| 🇺🇸 |
1 |
Anthropic: claude-opus-5 |
61 |
| 🇺🇸 |
2 |
Anthropic: Claude Fable 5 |
60 |
| 🇺🇸 |
3 |
OpenAI: gpt-5.6-sol |
59 |
| 🇨🇳 |
4 |
Moonshot AI: kimi-k3月之暗面 |
57 |
| 🇺🇸 |
5 |
Anthropic: Claude Opus 4.8 |
56 |
| 🇺🇸 |
6 |
OpenAI: GPT-5.5 |
55 |
| 🇺🇸 |
7 |
OpenAI: gpt-5.6-terra |
55 |
| 🇺🇸 |
8 |
SpaceXAI: grok-4.5 |
54 |
| 🇺🇸 |
9 |
Anthropic: claude-sonnet-5 |
53 |
| 🇺🇸 |
10 |
Meta: muse-spark-1.1 |
51 |
| 🇨🇳 |
11 |
Z.ai: GLM 5.2北京智谱华章科技有限公司 |
51 |
| 🇺🇸 |
12 |
OpenAI: GPT-5.4 |
51 |
| 🇺🇸 |
13 |
OpenAI: gpt-5.6-luna |
51 |
| 🇺🇸 |
14 |
Google: gemini-3.6-flash |
50 |
| 🇨🇳 |
15 |
DeepSeek: deepseek-v4-flash-0731深度求索 |
50 |
| 🇺🇸 |
16 |
Google: Gemini 3.5 Flash |
50 |
| 🇺🇸 |
17 |
Anthropic: Claude Sonnet 4.6 |
47 |
| 🇺🇸 |
18 |
Google: Gemini 3.1 Pro Preview |
46 |
| 🇨🇳 |
19 |
Qwen: Qwen3.7 Max通义千问 |
46 |
| 🇨🇳 |
20 |
MiniMax: MiniMax M3稀宇科技 |
44 |
| 🇨🇳 |
21 |
DeepSeek: DeepSeek V4 Pro深度求索 |
44 |
| 🇺🇸 |
22 |
OpenAI: gpt-5.3-codex |
44 |
| 🇺🇸 |
23 |
Anthropic: Claude Opus 4.7 |
43 |
| 🇺🇸 |
24 |
Meta: Muse Spark |
43 |
| 🇨🇳 |
25 |
Moonshot AI: Kimi K2.6月之暗面 |
43 |
| 🇨🇳 |
26 |
Moonshot AI: Kimi K2.7 Code月之暗面 |
42 |
| 🇨🇳 |
27 |
Xiaomi: MiMo-V2.5 Pro小米集团 |
42 |
| 🇺🇸 |
28 |
OpenAI: gpt-5.2 |
42 |
| 🇨🇳 |
29 |
Tencent: hy3腾讯控股有限公司 |
41 |
| 🇺🇸 |
30 |
Thinking Machines Lab: inkling |
41 |
| 🇨🇳 |
31 |
Nex AGI: Nex-N2 Pro |
41 |
| 🇨🇳 |
32 |
DeepSeek: DeepSeek V4 Flash深度求索 |
40 |
| 🇨🇳 |
33 |
Xiaomi: MiMo-V2.5小米集团 |
40 |
| 🇨🇳 |
34 |
Xiaomi: mimo-v2-pro小米集团 |
40 |
| 🇨🇳 |
35 |
Z.ai: GLM 5北京智谱华章科技有限公司 |
40 |
| 🇨🇳 |
36 |
Z.ai: GLM 5.1北京智谱华章科技有限公司 |
40 |
| 🇺🇸 |
37 |
OpenAI: gpt-5.4-mini |
40 |
| 🇺🇸 |
38 |
OpenAI: gpt-5.2-codex |
40 |
| 🇺🇸 |
39 |
SpaceXAI: Grok Build 0.1 |
40 |
| 🇺🇸 |
40 |
OpenAI: gpt-5.1 |
39 |
| 🇨🇳 |
41 |
Qwen: qwen3.7-plus通义千问 |
39 |
| 🇺🇸 |
42 |
NVIDIA Corporation: nvidia-nemotron-3-ultra |
38 |
| 🇺🇸 |
43 |
SpaceXAI: Grok 4.3 |
38 |
| 🇨🇳 |
44 |
MiniMax: minimax-m2.7稀宇科技 |
38 |
| 🇨🇳 |
45 |
Moonshot AI: Kimi K2.5月之暗面 |
38 |
| 🇺🇸 |
46 |
OpenAI: gpt-5.4-nano |
38 |
| 🇨🇳 |
47 |
Qwen: qwen3.6-27b通义千问 |
37 |
| 🇺🇸 |
48 |
SpaceXAI: Grok 4.20 |
37 |
| 🇺🇸 |
49 |
SpaceXAI: grok-4.20-0309-v2 |
37 |
| 🇺🇸 |
50 |
Google: gemini-3.5-flash-lite |
36 |
| 🇺🇸 |
51 |
OpenAI: GPT-5 |
36 |
| 🇺🇸 |
52 |
OpenAI: gpt-5-codex |
36 |
| 🇨🇳 |
53 |
Moonshot AI: Kimi K2.6 Instant月之暗面 |
35 |
| 🇺🇸 |
54 |
OpenAI: gpt-5.1-codex |
35 |
| ❓ |
55 |
Kwaipilot: kat-coder-pro-v2 |
35 |
| ❓ |
56 |
Kwaipilot: kat-coder-pro-v1 |
35 |
| 🇨🇳 |
57 |
Xiaomi: mimo-v2-omni小米集团 |
35 |
| 🇨🇳 |
58 |
MiniMax: MiniMax M2.5稀宇科技 |
34 |
| 🇨🇳 |
59 |
Z.ai: GLM 4.7北京智谱华章科技有限公司 |
34 |
| 🇨🇳 |
60 |
Qwen: Qwen3.5 27B通义千问 |
34 |
| 🇨🇳 |
61 |
Qwen: qwen3.5-397b-a17b通义千问 |
34 |
| 🇺🇸 |
62 |
OpenAI: gpt-5.5-instant |
34 |
| 🇨🇳 |
63 |
Tencent: Hy3 Preview腾讯控股有限公司 |
34 |
| 🇨🇳 |
64 |
DeepSeek: deepseek-v3.2深度求索 |
33 |
| 🇺🇸 |
65 |
OpenAI: o3-pro |
33 |
| 🇨🇳 |
66 |
Moonshot AI: Kimi K2 Thinking月之暗面 |
33 |
| 🇺🇸 |
67 |
OpenAI: GPT-5 Mini |
33 |
| 🇺🇸 |
68 |
SpaceXAI: Grok 4 |
33 |
| 🇨🇳 |
69 |
Qwen: qwen3.5-122b-a10b通义千问 |
32 |
| 🇨🇳 |
70 |
Qwen: qwen3.6-35b-a3b通义千问 |
32 |
| 🇨🇳 |
71 |
Qwen: qwen3-max通义千问 |
32 |
| 🇺🇸 |
72 |
SpaceXAI: Grok 4.1 Fast |
31 |
| 🇨🇳 |
73 |
MiniMax: MiniMax M2.1稀宇科技 |
31 |
| 🇨🇳 |
74 |
Xiaomi: mimo-v2-flash小米集团 |
31 |
| 🇨🇳 |
75 |
inclusionAI: ring-2.6-1t |
31 |
| 🇺🇸 |
76 |
Anthropic: claude-4.5-haiku |
30 |
| 🇺🇸 |
77 |
OpenAI: o3 |
30 |
| 🇫🇷 |
78 |
Mistral AI: mistral-medium-3.5-128b |
30 |
| 🇺🇸 |
79 |
Google: Gemma 4 31B Instruct |
29 |
| 🇨🇳 |
80 |
Qwen: Qwen3.5 35B A3B通义千问 |
29 |
| 🇨🇦 |
81 |
Cohere Labs: command-a-plus-05-2026-bf16 |
29 |
| 🇨🇳 |
82 |
China Mobile: jt-35b-flash中国移动通信集团公司 |
28 |
| 🇺🇸 |
83 |
Google: gemini-2.5-pro |
27 |
| 🇺🇸 |
84 |
SpaceXAI: Grok 4 Fast |
27 |
| 🇨🇳 |
85 |
DeepSeek: deepseek-v3.1-terminus深度求索 |
26 |
| 🇺🇸 |
86 |
OpenAI: o4-mini |
26 |
| 🇨🇳 |
87 |
ByteDance Seed: doubao-seed-code字节跳动 |
26 |
| 🇨🇳 |
88 |
inclusionAI: ling-2.6-1t |
26 |
| 🇨🇳 |
89 |
Qwen: Qwen3.5 9B通义千问 |
25 |
| 🇨🇳 |
90 |
DeepSeek: deepseek-v3.2-exp深度求索 |
25 |
| 🇺🇸 |
91 |
Google: gemini-3.1-flash-lite |
25 |
| 🇺🇸 |
92 |
NVIDIA Corporation: nvidia-nemotron-3-super-120b-a12b |
25 |
| 🇨🇳 |
93 |
Z.ai: glm-4.6北京智谱华章科技有限公司 |
25 |
| 🇺🇸 |
94 |
Google: Gemma 4 26B A4B Instruct |
24 |
| 🇺🇸 |
95 |
OpenAI: gpt-oss-120b |
24 |
| 🇺🇸 |
96 |
Arcee AI: trinity-large-thinking |
24 |
| 🇨🇳 |
97 |
Z.ai: glm-4.7-flash北京智谱华章科技有限公司 |
23 |
| 🇰🇷 |
98 |
LG AI Research: exaone-4.5-33b주식회사 엘지 |
23 |
| 🇺🇸 |
99 |
OpenAI: o1 |
23 |
| 🇺🇸 |
100 |
SpaceXAI: Grok 3 Mini |
23 |
| 🇺🇸 |
101 |
Google: Gemma 4 12B Instruct |
22 |
| 🇨🇳 |
102 |
DeepSeek: deepseek-v3.2-speciale深度求索 |
22 |
| 🇺🇸 |
103 |
Amazon: nova-2.0-pro |
22 |
| 🇺🇸 |
104 |
SpaceXAI: grok-code-fast-1 |
22 |
| 🇨🇳 |
105 |
Baidu: ernie-5.0-thinking百度 |
22 |
| 🇨🇳 |
106 |
Qwen: qwen3-235b-a22b-2507通义千问 |
22 |
| 🇨🇳 |
107 |
DeepSeek: deepseek-v3.1深度求索 |
21 |
| 🇫🇷 |
108 |
Mistral AI: mistral-small-4-119b-2603 |
21 |
| 🇺🇸 |
109 |
Amazon: nova-2.0-lite |
21 |
| 🇨🇦 |
110 |
Cohere Labs: north-mini-code-1.0 |
21 |
| 🇺🇸 |
111 |
OpenAI: GPT-5 Nano |
20 |
| 🇨🇳 |
112 |
Qwen: Qwen3.5 4B通义千问 |
20 |
| 🇨🇳 |
113 |
DeepSeek: deepseek-r1-0528深度求索 |
20 |
| 🇺🇸 |
114 |
Google: gemini-2.5-flash |
20 |
| 🇺🇸 |
115 |
OpenAI: o3-mini |
19 |
| 🇨🇳 |
116 |
China Mobile: jt-mini中国移动通信集团公司 |
19 |
| 🇨🇳 |
117 |
Moonshot AI: Kimi K2 Instruct月之暗面 |
19 |
| 🇨🇳 |
118 |
inclusionAI: ling-2.6-flash |
19 |
| 🇫🇷 |
119 |
Mistral AI: devstral-2 |
19 |
| 🇨🇳 |
120 |
MiniMax: minimax-m1-80k稀宇科技 |
18 |
| ❓ |
121 |
perplexity: sonar-reasoning-pro |
18 |
| 🇺🇸 |
122 |
SpaceXAI: Grok 3 |
18 |
| 🇨🇳 |
123 |
ByteDance Seed: seed-oss-36b-instruct字节跳动 |
18 |
| ❓ |
124 |
LLM360: k2-think-v2 |
17 |
| ❓ |
125 |
naver-hyperclovax: hyperclovax-seed-think-32b |
17 |
| 🇨🇳 |
126 |
Meituan LongCat: longcat-flash-lite |
17 |
| 🇨🇳 |
127 |
Z.ai: glm-4.6v北京智谱华章科技有限公司 |
17 |
| 🇨🇳 |
128 |
DeepSeek: deepseek-v3-0324深度求索 |
16 |
| 🇺🇸 |
129 |
OpenAI: gpt-4.1-mini |
16 |
| ❓ |
130 |
primeintellect: intellect-3 |
16 |
| 🇨🇳 |
131 |
inclusionAI: ring-1t |
16 |
| 🇺🇸 |
132 |
OpenAI: gpt-oss-20b |
15 |
| 🇺🇸 |
133 |
NVIDIA Corporation: nemotron-3-nano-omni-30b-a3b |
15 |
| 🇺🇸 |
134 |
SpaceXAI: Grok 3 Reasoning Beta |
15 |
| ❓ |
135 |
upstage: solar-open-100b |
15 |
| 🇺🇸 |
136 |
OpenAI: gpt-4.5 |
14 |
| 🇺🇸 |
137 |
NVIDIA Corporation: nvidia-nemotron-3-nano-30b-a3b |
14 |
| 🇺🇸 |
138 |
Meta Llama: Llama 4 Maverick Instruct |
14 |
| 🇨🇳 |
139 |
MiniMax: minimax-m1-40k稀宇科技 |
14 |
| ❓ |
140 |
upstage: solar-pro-3 |
14 |
| 🇺🇸 |
141 |
OpenAI: o1-mini |
14 |
| 🇨🇳 |
142 |
DeepSeek: DeepSeek R1深度求索 |
13 |
| 🇨🇳 |
143 |
inclusionAI: ling-1t |
13 |
| 🇫🇷 |
144 |
Mistral AI: devstral-small-2 |
13 |
| 🇺🇸 |
145 |
Google: Gemma 4 E4B Instruct |
12 |
| ❓ |
146 |
perplexity: sonar-reasoning |
12 |
| 🇨🇳 |
147 |
OpenBMB: minicpm5-1b |
12 |
| 🇮🇳 |
148 |
Sarvam AI: sarvam-105b |
12 |
| 🇫🇷 |
149 |
Mistral AI: devstral-small-2505 |
12 |
| 🇫🇷 |
150 |
Mistral AI: devstral-medium |
12 |
| 🇨🇳 |
151 |
DeepSeek: deepseek-r1-distill-qwen-32b深度求索 |
11 |
| 🇨🇳 |
152 |
DeepSeek: deepseek-v3深度求索 |
10 |
| 🇨🇳 |
153 |
Qwen: qwen2.5-max通义千问 |
10 |
| 🇨🇳 |
154 |
Qwen: qwen2.5-72b-instruct通义千问 |
10 |
| 🇨🇳 |
155 |
Qwen: Qwen3.5 2B通义千问 |
10 |
| 🇨🇳 |
156 |
DeepSeek: deepseek-r1-distill-llama-70b深度求索 |
10 |
| 🇨🇳 |
157 |
DeepSeek: deepseek-r1-distill-qwen-14b深度求索 |
10 |
| 🇺🇸 |
158 |
Google: gemini-1.5-pro |
10 |
| 🇨🇳 |
159 |
DeepSeek: deepseek-r1-distill-qwen3-8b深度求索 |
10 |
| 🇺🇸 |
160 |
Meta Llama: Llama 4 Scout Instruct |
10 |
| 🇫🇷 |
161 |
Mistral AI: ministral-3-14b-instruct-2512 |
10 |
| 🇨🇳 |
162 |
Qwen: qwen3-14b通义千问 |
10 |
| ❓ |
163 |
perplexity: sonar |
10 |
| ❓ |
164 |
NousResearch: hermes-4-70b |
10 |
| 🇨🇳 |
165 |
Qwen: qwen3-32b通义千问 |
10 |
| 🇦🇪 |
166 |
Technology Innovation Institute: falcon-h1r-7b |
10 |
| 🇨🇳 |
167 |
inclusionAI: ling-flash-2.0 |
10 |
| 🇨🇳 |
168 |
Moonshot AI: kimi-linear-48b-a3b-instruct月之暗面 |
9 |
| 🇺🇸 |
169 |
Google: Gemma 4 E2B Instruct |
9 |
| 🇺🇸 |
170 |
Meta Llama: Llama 3.1 405B Instruct |
9 |
| 🇨🇳 |
171 |
Z.ai: glm-4.5v北京智谱华章科技有限公司 |
9 |
| 🇨🇳 |
172 |
Qwen: qwq-32b通义千问 |
9 |
| 🇺🇸 |
173 |
Meta Llama: Llama 3.3 70B Instruct |
9 |
| 🇫🇷 |
174 |
Mistral AI: ministral-3-8b-instruct-2512 |
9 |
| 🇺🇸 |
175 |
IBM Granite: granite-4.1-30b |
9 |
| 🇺🇸 |
176 |
NVIDIA Corporation: NVIDIA Nemotron 3 Nano 4B |
9 |
| ❓ |
177 |
perplexity: sonar-pro |
9 |
| ❓ |
178 |
NousResearch: hermes-4-405b |
9 |
| 🇨🇳 |
179 |
StepFun: step-3-vl-10b上海阶跃星辰智能科技有限公司 |
9 |
| ❓ |
180 |
upstage: solar-pro-2 |
9 |
| 🇨🇳 |
181 |
Baidu: ernie-4.5-300b-a47b百度 |
9 |
| 🇨🇳 |
182 |
Qwen: qwen3-30b-a3b通义千问 |
9 |
| 🇺🇸 |
183 |
Google: gemini-1.5-flash |
8 |
| 🇺🇸 |
184 |
OpenAI: gpt-4o |
8 |
| 🇺🇸 |
185 |
OpenAI: gpt-4-turbo |
8 |
| 🇨🇳 |
186 |
Qwen: Qwen3 4B通义千问 |
8 |
| 🇨🇦 |
187 |
Cohere Labs: c4ai-command-a-03-2025 |
8 |
| 🇺🇸 |
188 |
Amazon: nova-pro-v1 |
8 |
| 🇨🇳 |
189 |
Qwen: qwen3-vl-8b-instruct通义千问 |
8 |
| 🇺🇸 |
190 |
LiquidAI: lfm-2.5-8b-a1b |
8 |
| 🇺🇸 |
191 |
Ai2: olmo-3.1-32b-think |
8 |
| 🇨🇳 |
192 |
inclusionAI: ring-flash-2.0 |
8 |
| 🇨🇳 |
193 |
Qwen: qwen3-vl-4b-instruct通义千问 |
8 |
| 🇺🇸 |
194 |
Meta Llama: llama-3.1-70b-instruct |
7 |
| 🇨🇳 |
195 |
DeepSeek: deepseek-v2.5深度求索 |
7 |
| 🇺🇸 |
196 |
OpenAI: gpt-4o-mini |
7 |
| 🇺🇸 |
197 |
OpenAI: gpt-4 |
7 |
| 🇺🇸 |
198 |
OpenAI: gpt-4.1-nano |
7 |
| 🇺🇸 |
199 |
IBM Granite: Granite 4.1 8B |
7 |
| 🇨🇳 |
200 |
Qwen: Qwen3 8B通义千问 |
7 |
| 🇨🇳 |
201 |
Qwen: qwen2.5-coder-32b-instruct通义千问 |
7 |
| 🇺🇸 |
202 |
Amazon: nova-lite-v1 |
7 |
| 🇮🇳 |
203 |
Sarvam AI: sarvam-30b |
7 |
| 🇺🇸 |
204 |
SpaceXAI: Grok-1 |
6 |
| 🇨🇳 |
205 |
DeepSeek: DeepSeek R1 Distill Llama 8B深度求索 |
6 |
| 🇺🇸 |
206 |
Meta Llama: Llama 3.1 8B Instruct |
6 |
| 🇺🇸 |
207 |
Meta Llama: Llama 3.2 90B Instruct |
6 |
| 🇫🇷 |
208 |
Mistral AI: ministral-3-3b-instruct-2512 |
6 |
| 🇺🇸 |
209 |
Ai2: olmo-3-32b-think |
6 |
| 🇨🇳 |
210 |
Qwen: qwen2-72b-instruct通义千问 |
6 |
| ❓ |
211 |
upstage: solar-mini |
6 |
| 🇺🇸 |
212 |
Ai2: olmo-3.1-32b-instruct |
6 |
| 🇨🇳 |
213 |
Qwen: qwen2.5-turbo通义千问 |
6 |
| 🇺🇸 |
214 |
Microsoft: phi-3-mini-4k-instruct |
5 |
| 🇺🇸 |
215 |
Microsoft: phi-4 |
5 |
| 🇨🇳 |
216 |
Qwen: Qwen3.5 0.8B通义千问 |
5 |
| 🇺🇸 |
217 |
Google: Gemma 3 27B Instruct |
5 |
| ❓ |
218 |
NousResearch: hermes-3-llama-3.1-70b |
5 |
| 🇺🇸 |
219 |
Google: gemini-1.0-ultra |
5 |
| 🇺🇸 |
220 |
Ai2: olmo-2-0325-32b-instruct |
5 |
| 🇺🇸 |
221 |
Amazon: nova-micro-v1 |
5 |
| 🇺🇸 |
222 |
Microsoft: phi-4-multimodal-instruct |
5 |
| 🇮🇱 |
223 |
AI21: jamba-1.7-large |
5 |
| 🇮🇱 |
224 |
AI21: jamba-1.5-large |
5 |
| 🇮🇱 |
225 |
AI21: jamba-1.6-large |
5 |
| 🇺🇸 |
226 |
Anthropic: claude-2.0 |
4 |
| 🇺🇸 |
227 |
Anthropic: claude-2.1 |
4 |
| 🇺🇸 |
228 |
Anthropic: claude-3-haiku |
4 |
| 🇺🇸 |
229 |
OpenAI: GPT-3.5 Turbo |
4 |
| 🇨🇳 |
230 |
DeepSeek: deepseek-r1-distill-qwen-1.5b深度求索 |
4 |
| 🇨🇳 |
231 |
Qwen: qwen1.5-110b-chat通义千问 |
4 |
| 🇺🇸 |
232 |
Meta Llama: Llama 3.2 3B Instruct |
4 |
| 🇺🇸 |
233 |
Meta Llama: llama-2-7b-chat |
4 |
| 🇺🇸 |
234 |
Ai2: olmo-3-7b-think |
4 |
| 🇺🇸 |
235 |
Ai2: olmo-2-1124-7b-instruct |
4 |
| 🇮🇱 |
236 |
AI21: jamba-reasoning-3b |
4 |
| 🇨🇳 |
237 |
Qwen: qwen3-1.7b通义千问 |
3 |
| 🇺🇸 |
238 |
Microsoft: phi-4-mini-instruct |
3 |
| 🇺🇸 |
239 |
LiquidAI: LFM2.5 1.2B Instruct |
3 |
| 🇺🇸 |
240 |
LiquidAI: LFM2.5 1.2B Thinking |
3 |
| 🇺🇸 |
241 |
Google: Gemma 3 12B Instruct |
3 |
| 🇺🇸 |
242 |
Meta Llama: llama-3.2-11b-instruct |
3 |
| 🇺🇸 |
243 |
Meta Llama: llama-2-70b-chat |
3 |
| 🇺🇸 |
244 |
Meta Llama: llama-2-13b-chat |
3 |
| 🇨🇦 |
245 |
Cohere Labs: c4ai-command-r-plus |
3 |
| 🇺🇸 |
246 |
Google: Gemini 1.0 Pro |
3 |
| 🇺🇸 |
247 |
Ai2: olmo-3-7b-instruct |
3 |
| 🇨🇳 |
248 |
DeepSeek: deepseek-coder-v2-lite-instruct深度求索 |
3 |
| 🇮🇳 |
249 |
Sarvam AI: sarvam-m |
3 |
| 🇮🇱 |
250 |
AI21: jamba-1.7-mini |
3 |
| 🇮🇱 |
251 |
AI21: jamba-1.5-mini |
3 |
| 🇮🇱 |
252 |
AI21: jamba-1.6-mini |
3 |
| 🇺🇸 |
253 |
Snowflake: arctic-instruct |
3 |
| 🇨🇳 |
254 |
OpenChat: openchat-3.5 |
3 |
| 🇺🇸 |
255 |
Databricks: DBRX Instruct |
3 |
| 🇺🇸 |
256 |
Anthropic: claude-instant |
2 |
| 🇺🇸 |
257 |
Google: Gemma 3 270M Instruct |
2 |
| 🇨🇦 |
258 |
Cohere Labs: c4ai-command-r7b-12-2024 |
2 |
| 🇺🇸 |
259 |
Ai2: molmo2-8b |
2 |
| 🇺🇸 |
260 |
IBM Granite: granite-3.3-8b-instruct |
2 |
| 🇺🇸 |
261 |
LiquidAI: lfm-2-8b-a1b |
2 |
| 🇺🇸 |
262 |
IBM Granite: granite-4.0-1b |
2 |
| 🇨🇳 |
263 |
Qwen: Qwen3 0.6B通义千问 |
1 |
| 🇨🇦 |
264 |
Cohere Labs: Tiny Aya Global |
1 |
| 🇺🇸 |
265 |
Google: Gemma 3 1B Instruct |
1 |
| 🇺🇸 |
266 |
Meta Llama: llama-3.2-1b-instruct |
1 |
| 🇺🇸 |
267 |
Google: Gemma 3 4B Instruct |
1 |
| 🇺🇸 |
268 |
Google: Gemma 3n E4B Instruct |
1 |
| 🇺🇸 |
269 |
Google: Gemma 3n E2B Instruct |
1 |