Note: Overall leaderboard rankings may not reflect true model quality — individual benchmarks give a clearer picture. ARC-Challenge MMLU GPQA GSM8K Artificial Analysis Intelligence Index v4.1
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Tencent: hy3

14 benchmarks
CompanyTencent 腾讯控股有限公司
Country of originChina

Leaderboard position

#107
Overall rank (of 1121 models)
2224
Elo rating
14
Benchmarks
Top 9.5%
Percentile
In Tencent (of 12 models)

Benchmark highlights

Best benchmark
BrowseComp 84.2
Worst benchmark
MathArena Apex 38.7

Nearest competitor from another company

The model from another company with the most similar benchmark scores.

appeared as nearest in 2 of 14 benchmarks

Benchmarks

Predicted scores

Estimated from 25 similar models and the global Elo rating. These are projections, not measured results.

Benchmark Predicted Confidence Based on
Artificial Analysis Intelligence Index v4.0 (Maximum Reasoning) ~47.44 66% Xiaomi: MiMo-V2.5 Pro, Meta: Muse Spark, Anthropic: Claude Opus 4.7
IFBench ~76.57 65% Xiaomi: MiMo-V2.5 Pro, Meta: Muse Spark, Qwen: qwen3.7-plus
SciCode ~48.67 65% Xiaomi: MiMo-V2.5 Pro, Meta: Muse Spark, Google: Gemini 3.1 Pro Preview
Text Arena (Snapshot from 20 june 2026) ~1468.91 65% Xiaomi: MiMo-V2.5 Pro, Meta: Muse Spark, Anthropic: Claude Opus 4.7
MMMU-Pro ~78.45 64% Meta: Muse Spark, Google: Gemini 3.1 Pro Preview, MiniMax: MiniMax M3
Artificial Analysis Intelligence Index v4.3.2 ~33.49 64% Qwen: qwen3.7-plus, MiniMax: MiniMax M3, Qwen: qwen3.8-flash-next
Artificial Analysis Agentic Index (Maximum Reasoning) ~62.39 64% Xiaomi: MiMo-V2.5 Pro, Meta: Muse Spark, Anthropic: Claude Opus 4.7
AIME 2026 ~99.09 63% Moonshot AI: Kimi K2.6, Z.ai: GLM 5.1, recursiveai: ripple-65b-preview
GPQA Diamond ~88.24 63% Xiaomi: MiMo-V2.5 Pro, Nex AGI: Nex-N2 Pro, Meta: Muse Spark
MMLU-Pro ~90.53 63% Xiaomi: MiMo-V2.5 Pro, DeepSeek: DeepSeek V4 Pro, recursiveai: ripple-65b-preview
Humanity's Last Exam (no tools) ~36.48 63% Xiaomi: MiMo-V2.5 Pro, Meta: Muse Spark, Anthropic: Claude Opus 4.7
SWE-bench Verified ~81.99 63% Xiaomi: MiMo-V2.5 Pro, Nex AGI: Nex-N2 Pro, Anthropic: Claude Opus 4.7
GPQA ~88.41 63% Xiaomi: MiMo-V2.5 Pro, Anthropic: Claude Opus 4.7, Google: Gemini 3.1 Pro Preview
Terminal-Bench v2.0 ~61.38 63% Xiaomi: MiMo-V2.5 Pro, Anthropic: Claude Opus 4.7, Qwen: qwen3.7-plus
HMMT Feb 2026 ~90.78 62% Moonshot AI: Kimi K2.6, Z.ai: GLM 5.1, recursiveai: ripple-65b-preview
LiveCodeBench v6 ~85.13 62% Xiaomi: MiMo-V2.5 Pro, Moonshot AI: Kimi K2.6, Qwen: qwen3.8-27b
AA-Omniscience Accuracy ~31.04 59% Xiaomi: MiMo-V2.5 Pro, Meta: Muse Spark, Xiaomi: MiMo-V2.5
AIME 2025 ~100 58% recursiveai: ripple-65b-preview, DeepSeek: deepseek-v3.2, OpenBMB: minicpm5-2b
IFEval ~96.75 58% Nex AGI: Nex-N2 Pro, Nex AGI: Nex-N2 Mini, xhtoken: spark-x2.6-4b
Artificial Analysis Intelligence Index v5.0.1 ~23.45 58% Qwen: qwen3.8-27b, Meta: muse-spark-open-816b-a42b, nanbeige: nanbeige4.3-33b
Artifical Analysis Intelligence Index v5.0 ~22.34 58% Qwen: qwen3.8-27b, Meta: muse-spark-open-816b-a42b, Meta: muse-glimmer-30b
TauBench V2 (Telecom) ~88.85 58% Xiaomi: MiMo-V2.5 Pro, Meta: Muse Spark, MiniMax: MiniMax M3
ParseBench ~68.73 58% Qwen: qwen3.8-27b, Qwen: qwen3.6-35b-a3b, Google: Gemma 4 31B Instruct
LLMArena (llmarena.ru) (Snapshot from 19 june 2026) ~1141.89 58% Google: Gemini 3.1 Pro Preview, OpenAI: gpt-oss-120b, DeepSeek: deepseek-v3.2
MMLU ~92.5 57% recursiveai: ripple-65b-preview