| MultiChallenge |
5 |
Inception: mercury-3 |
60.4 |
| Multi-IF |
12 |
LiquidAI: lfm-3-1.7b |
89.1 |
| MultiPL-E |
7 |
Qwen: qwen3-8b-base |
52.4 |
| MUSR |
10 |
Prism ML: ternary-bonsai-2-27b |
70.63 |
| MVBench |
5 |
NVIDIA Corporation: cosmos3-super |
74.5 |
| MVPBench |
4 |
NVIDIA Corporation: cosmos3-super |
70.3 |
| Nanonets-KIE |
3 |
Google: Gemini 3 Pro Preview |
95.2 |
| Natural Questions |
7 |
Google: Gemma 3 27B Pretrained |
36.1 |
| NextBase |
4 |
huggingfacebio: carbon-x |
39.4 |
| NL2Repo |
23 |
DeepSeek: deepseek-v4.1-flash-1017 |
68.2 |
| nuReasoning (choice accuracy) |
1 |
NVIDIA Corporation: alpamayo2-edge |
78.58 |
| ObscureBench Arena vs Gemma 3 4B |
2 |
Google: Gemma 3 4B Instruct |
50 |
| OCRBench |
10 |
OpenBMB: minicpm-v-4.6 |
838 |
| OCRBench-v2 |
6 |
NVIDIA Corporation: cosmos3-super |
66.7 |
| OCRBench_v2_CN |
2 |
Intern Language Models: intern-s1-pro |
60.6 |
| OCRBench_v2_EN |
2 |
Intern Language Models: intern-s1-pro |
60.1 |
| OCW |
1 |
eleutherai: llemma_34b |
11.8 |
| OfficeQA Pro |
2 |
Anthropic: claude-opus-5.5 |
67.7 |
| OfficeQA Pro v2 |
1 |
Moonshot AI: kimi-k3.1-pro |
64.4 |
| OJBench |
4 |
OpenBMB: minicpm5-2b |
32.5 |
| OKVQA |
3 |
Google: Gemma 3 27B Pretrained |
60.2 |
| olmOCR-bench |
20 |
infly: infinity-parser2-pro |
87.6 |
| OmniDocBench V1.5 |
3 |
Qwen: qwen3.8-27b |
91.1 |
| OmniDocBench V1.6 |
13 |
xingchen-agi: teleocr |
96.87 |
| -(Open ASR Leaderboard) |
53 |
AutoArk: ark-asr-3b |
-4.76 |
| OpenBookQA |
12 |
Arcee AI: trinity-nano-base |
82.2 |
| OpenCompass |
1 |
OpenAI: gpt-4o |
69.9 |
| OpenJev (%) |
3 |
mapika: decider-35b-a3b |
68.3 |
| Orak |
1 |
NVIDIA Corporation: NVIDIA Nemotron 3 Nano 4B |
22.9 |
| OSWorld-Verified |
19 |
Qwen: qwen3.8-max |
86.1 |
| PAIBench-G Image2Video (Overall) |
2 |
NVIDIA Corporation: cosmos3-super |
82.8 |
| PAIBench-G Image2Video (Domain) |
2 |
NVIDIA Corporation: cosmos3-super |
87.3 |
| PAIBench-G Image2Video (Quality) |
2 |
NVIDIA Corporation: cosmos3-super |
78.2 |
| PAIBench-G Text2Video (Overall) |
9 |
NVIDIA Corporation: cosmos3-super |
80 |
| PAIBench-G Text2Video (Domain) |
9 |
NVIDIA Corporation: cosmos3-super |
86.8 |
| PAIBench-G Text2Video (Quality) |
9 |
NVIDIA Corporation: cosmos3-super |
73.1 |
| PaperBench |
2 |
Qwen: qwen3.8-max |
93 |
| ParseBench |
31 |
Anthropic: claude-opus-5.5 |
79.85 |
| PathMCQA |
4 |
Google: MedGemma 27B Instruct |
71.6 |
| PBench |
6 |
Technology Innovation Institute: falcon-perception |
57 |
| PerceptionBench |
1 |
Qwen: qwen3.8-max |
63.5 |
| PhysicianBench |
2 |
Anthropic: claude-fable-5.2 |
64.4 |
| Physics |
1 |
Intern Language Models: intern-s1 |
44 |
| PhysicsIQ I2V |
2 |
NVIDIA Corporation: cosmos3-super |
48.9 |
| PhysicsIQ V2V |
2 |
NVIDIA Corporation: cosmos3-super |
63.4 |
| PiBench |
10 |
Google: Gemma 2 27B Instruct |
38 |
| PinchBench |
7 |
Arcee AI: trinity-large-thinking |
91.9 |
| PIQA |
36 |
Tencent: hy3-preview-base |
84.39 |
| POLLUX |
9 |
Sber: gigachat3.5-432b-a28b |
65.21 |
| PolyMATH |
1 |
Qwen: Qwen3.5 0.8B |
8.2 |
| POPE |
3 |
LiquidAI: lfm-3-omni-2b |
89.34 |
| PostTrainBench |
8 |
Anthropic: claude-opus-5.5 |
49.3 |
| ProfBench (Search) |
1 |
NVIDIA Corporation: nvidia-nemotron-3-ultra |
56 |
| Program Bench |
10 |
Anthropic: claude-opus-5.5 |
91.2 |
| ProteinLMBench |
1 |
Intern Language Models: intern-s1 |
63.1 |
| PTB (-ppl) |
1 |
OpenAI Community: GPT-2 |
-65.85 |
| PubMedQA |
2 |
Google: gemini-decision-1 |
79.8 |
| PubTabNet |
3 |
Google: Gemini 3 Pro Preview |
91.4 |
| PutnamBench |
1 |
Mistral AI: leanstral-1.5-119b-a6b |
587 |
| QNLI |
1 |
OpenAI Community: OpenAI GPT 1 |
88.1 |
| QQP |
1 |
OpenAI Community: OpenAI GPT 1 |
70.3 |
| QwenClawBench |
4 |
Qwen: qwen3.6-27b |
53.4 |
| QwenReactBench |
5 |
Anthropic: Claude Fable 5 |
1770 |
| QwenWebBench |
3 |
Anthropic: claude-opus-4.5 |
1536 |
| RACE |
4 |
OpenAI Community: OpenAI GPT 1 |
59 |
| RacoonPPTBench |
2 |
sensenova: sensenova-loop-9b-preview |
70.7 |
| RBench |
7 |
NVIDIA Corporation: cosmos3-nano |
58.4 |
| RealWorldQA |
11 |
Qwen: qwen3.8-flash-next |
88.5 |
| RedlineBench |
5 |
OpenAI: GPT-5.5 |
50.5 |
| RefCOCO |
8 |
Intern Language Models: intern-s1-pro |
91.9 |
| RefCOCOg |
1 |
Moondream: Moondream 3 (Preview) |
88.6 |
| RefCOCO+ |
1 |
Moondream: Moondream 3 (Preview) |
81.8 |
| RefSpatial |
4 |
NVIDIA Corporation: cosmos3-super |
57 |
| ReMI |
3 |
Google: Gemma 3 27B Pretrained |
44.8 |
| Remote Labor Index (RLI) |
2 |
Anthropic: claude-fable-5.2 |
41.3 |
| ResearchClawBench |
6 |
Z.ai: GLM 5.1 |
18.19 |
| RiddleBench |
6 |
OpenAI: gpt-oss-120b |
69.26 |
| RiemannBench |
3 |
Google: gemini-4-carbon |
80 |
| RoboDojo Sim |
2 |
Anthropic: claude-fable-5.2 |
64.9 |
| RoboSpatialHome |
4 |
NVIDIA Corporation: cosmos3-super |
70 |
| ROCStories |
1 |
OpenAI Community: OpenAI GPT 1 |
86.5 |
| RTE |
1 |
OpenAI Community: OpenAI GPT 1 |
56 |
| ruAIME2025 |
2 |
T-Tech: t-pro-it-2.0 |
64.6 |
| RuArenaHard vs gpt-4o |
2 |
OpenAI: gpt-4o |
50 |
| ruLCB |
2 |
T-Tech: t-pro-it-2.0 |
56.3 |
| RULER |
6 |
NVIDIA Corporation: nvidia-nemotron-3-ultra |
95 |
| ruMMLU |
2 |
T-Tech: t-pro-it-2.0 |
79 |
| RustEvo^2 |
10 |
Anthropic: claude-3.7-sonnet |
65.3 |
| RynnBrain-Affordance |
4 |
Google: Gemma 4 31B Instruct |
87.8 |
| RynnBrain-Area |
4 |
Google: Gemma 4 31B Instruct |
58.7 |
| RynnBrain-Grounding |
4 |
Qwen: qwen3-vl-32b-instruct |
77 |
| RynnBrain-Object |
4 |
Qwen: qwen3-vl-32b-instruct |
57 |
| RynnBrain-Spatial |
4 |
NVIDIA Corporation: cosmos-reason2-32b |
42.2 |
| RynnBrain-Trajectory |
4 |
NVIDIA Corporation: cosmos3-super |
69.3 |
| SArena |
1 |
Intern Language Models: intern-s1-pro |
83.5 |
| SAT |
1 |
eleutherai: llemma_34b |
71.9 |
| SciCode |
46 |
Anthropic: claude-sonnet-5.5 |
61 |
| SciQ |
16 |
AMD: amd-olmo-1b |
93.2 |
| SciReasoner |
1 |
Intern Language Models: intern-s1-pro |
55.5 |
| SciTail |
1 |
OpenAI Community: OpenAI GPT 1 |
88.3 |
| ScreenSpot Desktop |
1 |
OpenBMB: minicpm-v-4.6 |
51.8 |
| ScreenSpot Mobile |
1 |
OpenBMB: minicpm-v-4.6 |
71.5 |
| ScreenSpot-Pro |
46 |
Qwen: qwen3.7-plus |
79 |
| ScreenSpot V2 |
1 |
Intern Language Models: intern-s1-pro |
93.6 |
| ScreenSpot Web |
1 |
OpenBMB: minicpm-v-4.6 |
49.5 |
| Search Arena - Arena.ai (Snapshot from july 17, 2026) |
15 |
Anthropic: claude-opus-4.6 |
1255 |
| SFE |
2 |
Intern Language Models: intern-s1-pro |
52.7 |
| ShoppingBench |
12 |
Qwen: qwen2.5-max |
58.4 |
| SimpleBench |
5 |
Anthropic: Claude Fable 5 |
81.9 |
| simpleQA |
9 |
DeepSeek: deepseek-v3.2-exp |
97.1 |
| SimulBench |
5 |
OpenAI: gpt-4 |
8.74 |
| SingleCellBench |
1 |
Anthropic: claude-mythos-5.2 |
0.66 |
| SkillsBench |
8 |
inclusionAI: ling-3.1-flash |
68.7 |
| SLAVA |
6 |
Anthropic: claude-3.5-sonnet |
70.38 |
| SmolInstruct |
2 |
Intern Language Models: intern-s1-pro |
74.8 |
| SNLI |
1 |
OpenAI Community: OpenAI GPT 1 |
89.9 |
| SocialICA |
5 |
Arcee AI: trinity-nano-base |
93.2 |
| SoundBench |
7 |
ByteDance Seed: seedance-1.5-pro |
7.64 |
| SparBench |
4 |
NVIDIA Corporation: cosmos3-super |
54.9 |
| SpatialBench |
5 |
OpenAI: gpt-6-astra |
91.6 |
| SpatialSense VQA |
3 |
Google: gemma-3-12b-pt |
60 |
| Speech Arena Leaderboard - Artificial Analysis (Snapshot from 18 june 2026) |
28 |
Qwen: fun-realtime-tts |
1224 |
| SpreadSheetBench-v1 |
1 |
MiniMax: MiniMax M3 |
89.4 |
| SST-2 |
1 |
OpenAI Community: OpenAI GPT 1 |
91.3 |
| Stanford Cars |
2 |
Anke Tang: clip-vit-base-patch32_stanford-cars |
78.19 |
| StoryBench |
6 |
Anthropic: Claude Fable 5 |
1277 |
| STS-B |
1 |
OpenAI Community: OpenAI GPT 1 |
82 |
| SuperGPQA |
60 |
Google: Gemini 3 Pro Preview |
73.75 |
| SVG-Bench |
16 |
OpenAI: gpt-5.2 |
74.4 |
| SWAG |
1 |
SupraLabs: Supra-50M-Reasoning |
42.33 |
| SWE Atlas-QnA |
12 |
Meta: muse-spark-open-816b-a42b |
58 |
| SWE Atlas RF |
1 |
Nex AGI: Nex-N2 Pro |
32.9 |
| SWE Atlas-Test Writing |
7 |
Nex AGI: Nex-N2 Pro |
40 |
| SWE-Bench |
2 |
OpenAI: GPT-5.5 Pro |
88.7 |
| swebenchlite |
7 |
Qwen: qwen3-coder-30b-a3b-instruct |
49.7 |
| SWE-bench Multilingual |
25 |
Anthropic: claude-opus-5.5 |
93.9 |
| SWE-bench Multimodal |
1 |
Anthropic: Claude Fable 5 |
59 |
| SWE-bench Pro |
69 |
Anthropic: claude-opus-5.5 |
89.9 |
| SWE-Bench-Pro v2 |
2 |
recursivesi: flint |
89.7 |
| SWE-bench Verified |
56 |
Anthropic: Claude Fable 5 |
95 |
| SWE-fficiency |
2 |
MiniMax: MiniMax M3 |
28.8 |
| SWE-Marathon |
5 |
Meta: muse-wonder-full |
57.5 |
| swemultilingual |
2 |
DeepSeek: deepseek-v4-pro-0813 |
76.2 |
| Text-to-Video Arena (Arena.ai) (Sep 21, 2026) |
29 |
Google: gemini-omni-1.1-flash |
1516 |
| TallyQA |
3 |
Google: Gemma 3 27B Pretrained |
54.3 |
| TARBench |
4 |
NVIDIA Corporation: cosmos3-super |
48.4 |
| TauBench V2 (Airline) |
5 |
Arcee AI: trinity-large-thinking |
88 |
| TauBench V2 (Average) |
21 |
Google: Gemini 3.1 Pro Preview |
99.3 |
| TauBench V2 (Retail) |
5 |
NVIDIA Corporation: nvidia-nemotron-3.5-super-vl-120b-a12b |
69.24 |
| TauBench V2 (Telecom) |
26 |
Anthropic: Claude Fable 5 |
99 |
| TauBench V3 (Airline) |
1 |
Mistral AI: mistral-medium-3.5-128b |
72 |
| TauBench V3 (Average) |
10 |
Xiaomi: MiMo-V2.5 Pro |
72.9 |
| TauBench V3 (Banking) |
23 |
Qwen: qwen3.8-2.4t-a95b |
49 |
| TauBench V3 (Retail) |
1 |
Mistral AI: mistral-medium-3.5-128b |
76.1 |
| TauBench V3 (Telecom) |
1 |
Mistral AI: mistral-medium-3.5-128b |
91.4 |
| TeamBench |
3 |
sensenova: sensenova-loop-9b-preview |
48.89 |
| TEDS_TEST |
3 |
Z.ai: glm-ocr |
86 |
| Terminal-Bench v2.0 |
44 |
OpenAI: GPT-5.5 |
82.7 |
| Terminal-Bench v2.1 |
58 |
DeepSeek: deepseek-v4.1-flash |
90.6 |
| Terminal-Bench v3.0 |
6 |
OpenAI: gpt-5.6-sol |
34.6 |
| Terminal-Bench v4.0 |
12 |
Anthropic: claude-opus-5.5 |
66.4 |
| Terminal-Bench Hard |
13 |
Anthropic: Claude Fable 5 |
63 |
| Terminal-Bench Lite |
1 |
krafton: raon-1-mini-preview |
47 |
| Terminal-Bench-Science 0.1 |
5 |
Anthropic: claude-mythos-5.2 |
75.3 |
| Text Arena (Snapshot from 20 june 2026) |
56 |
Anthropic: Claude Fable 5 |
1508 |
| Text to Video Leaderboard (With Audio) (Arena) - Artificial Analysis (Snapshot from 18 june 2026) |
15 |
ByteDance Seed: dreamina-seedance-2.0-720p |
1218 |
| Text-to-Video Arena (Snapshot from 20 june 2026) |
4 |
Google: gemini-omni-flash |
1527 |
| TextVQA |
4 |
Xiaomi: xiaomi-ocr-0 |
78.6 |
| TheoremQA |
7 |
tiger-lab: general-reasoner-qwen3-4b |
48.3 |
| Toolathlon |
7 |
OpenAI: GPT-5.5 Pro |
55.6 |
| Toolathlon Verified |
11 |
Anthropic: claude-opus-5.5 |
77.8 |
| ToolSandbox |
6 |
LiquidAI: lfm-2.5-24b-a2b |
80.71 |
| TriviaQA |
14 |
Google: Gemma 3 27B Pretrained |
85.5 |
| TruthfulQA |
46 |
Yandex: YandexGPT Lite 5 |
73.81 |
| TTI-AlphabetBench |
11 |
Meta: muse-image |
94.04 |
| Text-to-Image Leaderboard (Arena) - Artificial Analysis (Snapshot from 17 june 2026) |
81 |
OpenAI: GPT Image 2 |
1339 |
| Text to Image Leaderboard (Arena) - Artificial Analysis (Snapshot from 27 june 2026) |
29 |
OpenAI: GPT Image 2 |
1338 |
| Text-to-Image Arena (Arena.ai) (Snapshot from 24 september 2026) |
17 |
OpenAI: gpt-image-2.5-sunburst |
1424 |
| TydiQA |
1 |
Meta Llama: Llama 4 Scout Instruct |
31.5 |
| UniMERNet |
3 |
Z.ai: glm-ocr |
96.5 |
| USAMO 2026 |
1 |
Anthropic: Claude Fable 5 |
97.6 |
| US-DermMCQA |
4 |
Google: MedGemma 27B Instruct |
75.3 |
| V* |
1 |
Moonshot AI: Kimi K2.6 |
96.9 |
| Vals Finance Agent 2 |
3 |
Google: gemini-4-argon |
65.4 |
| Vals Index |
3 |
Google: gemini-4-argon |
68.9 |
| VANTAGE-2DGrounding |
4 |
NVIDIA Corporation: cosmos3-super |
76.2 |
| VANTAGE-2DPointing |
4 |
Google: Gemma 4 31B Instruct |
76.8 |
| VANTAGE-Astro2D |
4 |
NVIDIA Corporation: cosmos3-super |
81.5 |
| VANTAGE-DVC |
4 |
NVIDIA Corporation: cosmos-reason2-32b |
30.1 |
| VANTAGE-EventVerif |
4 |
NVIDIA Corporation: cosmos-reason2-32b |
73.6 |
| VANTAGE-SOT |
4 |
NVIDIA Corporation: cosmos3-super |
62.2 |
| VANTAGE-Temporal |
4 |
NVIDIA Corporation: cosmos3-super |
51.9 |
| VANTAGE-VQA |
4 |
Qwen: qwen3-vl-32b-instruct |
71.3 |
| Vending Bench 2 |
8 |
Anthropic: claude-opus-4.6 |
8017.59 |
| VibeCodeBench |
2 |
Google: gemini-4-argon |
91.9 |
| VIBE-V2 |
2 |
MiniMax: MiniMax M3 |
50.1 |
| VideoGameBench Full |
5 |
Google: gemini-2.5-pro |
0.48 |
| VideoGameBench Lite |
5 |
Google: gemini-2.5-pro |
1.6 |
| Video-MME-v2 |
4 |
Meta: muse-spark-open-816b-a42b |
61.5 |
| Video-MME (w/o subs) |
3 |
Google: gemini-decision-1 |
69.1 |
| VideoMME (w/ sub) |
1 |
MiniMax: MiniMax M3 |
85.4 |
| Video-MMMU |
1 |
MiniMax: MiniMax M3 |
84.6 |
| VideoPhy2 |
5 |
NVIDIA Corporation: cosmos3-super |
47.4 |
| VisDrone (Accuracy) (Test set) |
4 |
dronefreak: visdrone-yolov26x |
52.91 |
| Vision2Web |
1 |
Qwen: qwen3.8-max |
69 |
| VizWiz-VQA |
2 |
Qwen: qwen2.5-vl-3b-instruct |
60.99 |
| VLABench Primitive Tasks - LeRobot v3.0 |
4 |
lerobot: pi0_base |
44.5 |
| VLADBench |
1 |
NVIDIA Corporation: alpamayo2-edge |
69.94 |
| VLMsAreBlind |
1 |
Qwen: Qwen3.5 27B |
97 |
| Vocals Leaderboard (Arena) - Artificial Analysis (Snapshot from 17 june 2026) |
13 |
Suno: Suno V5.5 |
1171 |
| VQAv2 |
3 |
Google: Gemma 3 27B Pretrained |
72.9 |
| VSI-Bench |
4 |
NVIDIA Corporation: cosmos3-super |
60.9 |
| WANDR (relaxed score) |
4 |
Anthropic: claude-fable-5.2 |
82.1 |
| WaymoQA |
1 |
NVIDIA Corporation: alpamayo2-edge |
75.77 |
| WBench Full |
3 |
Tencent: hunyuanvideo-1.5 |
74.3 |
| WBench Navi |
11 |
robbyant: lingbot-world-fast |
78.8 |
| WeMath |
1 |
OpenBMB: minicpm-v-4.6 |
48.8 |
| When2Call |
4 |
typesafe: jev-1.14 |
82 |
| Where2Place |
5 |
NVIDIA Corporation: cosmos3-super |
71 |
| WideSearch |
7 |
Ornith: ornith-1.5-397b |
80.8 |
| WikiText103 (-ppl) |
1 |
OpenAI Community: GPT-2 |
-37.5 |
| WikiText-2 (-ppl) |
56 |
Yandex: YandexGPT Lite 5 |
-7.0947 |
| WildClawBench |
16 |
Nex AGI: Nex-N2 Pro |
53.5 |
| WildSongBench |
4 |
m-a-p: yue2-3b |
6.9632 |
| WinoGrande |
65 |
NON AI - НЕ ИИ: Human baseline - Человеческий результат |
92 |
| WMT24++ |
5 |
NVIDIA Corporation: nvidia-nemotron-3.5-super-vl-120b-a12b |
84.8 |
| WorkBuddy Bench |
3 |
sensenova: sensenova-loop-9b-preview |
66.89 |
| WSC |
1 |
AMD: AMD-135m |
36.54 |
| xbench |
2 |
Tencent: youtu-llm-2b |
19.5 |
| XLRS-Bench |
2 |
Intern Language Models: intern-s1 |
55 |
| XNLI, 14 other languages |
2 |
convaiinnovations: laya-multilingual |
73.1 |
| XNLI, English |
2 |
convaiinnovations: laya |
86 |
| XQuAD |
4 |
Google: Gemma 3 27B Pretrained |
76.8 |
| XSTest |
1 |
JetBrains: Mellum2 Thinking |
89.6 |
| YC-Bench |
17 |
MiniMax: MiniMax M3 |
2100000 |
| ZebraLogic |
5 |
diffuspace: clover-35b-a3b-preview |
95.8 |
| ZebraLogic Easy |
4 |
Anthropic: claude-3.5-sonnet |
87.5 |
| ZebraLogic Hard |
4 |
Anthropic: claude-3.5-sonnet |
12.4 |