LLM Leaderboard - Comparison of AI models from OpenAI, Anthropic, Google, SpaceXAI & others
Comparison and ranking the performance of over 250 AI models (LLMs) across key metrics including intelligence, price, performance and speed (output speed - tokens per second & latency - TTFT), context window & others.
For more details including relating to our methodology, see our FAQs.
Intelligence
Gemini 4 Carbon (high) and Claude Opus 5.5 (max with fallback) are the highest intelligence models, followed by Gemini 4 Carbon (medium) and Claude Opus 5.5 (xhigh with fallback).
Output Speed
Celeris-1 and K2 Horizon 375B A23B are the fastest models, followed by Nemotron 3.5 Super VL and Gemini 3.5 Flash-Lite.
Latency
North Mini Code and Command A+ are the lowest latency models, followed by Nemotron 3 Nano (non-reasoning) and Qwen3.5 9B (non-reasoning).
Cost per Task
K2 Horizon 375B A23B and Command A+ have the lowest cost per task, followed by GPT-6 Luna (low) and Mistral Small 4.
Context Window
Llama 4 Scout and GPT-6 Sol (Daybreak Blue, max) support the largest context windows, followed by Muse Wonder (max) and Ling 3.1 Flash 1019.
Further Analysis | ||||||||
|---|---|---|---|---|---|---|---|---|
Gemini 4 Carbon (high) | 1M | Google | 59 | $7.76 | 95 | 137.57 | 142.86 | |
Claude Opus 5.5 (max with fallback) | 1M | Anthropic | 58 | $10.04 | 96 | 728.68 | 733.91 | |
Gemini 4 Carbon (medium) | 1M | Google | 58 | $6.59 | -- | -- | -- | |
Claude Opus 5.5 (xhigh with fallback) | 1M | Anthropic | 57 | $6.05 | 82 | 128.76 | 134.85 | |
GPT-6 Astra (max) | 1M | OpenAI | 57 | $6.24 | 72 | 367.57 | 374.56 | |
GPT-6 Astra (xhigh) | 1M | OpenAI | 55 | $3.66 | 68 | 197.36 | 204.69 | |
GPT-6 Astra (high) | 1M | OpenAI | 55 | $3.24 | 62 | 95.68 | 103.79 | |
GPT-6.1 Sol (max) | 1M | OpenAI | 55 | $1.27 | 87 | 331.45 | 337.22 | |
Claude Sonnet 5.5 (max with fallback) | 1M | Anthropic | 54 | $10.02 | 137 | 514.91 | 518.56 | |
GPT-6.1 Sol (xhigh) | 1M | OpenAI | 52 | $0.76 | 77 | 144.08 | 150.58 | |
Claude Opus 5.5 (high with fallback) | 1M | Anthropic | 52 | $3.46 | 80 | 47.50 | 53.79 | |
GPT-6 Astra (medium) | 1M | OpenAI | 51 | $2.73 | 57 | 5.09 | 13.92 | |
GPT-6.1 Terra (max) | 1M | OpenAI | 51 | $0.96 | 107 | 264.33 | 269.01 | |
Gemini 4 Argon (high) | 1M | Google | 50 | $7.68 | 83 | 40.47 | 46.47 | |
GPT-6.1 Sol (high) | 1M | OpenAI | 50 | $0.59 | 66 | 69.58 | 77.10 | |
Muse Wonder Full (max) | 1M | Meta | 50 | -- | -- | -- | -- | |
Claude Fable 5.1 (xhigh with fallback) | 1M | Anthropic | 50 | $10.85 | 62 | 73.48 | 81.50 | |
Claude Sonnet 5.5 (xhigh with fallback) | 1M | Anthropic | 50 | $4.09 | 108 | 32.94 | 37.56 | |
Claude Fable 5.1 (max with fallback) | 1M | Anthropic | 49 | $12.99 | 70 | 263.51 | 270.66 | |
Claude Opus 5.5 (medium with fallback) | 1M | Anthropic | 48 | $2.45 | 80 | 19.85 | 26.11 | |
Claude Fable 5.1 (high with fallback) | 1M | Anthropic | 47 | $7.54 | 58 | 17.05 | 25.73 | |
GPT-6.1 Sol (medium) | 1M | OpenAI | 46 | $0.36 | 63 | 8.14 | 16.13 | |
Kimi K3.1 Pro | 1M |  Kimi | 46 | $3.68 | 31 | 3.43 | 84.51 | |
GPT-6.1 Terra (xhigh) | 1M | OpenAI | 45 | $0.40 | 101 | 68.83 | 73.77 | |
Muse Wonder (max) | 1.05M | Meta | 43 | $6.95 | 192 | 26.37 | 39.40 | |
GPT-6 Astra (low) | 1M | OpenAI | 43 | $1.42 | 57 | 2.55 | 11.38 | |
Claude Fable 5.1 (medium with fallback) | 1M | Anthropic | 43 | $5.56 | 58 | 12.88 | 21.56 | |
GPT-6.1 Terra (high) | 1M | OpenAI | 42 | $0.26 | 96 | 20.70 | 25.90 | |
Claude Sonnet 5.5 (high with fallback) | 1M | Anthropic | 41 | $1.64 | 107 | 12.59 | 17.26 | |
Claude Fable 5.1 (low with fallback) | 1M | Anthropic | 38 | $4.47 | 56 | 2.78 | 11.64 | |
GPT-6.1 Terra (medium) | 1M | OpenAI | 38 | $0.17 | 91 | 4.90 | 10.40 | |
Claude Haiku 5.5 (max) | 1M | Anthropic | 36 | $0.41 | 235 | 370.08 | 372.20 | |
Grok 4.7 (high) | 500k |  SpaceXAI | 35 | $6.18 | 76 | 43.19 | 49.74 | |
GPT-6.1 Sol (low) | 1M | OpenAI | 35 | $0.16 | 61 | 2.48 | 10.67 | |
Claude Opus 5.5 (low with fallback) | 1M | Anthropic | 35 | $0.98 | 79 | 10.33 | 16.65 | |
Claude Haiku 5.5 (xhigh) | 1M | Anthropic | 34 | $0.25 | 200 | 71.52 | 74.02 | |
Grok 4.7 (xhigh) | 500k | SpaceXAI | 34 | $7.51 | 80 | 101.98 | 108.19 | |
Qwen3.8 Max (0902) | 984k | Alibaba | 34 | $10.02 | 40 | 2.90 | 66.17 | |
DeepSeek V4.1 Flash 1017 (max) | 1M |  DeepSeek | 32 | $0.60 | 170 | 1.28 | 15.94 | |
GLM-5.3 (max) | 1M |  Z AI | 32 | $5.01 | 89 | 1.43 | 29.53 | |
Grok 4.7 (low) | 500k | SpaceXAI | 31 | $2.92 | 70 | 6.11 | 13.24 | |
Gemini 3.8 Flash (high) | 1M | Google | 31 | $7.77 | 131 | 24.89 | 28.71 | |
GPT-6.1 Terra (non-reasoning) | 1M | OpenAI | 30 | $0.23 | 91 | 0.96 | 6.46 | |
Claude Sonnet 5.5 (medium with fallback) | 1M | Anthropic | 30 | $0.78 | 104 | 1.22 | 6.04 | |
Gemini 3.8 Flash (medium) | 1M | Google | 30 | $6.26 | -- | -- | -- | |
MiMo-V2.6-Pro | 1M |  Xiaomi | 30 | $0.26 | 44 | 3.45 | 60.71 | |
Claude Haiku 5.5 (high) | 1M | Anthropic | 30 | $0.16 | 181 | 31.69 | 34.46 | |
Ling 3.1 Flash 1019 | 1.05M | InclusionAI | 29 | $3.19 | -- | -- | -- | |
GPT-6.1 Terra (low) | 1M | OpenAI | 29 | $0.07 | 91 | 1.43 | 6.93 | |
MiniMax-M3.1-Flash | 1M |  MiniMax | 29 | $0.49 | 136 | 0.90 | 19.29 | |
DeepSeek V4.1 Flash 1017 (high) | 1M | DeepSeek | 29 | -- | -- | -- | -- | |
Step 5 Preview | 1M |  StepFun | 29 | $2.35 | 146 | 0.88 | 18.03 | |
GPT-6 Luna (max) | 1M | OpenAI | 28 | $0.15 | 117 | 112.81 | 117.08 | |
GLM-5.3-Flash | 1M | Z AI | 28 | $0.58 | 76 | 1.47 | 34.41 | |
MiMo-V2.6-Flash | 1M | Xiaomi | 27 | $0.13 | 37 | 4.14 | 71.54 | |
Mistral Large 4 (high) | 1M | Mistral | 26 | $2.06 | -- | -- | -- | |
Claude Sonnet 5.5 (low with fallback) | 1M | Anthropic | 25 | $0.51 | 106 | 1.15 | 5.88 | |
Muse Spark Open (xhigh) | 1.05M | Meta | 25 | $2.02 | 193 | 0.75 | 13.69 | |
Claude Haiku 5.5 (medium) | 1M | Anthropic | 25 | $0.09 | 172 | 13.77 | 16.67 | |
GPT-6 Luna (xhigh) | 1M | OpenAI | 23 | $0.10 | 127 | 40.38 | 44.30 | |
Mistral Large 4 (medium) | 1M | Mistral | 23 | $1.41 | -- | -- | -- | |
DeepSeek V4 Pro 0813 (max) | 1M | DeepSeek | 23 | $1.77 | 94 | 1.79 | 28.52 | |
GLM-5.3 (low) | 1M | Z AI | 23 | $1.57 | 80 | 1.63 | 32.73 | |
Gemini 3.8 Flash (low) | 1M | Google | 22 | -- | -- | -- | -- | |
GPT-6 Luna (high) | 1M | OpenAI | 21 | $0.07 | 119 | 29.02 | 33.22 | |
Nanbeige4.3-33B | 524k |  Nanbeige | 20 | -- | 159 | 1.45 | 17.13 | |
Qwen3.8 27B (xhigh) | 256k | Alibaba | 20 | $3.53 | 41 | 4.01 | 64.83 | |
MiniMax-M3 | 1M | MiniMax | 19 | $1.29 | 120 | 0.71 | 21.53 | |
Claude Haiku 5.5 (low) | 1M | Anthropic | 19 | $0.04 | 167 | 8.83 | 11.83 | |
DeepSeek V4.1 Flash 1017 (non-reasoning) | 1M | DeepSeek | 19 | $0.43 | 185 | 1.38 | 4.08 | |
GPT-6 Luna (medium) | 1M | OpenAI | 18 | $0.04 | -- | -- | -- | |
K2 Horizon 375B A23B | 524k | Institute of Foundation Models | 18 | $0.00 | 720 | 2.38 | 5.85 | |
Beam 1.0 | 1.05M |  Reflection | 18 | $0.28 | 361 | 0.62 | 7.54 | |
Qwen3.8 27B (medium) | 256k | Alibaba | 17 | $2.16 | 51 | 4.08 | 53.01 | |
Qwen3.8 27B (low) | 256k | Alibaba | 16 | $1.91 | 48 | 3.93 | 55.77 | |
Nemotron 3.5 Super VL | 1M | NVIDIA | 14 | $0.54 | 479 | 0.71 | 5.93 | |
Inkling Small | 1M |  Thinking Machines | 13 | $0.20 | 230 | 1.59 | 12.46 | |
Inkling (xhigh) | 1M | Thinking Machines | 12 | $1.35 | 211 | 1.71 | 13.54 | |
Nemotron 3 Ultra | 262k | NVIDIA | 12 | $2.23 | 161 | 1.15 | 18.35 | |
Gemini 3.5 Flash-Lite | 1M | Google | 12 | $0.69 | 423 | 6.22 | 7.40 | |
Qwen3.8 27B (non-reasoning) | 256k | Alibaba | 10 | $3.77 | 46 | 3.96 | 14.85 | |
GPT-6 Luna (low) | 1M | OpenAI | 10 | $0.01 | 121 | 2.81 | 6.96 | |
GPT-6 Luna (non-reasoning) | 1M | OpenAI | 9 | $0.07 | 112 | 0.81 | 5.29 | |
Muse Glimmer (high) | 131k | Meta | 6 | $0.16 | 120 | 1.14 | 21.94 | |
Command A+ | 192k | Cohere | 6 | $0.00 | 154 | 0.47 | 16.72 | |
Nemotron 3.5 Lightning | 1M | NVIDIA | 6 | $0.29 | 295 | 0.56 | 9.04 | |
Granite 4.2 8B | 131k |  IBM | 5 | $0.04 | 61 | 0.91 | 41.85 | |
Granite 4.2 3B | 131k | IBM | 5 | -- | -- | -- | -- | |
Mistral Small 4 | 256k | Mistral | 4 | $0.04 | 158 | 0.75 | 16.56 | |
Nemotron 3 Nano 4B | 262k | NVIDIA | 2 | -- | -- | -- | -- | |
JT-35B-Flash | 256k |  China Mobile | -- | -- | -- | -- | -- | |
Qwen3.5 Omni Plus | 256k | Alibaba | -- | -- | 131 | 2.07 | 5.88 | |
Nova 2.0 Omni (medium) | 1M |  Amazon | -- | -- | -- | -- | -- | |
Qwen3.5 122B A10B (non-reasoning) | 262k | Alibaba | -- | -- | 143 | 2.31 | 5.82 | |
Gemma 4 12B (non-reasoning) | 262k | Google | -- | -- | 117 | 2.20 | 6.46 | |
Gemma 3 270M | 32k | Google | -- | -- | -- | -- | -- | |
Apodex 1.1 | 256k |  Apodex | -- | -- | -- | -- | -- | |
Qwen3.5 2B (non-reasoning) | 262k | Alibaba | -- | -- | -- | -- | -- | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | -- | -- | 95 | 1.87 | 7.16 | |
Nova 2.0 Pro Preview (medium) | 256k | Amazon | -- | -- | 121 | 13.37 | 34.11 | |
Qwen3.5 397B A17B | 262k | Alibaba | -- | -- | 57 | 2.22 | 67.11 | |
Granite 4.2 30B | 131k | IBM | -- | -- | -- | -- | -- | |
K2 Horizon 7B | 524k | Institute of Foundation Models | -- | -- | -- | -- | -- | |
Mistral Small 4 (non-reasoning) | 256k | Mistral | -- | -- | 152 | 0.79 | 4.08 | |
Solar Pro 4 | 512k |  Upstage | -- | -- | 101 | 2.00 | 26.87 | |
gpt-oss-20b (low) | 131k | OpenAI | -- | -- | 245 | 0.76 | 10.97 | |
o3 | 200k | OpenAI | -- | -- | 160 | 6.77 | 9.90 | |
K-EXAONE 2.0 | 262k |  LG AI Research | -- | -- | -- | -- | -- | |
North Mini Code | 256k | Cohere | -- | -- | 87 | 0.40 | 29.01 | |
Nova 2.0 Omni (non-reasoning) | 1M | Amazon | -- | -- | -- | -- | -- | |
Granite 4.0 Micro | 128k | IBM | -- | -- | -- | -- | -- | |
Qwen3.5 9B (non-reasoning) | 262k | Alibaba | -- | -- | 101 | 0.54 | 5.51 | |
Qwen3.5 122B A10B | 262k | Alibaba | -- | -- | 130 | 2.31 | 21.53 | |
Hermes 4 70B (non-reasoning) | 128k |  Nous Research | -- | -- | -- | -- | -- | |
Nemotron 3 Nano (non-reasoning) | 1M | NVIDIA | -- | -- | 266 | 0.52 | 2.40 | |
Qwen3 Next 80B A3B | 262k | Alibaba | -- | -- | 180 | 0.86 | 3.64 | |
Phi-4 Multimodal | 128k |  Microsoft | -- | -- | -- | -- | -- | |
Qwen3.5 9B | 262k | Alibaba | -- | -- | 63 | 1.51 | 41.46 | |
NVIDIA Nemotron Nano 9B V2 (non-reasoning) | 131k | NVIDIA | -- | -- | 171 | 1.01 | 3.94 | |
EXAONE 4.0 32B (non-reasoning) | 131k | LG AI Research | -- | -- | -- | -- | -- | |
G9v3-3B | 131k |  AI9Stars | -- | -- | -- | -- | -- | |
Qwen3.5 4B (non-reasoning) | 262k | Alibaba | -- | -- | 20 | 0.87 | 26.22 | |
Qwen3.5 397B A17B (non-reasoning) | 262k | Alibaba | -- | -- | 59 | 2.25 | 10.76 | |
K2 Horizon 3.7B | 524k | Institute of Foundation Models | -- | -- | -- | -- | -- | |
Olmo 3 7B Think | 65.5k |  Allen Institute for AI | -- | -- | -- | -- | -- | |
HyperCLOVA X SEED Think (32B) | 128k |  Naver | -- | -- | -- | -- | -- | |
HyperNova 60B 2605 (high) | 131k |  Multiverse Computing | -- | -- | -- | -- | -- | |
Nova Micro | 130k | Amazon | -- | -- | 274 | 0.81 | 2.63 | |
EXAONE 4.5 33B (non-reasoning) | 262k | LG AI Research | -- | -- | -- | -- | -- | |
INTELLECT-3 | 131k |  Prime Intellect | -- | -- | -- | -- | -- | |
gpt-oss-20b (high) | 131k | OpenAI | -- | -- | 178 | 0.70 | 14.73 | |
Olmo 3.1 32B Think | 65.5k | Allen Institute for AI | -- | -- | -- | -- | -- | |
Nex-N2-Pro | 262k |  Nex AGI | -- | -- | -- | -- | -- | |
Command A | 256k | Cohere | -- | -- | 15 | 2.06 | 35.01 | |
LFM2.5-VL-1.6B | 32k |  Liquid AI | -- | -- | -- | -- | -- | |
JT-MINI | 128k | China Mobile | -- | -- | -- | -- | -- | |
Molmo2-8B | 36.9k | Allen Institute for AI | -- | -- | -- | -- | -- | |
Qwen3.5 0.8B (non-reasoning) | 262k | Alibaba | -- | -- | -- | -- | -- | |
Ling-3.0-flash-VL | 262k | InclusionAI | -- | -- | -- | -- | -- | |
MiniCPM-V 4.6 1.3B | 262k |  OpenBMB | -- | -- | -- | -- | -- | |
EXAONE 4.0 32B | 131k | LG AI Research | -- | -- | -- | -- | -- | |
Sarvam 105B (high) | 128k |  Sarvam | -- | -- | 110 | 1.64 | 24.47 | |
Llama 3.1 405B | 128k | Meta | -- | -- | -- | -- | -- | |
JT-4.1 Flash 236B A21B | 262k | China Mobile | -- | -- | -- | -- | -- | |
Ring-flash-2.0 | 128k | InclusionAI | -- | -- | -- | -- | -- | |
LFM2.5-1.2B-Instruct | 32k | Liquid AI | -- | -- | -- | -- | -- | |
Apertus 70B Instruct | 65.5k |  Swiss AI Initiative | -- | -- | -- | -- | -- | |
Doubao Seed Code | 256k |  ByteDance Seed | -- | -- | -- | -- | -- | |
EXAONE 4.5 33B | 262k | LG AI Research | -- | -- | -- | -- | -- | |
Gemma 4 E4B (non-reasoning) | 128k | Google | -- | -- | 51 | 0.80 | 10.51 | |
K2 Horizon MoVA 36B A4B | 524k | Institute of Foundation Models | -- | -- | -- | -- | -- | |
Granite 4.0 350M | 32.8k | IBM | -- | -- | -- | -- | -- | |
Kimi Linear 48B A3B Instruct | 1M | Kimi | -- | -- | -- | -- | -- | |
Solar Open 100B | 128k | Upstage | -- | -- | -- | -- | -- | |
GPT-5.3 Codex (xhigh) | 400k | OpenAI | -- | -- | 114 | 64.68 | 69.06 | |
LFM2.5-1.2B-Thinking | 32k | Liquid AI | -- | -- | -- | -- | -- | |
K2 Think V2 | 262k | Institute of Foundation Models | -- | -- | -- | -- | -- | |
LongCat 2.0 | 1M |  LongCat | -- | -- | 77 | 2.66 | 35.04 | |
Qwen3.5 2B | 262k | Alibaba | -- | -- | -- | -- | -- | |
Tri-21B-Think | 32k |  Trillion Labs | -- | -- | -- | -- | -- | |
Granite 4.0 H Small | 128k | IBM | -- | -- | -- | -- | -- | |
Llama 3.2 11B (Vision) | 128k | Meta | -- | -- | 25 | 1.40 | 21.07 | |
LongCat Flash Lite | 256k | LongCat | -- | -- | -- | -- | -- | |
Nemotron 3.5 Bolt E4B 4GB | 131k | NVIDIA | -- | -- | -- | -- | -- | |
Nova 2.0 Lite (high) | 1M | Amazon | -- | -- | 181 | 16.50 | 30.28 | |
Solar Mini 4 | 1.05M | Upstage | -- | -- | 108 | 2.09 | 25.23 | |
MiniCPM5-2B | 131k | OpenBMB | -- | -- | -- | -- | -- | |
Qwen3.5 4B | 262k | Alibaba | -- | -- | 18 | 0.82 | 141.63 | |
Motif-2-12.7B | 128k |  Motif Technologies | -- | -- | -- | -- | -- | |
Qwen3.6 35B A3B (non-reasoning) | 262k | Alibaba | -- | -- | 147 | 2.05 | 5.44 | |
Ministral 3 3B | 256k | Mistral | -- | -- | 181 | 0.78 | 3.54 | |
Hermes 4 70B | 128k | Nous Research | -- | -- | -- | -- | -- | |
Ling-3.0-flash-Fin | 262k | InclusionAI | -- | -- | -- | -- | -- | |
Gemma 4 26B A4B | 256k | Google | -- | -- | 112 | 0.93 | 23.27 | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | -- | -- | -- | -- | -- | |
Qwen3.5 Omni Flash | 256k | Alibaba | -- | -- | 239 | 1.83 | 3.92 | |
Nova 2.0 Lite (low) | 1M | Amazon | -- | -- | 181 | 7.50 | 21.33 | |
Magistral Small 1.2 | 128k | Mistral | -- | -- | 74 | 1.50 | 35.28 | |
Gemma 4 26B A4B (non-reasoning) | 256k | Google | -- | -- | 128 | 0.92 | 4.84 | |
Ministral 3 14B | 256k | Mistral | -- | -- | 61 | 1.17 | 9.32 | |
Gemma 4 E2B (non-reasoning) | 128k | Google | -- | -- | -- | -- | -- | |
Sarvam 30B (high) | 65.5k | Sarvam | -- | -- | -- | -- | -- | |
Mercury 2.5 | 260k |  Inception | -- | -- | -- | -- | -- | |
Nova 2.0 Lite (non-reasoning) | 1M | Amazon | -- | -- | 173 | 1.05 | 3.94 | |
Nemotron 3 Nano | 1M | NVIDIA | -- | -- | 242 | 0.71 | 11.04 | |
DeepSeek V4 Flash Vision (max) | 1M | DeepSeek | -- | -- | 160 | 1.57 | 17.22 | |
MiniCPM5-1B | 128k | OpenBMB | -- | -- | -- | -- | -- | |
Jamba 1.7 Large | 256k |  AI21 Labs | -- | -- | -- | -- | -- | |
Nemotron 3.5 Bolt 74B-A9B | 262k | NVIDIA | -- | -- | -- | -- | -- | |
Nanbeige4.1-3B | 256k | Nanbeige | -- | -- | -- | -- | -- | |
Solar Open2 250B | 1.05M | Upstage | -- | -- | -- | -- | -- | |
Ling 3.0 Tiny | 262k | InclusionAI | -- | -- | 57 | 2.66 | 46.30 | |
Celeris-1 | 131k | Celeris | -- | -- | 1,690 | 0.54 | 0.84 | |
Tiny Aya Global | 8.19k | Cohere | -- | -- | -- | -- | -- | |
A.X-K2 | 262k |  SK Telecom | -- | -- | -- | -- | -- | |
Exaone 4.0 1.2B (non-reasoning) | 64k | LG AI Research | -- | -- | -- | -- | -- | |
Hermes 4 405B | 128k | Nous Research | -- | -- | 41 | 2.31 | 62.65 | |
Magistral Medium 1.2 | 128k | Mistral | -- | -- | -- | -- | -- | |
Qwen3.6 35B A3B | 262k | Alibaba | -- | -- | 133 | 2.04 | 46.21 | |
Apertus 8B Instruct | 65.5k | Swiss AI Initiative | -- | -- | 146 | 3.03 | 6.46 | |
Nemotron 3 Nano Omni 30B A3B | 256k | NVIDIA | -- | -- | 217 | 0.86 | 12.36 | |
Kimi K2.7 Code | 256k | Kimi | -- | -- | 46 | 2.84 | 62.41 | |
Qwen3.8 2.4T A95B | 262k | Alibaba | -- | -- | 38 | 3.04 | 68.32 | |
Olmo 3 7B | 65.5k | Allen Institute for AI | -- | -- | -- | -- | -- | |
JT-4.1 Flash 236B A21B (non-reasoning) | 262k | China Mobile | -- | -- | -- | -- | -- | |
Llama 4 Maverick | 1M | Meta | -- | -- | 60 | 0.98 | 9.31 | |
GPT-6 Sol (Daybreak Blue, max) | 1.05M | OpenAI | -- | -- | -- | -- | -- | |
Olmo 3.1 32B Instruct | 65.5k | Allen Institute for AI | -- | -- | -- | -- | -- | |
Ministral 3 8B | 256k | Mistral | -- | -- | 91 | 0.86 | 6.35 | |
Llama 3.3 70B | 128k | Meta | -- | -- | 91 | 1.77 | 7.26 | |
Nemotron Cascade 2 30B A3B | 1M | NVIDIA | -- | -- | -- | -- | -- | |
R1 1776 | 128k |  Perplexity | -- | -- | -- | -- | -- | |
Qwen3.8-Flash-Next | 256k | Alibaba | -- | -- | 52 | 2.39 | 50.33 | |
Llama 3.2 90B (Vision) | 128k | Meta | -- | -- | -- | -- | -- | |
K2 Horizon 0.9B | 131k | Institute of Foundation Models | -- | -- | -- | -- | -- | |
Phi-4 Mini | 128k | Microsoft | -- | -- | 44 | 0.84 | 12.16 | |
Nova 2.0 Pro Preview (non-reasoning) | 256k | Amazon | -- | -- | 122 | 1.10 | 5.19 | |
K2-V2 (high) | 512k | Institute of Foundation Models | -- | -- | -- | -- | -- | |
Gemini 3 Deep Think | 128k | Google | -- | -- | -- | -- | -- | |
ERNIE 5.0 Thinking Preview | 128k |  Baidu | -- | -- | -- | -- | -- | |
Ling 3.1 Flash | 1M | InclusionAI | -- | -- | 217 | 1.80 | 13.32 | |
Granite 4.0 H 350M | 32.8k | IBM | -- | -- | -- | -- | -- | |
Qwen3.5 0.8B | 262k | Alibaba | -- | -- | -- | -- | -- | |
Apriel-v1.6-15B-Thinker | 128k |  ServiceNow | -- | -- | -- | -- | -- | |
Qwen3.7 Plus | 1M | Alibaba | -- | -- | 57 | 2.37 | 46.15 | |
DeepHermes 3 - Mistral 24B (non-reasoning) | 32k | Nous Research | -- | -- | -- | -- | -- | |
NVIDIA Nemotron Nano 12B v2 VL (non-reasoning) | 128k | NVIDIA | -- | -- | 193 | 1.03 | 3.62 | |
Step3 VL 10B | 65.5k | StepFun | -- | -- | -- | -- | -- | |
Llama 4 Scout | 10M | Meta | -- | -- | 112 | 0.83 | 5.31 | |
ERNIE 4.5 300B A47B | 131k | Baidu | -- | -- | -- | -- | -- | |
Molmo 7B-D | 4.1k | Allen Institute for AI | -- | -- | -- | -- | -- | |
Motif 3 | 262k | Motif Technologies | -- | -- | -- | -- | -- | |
Gemma 4 E2B | 128k | Google | -- | -- | -- | -- | -- | |
Hy3 | 256k |  Tencent | -- | -- | 97 | 2.75 | 28.62 | |
Nova 2.0 Omni (low) | 1M | Amazon | -- | -- | -- | -- | -- | |
Jamba 1.7 Mini | 258k | AI21 Labs | -- | -- | -- | -- | -- | |
Trinity Large Thinking | 512k |  Arcee AI | -- | -- | -- | -- | -- | |
DeepHermes 3 - Llama-3.1 8B (non-reasoning) | 128k | Nous Research | -- | -- | -- | -- | -- | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | -- | -- | 97 | 1.88 | 27.54 | |
Gemini 3.1 Pro Preview | 1M | Google | -- | -- | 143 | 17.67 | 21.16 | |
G9v3-39A5B | 131k | AI9Stars | -- | -- | -- | -- | -- | |
DiffusionGemma 26B A4B | 256k | Google | -- | -- | -- | -- | -- | |
GPT-5.5 Instant (June 2026) | 400k | OpenAI | -- | -- | 154 | 0.88 | 17.10 | |
Falcon-H1R-7B | 256k |  TII UAE | -- | -- | -- | -- | -- | |
Qwen3 Next 80B A3B | 262k | Alibaba | -- | -- | -- | -- | -- | |
gpt-oss-120b (low) | 131k | OpenAI | -- | -- | 258 | 0.74 | 10.43 | |
Gemma 4 31B | 256k | Google | -- | -- | 35 | 1.08 | 64.92 | |
Llama Nemotron Ultra | 128k | NVIDIA | -- | -- | -- | -- | -- | |
Gemma 4 31B (non-reasoning) | 256k | Google | -- | -- | 62 | 1.76 | 9.88 | |
MiniCPM5-1B (non-reasoning) | 128k | OpenBMB | -- | -- | -- | -- | -- | |
Hermes 4 405B (non-reasoning) | 128k | Nous Research | -- | -- | 43 | 2.32 | 13.92 | |
DeepSeek V4 Pro 0813 (non-reasoning) | 1M | DeepSeek | -- | -- | 96 | 1.74 | 6.95 | |
Exaone 4.0 1.2B | 64k | LG AI Research | -- | -- | -- | -- | -- | |
Gemma 4 E4B | 128k | Google | -- | -- | 50 | 0.87 | 50.77 | |
K2-V2 (low) | 512k | Institute of Foundation Models | -- | -- | -- | -- | -- | |
Granite 4.0 H 1B | 128k | IBM | -- | -- | -- | -- | -- | |
Reka Flash 3 | 128k |  Reka AI | -- | -- | 91 | 1.43 | 29.04 | |
Mistral Medium 3.5 | 256k | Mistral | -- | -- | 177 | 2.44 | 16.55 | |
K2-V2 (medium) | 512k | Institute of Foundation Models | -- | -- | -- | -- | -- | |
Mi:dm K 2.5 Pro | 128k |  Korea Telecom | -- | -- | -- | -- | -- | |
LFM2.5-2.6B | 128k | Liquid AI | -- | -- | -- | -- | -- | |
LFM2.5-8B-A1B | 32.8k | Liquid AI | -- | -- | -- | -- | -- | |
GPT-5.5 Pro (xhigh) | 922k | OpenAI | -- | -- | -- | -- | -- | |
Nova Premier | 1M | Amazon | -- | -- | -- | -- | -- | |
Cogito v2.1 | 128k |  Deep Cogito | -- | -- | -- | -- | -- | |
Ring-2.6-1T | 262k | InclusionAI | -- | -- | 125 | 3.95 | 23.89 | |
Phi-4 | 16k | Microsoft | -- | -- | 41 | 2.46 | 14.56 | |
gpt-oss-120b (high) | 131k | OpenAI | -- | -- | 217 | 0.75 | 12.24 | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | -- | -- | 220 | 0.54 | 11.92 | |
Agnes 2.5 Pro Beta | 1M |  Sapiens AI | -- | -- | -- | -- | -- | |
Nova 2.0 Pro Preview (low) | 256k | Amazon | -- | -- | 118 | 9.93 | 31.18 | |
Jamba Reasoning 3B | 262k | AI21 Labs | -- | -- | -- | -- | -- | |
Quasar 438B (max) | 1M | Multiverse Computing | -- | -- | 178 | 1.31 | 15.32 | |
LFM2 24B A2B | 32.8k | Liquid AI | -- | -- | -- | -- | -- | |
Nova 2.0 Lite (medium) | 1M | Amazon | -- | -- | 189 | 17.26 | 30.47 | |
KAT-Coder-Pro V2 | 256k |  KwaiKAT | -- | -- | -- | -- | -- | |
Qwen3 Coder Next | 256k | Alibaba | -- | -- | 80 | 0.91 | 7.19 | |
Gemma 4 12B | 262k | Google | -- | -- | 118 | 2.27 | 23.47 | |
Key definitions
Frequently Asked Questions
Gemini 4 Carbon (High) currently ranks #1 on the Artificial Analysis LLM Leaderboard with an Intelligence Index score of 59, out of 90 models ranked.
The top models by Intelligence Index are: 1. Gemini 4 Carbon (High) (59), 2. Claude Opus 5.5 (Max, Default Fallback) (58), 3. Gemini 4 Carbon (Medium) (58), 4. Claude Opus 5.5 (Xhigh, Default Fallback) (57), 5. GPT-6 Astra (Max) (57).
Celeris-1 is the fastest at 1,689.9 tokens per second, followed by K2 Horizon 375B A23B (720.3 t/s) and Nemotron 3.5 Super VL (479.2 t/s).
K2 Horizon 375B A23B has the lowest cost per Intelligence Index task at $0.00, followed by Command A+ ($0.00) and GPT-6 Luna (Low) ($0.01).
DeepSeek V4.1 Flash 1017 (Max) is the highest-ranked open weights model with an Intelligence Index score of 32. There are 34 open weights models out of 90 total on the leaderboard.
The top open weights models by Intelligence Index are: 1. DeepSeek V4.1 Flash 1017 (Max) (32), 2. GLM-5.3 (Max) (32), 3. MiMo-V2.6-Pro (30).
Gemini 4 Carbon (High) leads among 86 reasoning models with an Intelligence Index score of 59. Reasoning models use extended thinking to solve complex problems before responding.
The leaderboard includes filters to narrow results by model type (reasoning vs non-reasoning), openness (open weights vs proprietary), and other criteria. You can also adjust prompt options to see how performance varies with different input lengths.
Click on any model name in the leaderboard to visit its dedicated comparison page with detailed charts covering intelligence, pricing, speed, latency, and more. You can also compare API providers for each model. View all models