LLMリーダーボード - OpenAI、Anthropic、Google、SpaceXAIなどのAIモデルを比較
250以上のAIモデル（LLM）を、知能、料金、性能、速度（出力速度 - 1秒あたりのトークン数、遅延 - TTFT）、コンテキストウィンドウなどの主要指標で比較し、順位付けします。
方法論などの詳細は、よくある質問をご覧ください。
知能
知能が最も高いモデルはClaude Opus 5.5 (max with fallback)とClaude Sonnet 5.5 (max with fallback)で、Claude Opus 5.5 (xhigh with fallback)とMuse Wonder Full (max)が続きます。
出力速度
最速のモデルはCeleris-1とMercury 2.5で、Gemini 3.5 Flash-LiteとTrinity Large Thinkingが続きます。
遅延
遅延が最も短いモデルはNorth Mini CodeとNemotron 3 Nano Omni 30B A3Bで、Command A+とNVIDIA Nemotron Nano 9B V2が続きます。
タスクあたりの費用
タスクあたりの費用が最も低いモデルはK2 Horizon 375B A23BとGemma 4 31Bで、Command A+とLing 3.0 Tinyが続きます。
コンテキストウィンドウ
最大のコンテキストウィンドウに対応するモデルはLlama 4 ScoutとGPT-6 Sol (Daybreak Blue, max)で、Muse Wonder (max)とKimi K3 (max)が続きます。
詳細分析 | ||||||||
|---|---|---|---|---|---|---|---|---|
Claude Opus 5.5 (max with fallback) | 1M | Anthropic | 58 | $5.98 | 96 | 716.75 | 721.98 | |
Claude Sonnet 5.5 (max with fallback) | 1M | Anthropic | 56 | $5.46 | 135 | 453.43 | 457.12 | |
Claude Opus 5.5 (xhigh with fallback) | 1M | Anthropic | 56 | $3.46 | 81 | 159.41 | 165.54 | |
Muse Wonder Full (max) | 1M | Meta | 56 | -- | -- | -- | -- | |
Claude Opus 5.5 (high with fallback) | 1M | Anthropic | 54 | $1.82 | 82 | 52.59 | 58.67 | |
Claude Fable 5.1 (max with fallback) | 1M | Anthropic | 53 | $7.63 | 67 | 246.61 | 254.06 | |
Claude Fable 5.1 (xhigh with fallback) | 1M | Anthropic | 53 | $5.98 | 62 | 113.74 | 121.85 | |
GPT-6 Astra (max) | 1M | OpenAI | 53 | $3.26 | 66 | 359.94 | 367.53 | |
Gemini 4 Argon (high) | 1M | Google | 53 | $1.99 | -- | -- | -- | |
Muse Wonder (max) | 1.05M | Meta | 52 | $4.52 | 88 | 19.27 | 47.72 | |
GPT-6 Astra (xhigh) | 1M | OpenAI | 52 | $2.31 | 60 | 169.96 | 178.35 | |
Claude Sonnet 5.5 (xhigh with fallback) | 1M | Anthropic | 52 | $2.01 | 103 | 37.67 | 42.51 | |
GPT-6.1 Sol (max) | 1M | OpenAI | 52 | $0.72 | 65 | 330.58 | 338.25 | |
Claude Opus 5.5 (medium with fallback) | 1M | Anthropic | 51 | $1.34 | 79 | 25.47 | 31.82 | |
Claude Fable 5.1 (high with fallback) | 1M | Anthropic | 51 | $3.91 | 52 | 17.98 | 27.56 | |
GPT-6.1 Sol (xhigh) | 1M | OpenAI | 51 | $0.39 | 59 | 177.62 | 186.14 | |
GPT-6 Astra (high) | 1M | OpenAI | 51 | $1.73 | 55 | 111.28 | 120.38 | |
GPT-6.1 Sol (high) | 1M | OpenAI | 50 | $0.32 | 57 | 59.66 | 68.44 | |
GPT-6 Astra (medium) | 1M | OpenAI | 50 | $1.54 | 55 | 6.27 | 15.42 | |
Claude Fable 5.1 (medium with fallback) | 1M | Anthropic | 49 | $2.98 | 54 | 12.09 | 21.32 | |
Muse Spark 1.3 (max) | 1M | Meta | 48 | $1.60 | 124 | 40.76 | 60.93 | |
GPT-6.1 Sol (medium) | 1M | OpenAI | 48 | $0.21 | 55 | 7.64 | 16.70 | |
Claude Fable 5.1 (low with fallback) | 1M | Anthropic | 47 | $2.37 | 56 | 2.04 | 11.02 | |
Claude Sonnet 5.5 (high with fallback) | 1M | Anthropic | 47 | $0.88 | 96 | 13.91 | 19.12 | |
Grok 4.7 (xhigh) | 500k |  SpaceXAI | 46 | $3.74 | 84 | 88.77 | 94.74 | |
Grok 4.7 (high) | 500k | SpaceXAI | 46 | $2.73 | 74 | 46.44 | 53.22 | |
MiMo-V2.6-Pro | 1M |  Xiaomi | 46 | $0.13 | 48 | 3.74 | 55.92 | |
GPT-6 Astra (low) | 1M | OpenAI | 46 | $0.82 | 54 | 2.47 | 11.77 | |
Qwen3.8 Max (0902) | 984k |  Alibaba | 45 | $5.41 | 41 | 2.89 | 64.54 | |
Muse Spark 1.3 (xhigh) | 1M | Meta | 45 | $1.37 | 245 | 21.50 | 31.72 | |
GLM-5.3 (max) | 1M |  Z AI | 45 | $2.01 | 66 | 3.49 | 41.62 | |
Step 5 Preview | 1M |  StepFun | 44 | $1.03 | 89 | 2.93 | 30.95 | |
Kimi K3 (max) | 1.05M | Kimi | 44 | $2.00 | 42 | 3.18 | 62.53 | |
Claude Haiku 5.5 (max) | 1M | Anthropic | 43 | $0.21 | 236 | 309.80 | 311.92 | |
Claude Opus 5.5 (low with fallback) | 1M | Anthropic | 42 | $0.55 | 80 | 12.35 | 18.60 | |
Grok 4.7 (low) | 500k | SpaceXAI | 42 | $1.25 | 65 | 6.97 | 14.68 | |
GPT-6.1 Sol (low) | 1M | OpenAI | 42 | $0.13 | 52 | 2.40 | 11.98 | |
GPT-5.6 Terra (max) | 1M | OpenAI | 42 | $1.40 | 126 | 129.41 | 133.39 | |
GLM-5.3-Flash | 1M | Z AI | 42 | $0.28 | 62 | 2.89 | 43.24 | |
Claude Haiku 5.5 (xhigh) | 1M | Anthropic | 41 | $0.12 | 187 | 79.11 | 81.78 | |
Ling 3.1 Flash | 1M | InclusionAI | 41 | $1.00 | 212 | 1.87 | 13.67 | |
Gemini 3.8 Flash (high) | 1M | Google | 41 | $1.24 | 137 | 21.42 | 25.08 | |
Claude Sonnet 5.5 (medium with fallback) | 1M | Anthropic | 41 | $0.48 | 95 | 0.87 | 6.14 | |
Qwen3.8 2.4T A95B | 262k | Alibaba | 40 | $2.16 | 39 | 3.10 | 66.63 | |
Qwen3.8-Flash-Next | 256k | Alibaba | 40 | $0.37 | 51 | 2.02 | 51.41 | |
Gemini 3.8 Flash (medium) | 1M | Google | 40 | $0.93 | -- | -- | -- | |
DeepSeek V4.1 Flash (max) | 1M |  DeepSeek | 39 | $0.27 | 199 | 1.02 | 13.57 | |
Mistral Large 4 Preview | 524k |  Mistral | 38 | $1.13 | -- | -- | -- | |
GPT-6 Luna (max) | 1M | OpenAI | 38 | $0.07 | 134 | 120.25 | 123.97 | |
GPT-5.6 Terra (xhigh) | 1M | OpenAI | 38 | $0.63 | 110 | 43.03 | 47.56 | |
MiMo-V2.6-Flash | 1M | Xiaomi | 38 | $0.06 | 49 | 3.21 | 54.01 | |
Claude Haiku 5.5 (high) | 1M | Anthropic | 38 | $0.08 | 175 | 24.59 | 27.45 | |
DeepSeek V4 Pro 0813 (max) | 1M | DeepSeek | 36 | $0.67 | 92 | 1.64 | 28.90 | |
Claude Sonnet 5.5 (low with fallback) | 1M | Anthropic | 36 | $0.35 | 100 | 0.57 | 5.56 | |
DeepSeek V4 Flash Vision (max) | 1M | DeepSeek | 35 | $0.31 | 189 | 1.03 | 14.26 | |
GPT-6 Luna (xhigh) | 1M | OpenAI | 35 | $0.04 | 126 | 41.65 | 45.61 | |
Claude Haiku 5.5 (medium) | 1M | Anthropic | 34 | $0.05 | 171 | 12.73 | 15.65 | |
GLM-5.3 (low) | 1M | Z AI | 34 | $0.85 | 73 | 2.99 | 37.38 | |
GPT-5.6 Terra (high) | 1M | OpenAI | 34 | $0.34 | 102 | 7.36 | 12.27 | |
JT-4.1 Flash 236B A21B | 262k |  China Mobile | 34 | -- | -- | -- | -- | |
Qwen3.8 27B (xhigh) | 256k | Alibaba | 34 | $1.01 | 46 | 3.79 | 58.28 | |
Motif 3 | 262k |  Motif Technologies | 34* | -- | -- | -- | -- | |
Gemini 3.8 Flash (low) | 1M | Google | 33 | -- | -- | -- | -- | |
GPT-6 Luna (high) | 1M | OpenAI | 33 | $0.03 | 134 | 19.68 | 23.42 | |
GPT-5.3 Codex (xhigh) | 400k | OpenAI | 33* | -- | 113 | 70.37 | 74.79 | |
K2 Horizon 375B A23B | 524k | Institute of Foundation Models | 31 | $0.00 | 119 | 3.98 | 25.05 | |
GPT-5.6 Terra (medium) | 1M | OpenAI | 30 | $0.18 | 103 | 1.75 | 6.63 | |
Kimi K3 (low) | 1.05M | Kimi | 30 | $1.15 | 45 | 3.24 | 58.97 | |
GPT-6 Luna (medium) | 1M | OpenAI | 30 | $0.02 | -- | -- | -- | |
Gemini 3.1 Pro Preview | 1M | Google | 30 | $1.30 | 134 | 20.91 | 24.64 | |
Claude Haiku 5.5 (low) | 1M | Anthropic | 29 | $0.02 | 164 | 8.80 | 11.85 | |
MiniMax-M3 | 1M |  MiniMax | 29 | $0.51 | 107 | 0.89 | 24.21 | |
Nex-N2-Pro | 262k |  Nex AGI | 28* | -- | -- | -- | -- | |
Solar Pro 4 | 512k |  Upstage | 28* | -- | 95 | 2.08 | 28.29 | |
Qwen3.8 27B (medium) | 256k | Alibaba | 28 | $1.13 | 50 | 3.92 | 54.31 | |
GPT-5.6 Terra (low) | 1M | OpenAI | 27 | $0.14 | 100 | 1.48 | 6.48 | |
JT-4.1 Flash 236B A21B (non-reasoning) | 262k | China Mobile | 27* | -- | -- | -- | -- | |
Quasar 438B (max) | 1M |  Multiverse Computing | 27 | $2.02 | 164 | 1.26 | 16.48 | |
Apodex 1.1 | 256k |  Apodex | 26 | $0.46 | -- | -- | -- | |
Qwen3.8 27B (low) | 256k | Alibaba | 26 | $1.05 | 53 | 3.78 | 51.22 | |
GPT-5.5 Instant (June 2026) | 400k | OpenAI | 26 | $0.69 | 152 | 0.90 | 17.36 | |
Kimi K2.7 Code | 256k | Kimi | 26 | $0.54 | 75 | 2.80 | 39.28 | |
Inkling Small | 1M |  Thinking Machines | 26 | $0.09 | 200 | 2.20 | 14.70 | |
K2 Horizon MoVA 36B A4B | 524k | Institute of Foundation Models | 25 | -- | -- | -- | -- | |
Hy3 | 256k |  Tencent | 25 | $0.07 | 84 | 2.96 | 32.72 | |
Qwen3.7 Plus | 1M | Alibaba | 25 | $0.22 | 55 | 2.21 | 47.51 | |
Inkling (xhigh) | 1M | Thinking Machines | 25 | -- | 186 | 1.81 | 15.28 | |
Solar Open2 250B | 1.05M | Upstage | 25* | -- | -- | -- | -- | |
DeepSeek V4.1 Flash (non-reasoning) | 1M | DeepSeek | 25 | $0.15 | 193 | 1.12 | 3.70 | |
Ling-3.0-flash-VL | 262k | InclusionAI | 25 | -- | -- | -- | -- | |
Solar Mini 4 | 1.05M | Upstage | 24 | $0.37 | 78 | 1.82 | 33.76 | |
Nemotron 3 Ultra | 262k | NVIDIA | 23 | $0.60 | 159 | 1.09 | 18.53 | |
Ling-3.0-flash-Fin | 262k | InclusionAI | 23 | -- | 317 | 1.68 | 9.56 | |
Gemini 3.5 Flash-Lite | 1M | Google | 22 | $0.19 | 408 | 7.36 | 8.58 | |
G9v3-39A5B | 131k |  AI9Stars | 22* | -- | -- | -- | -- | |
KAT-Coder-Pro V2 | 256k |  KwaiKAT | 22* | -- | -- | -- | -- | |
GPT-6 Luna (low) | 1M | OpenAI | 22 | $0.0045 | 126 | 2.55 | 6.52 | |
A.X-K2 | 262k |  SK Telecom | 21 | -- | -- | -- | -- | |
Qwen3.5 397B A17B (non-reasoning) | 262k | Alibaba | 21* | -- | 84 | 2.29 | 8.25 | |
GPT-5.6 Terra (non-reasoning) | 1M | OpenAI | 21 | $0.14 | 100 | 0.69 | 5.67 | |
K2 Horizon 7B | 524k | Institute of Foundation Models | 21 | -- | -- | -- | -- | |
Qwen3.5 Omni Plus | 256k | Alibaba | 20* | -- | 88 | 2.08 | 7.73 | |
DeepSeek V4 Pro 0813 (non-reasoning) | 1M | DeepSeek | 20 | $0.36 | 92 | 1.64 | 7.05 | |
o3 | 200k | OpenAI | 20* | -- | 129 | 6.63 | 10.51 | |
Qwen3.8 27B (non-reasoning) | 256k | Alibaba | 20 | $2.49 | 52 | 3.91 | 13.60 | |
K-EXAONE 2.0 | 262k |  LG AI Research | 20* | -- | -- | -- | -- | |
LongCat 2.0 | 1M |  LongCat | 19 | $0.15 | 65 | 2.68 | 40.92 | |
JT-35B-Flash | 256k | China Mobile | 19* | -- | -- | -- | -- | |
GPT-6 Luna (non-reasoning) | 1M | OpenAI | 18 | $0.01 | 114 | 0.83 | 5.22 | |
Qwen3.5 397B A17B | 262k | Alibaba | 18 | $0.47 | 87 | 2.31 | 44.69 | |
Qwen3.6 35B A3B | 262k | Alibaba | 18 | $0.48 | 129 | 2.05 | 47.62 | |
Qwen3.5 122B A10B (non-reasoning) | 262k | Alibaba | 18* | -- | 143 | 2.30 | 5.80 | |
Muse Glimmer (high) | 131k | Meta | 17 | $0.06 | 134 | 0.99 | 19.68 | |
Doubao Seed Code | 256k |  ByteDance Seed | 17* | -- | -- | -- | -- | |
Gemma 4 26B A4B | 256k | Google | 17* | -- | 75 | 0.97 | 34.49 | |
Ring-2.6-1T | 262k | InclusionAI | 17 | $0.29 | 119 | 3.68 | 24.61 | |
K2 Horizon 3.7B | 524k | Institute of Foundation Models | 16 | -- | -- | -- | -- | |
Qwen3.5 122B A10B | 262k | Alibaba | 16 | $0.32 | 128 | 2.35 | 21.85 | |
Qwen3.6 35B A3B (non-reasoning) | 262k | Alibaba | 15* | -- | 137 | 2.01 | 5.65 | |
Gemma 4 31B | 256k | Google | 15 | $0.00 | 35 | 1.08 | 64.72 | |
ERNIE 5.0 Thinking Preview | 128k |  Baidu | 14* | -- | -- | -- | -- | |
Mistral Medium 3.5 | 256k | Mistral | 14 | $0.50 | 163 | 2.17 | 17.48 | |
Gemma 4 12B | 262k | Google | 14* | -- | 111 | 2.51 | 25.06 | |
Nova 2.0 Pro Preview (medium) | 256k |  Amazon | 14* | -- | 122 | 13.15 | 33.57 | |
Gemma 4 31B (non-reasoning) | 256k | Google | 14* | -- | 46 | 1.96 | 12.83 | |
Nova 2.0 Omni (medium) | 1M | Amazon | 14* | -- | -- | -- | -- | |
Apriel-v1.6-15B-Thinker | 128k |  ServiceNow | 13* | -- | -- | -- | -- | |
Nova 2.0 Lite (high) | 1M | Amazon | 13* | -- | 188 | 19.63 | 32.96 | |
Qwen3.5 9B (non-reasoning) | 262k | Alibaba | 13* | -- | 98 | 0.72 | 5.84 | |
EXAONE 4.5 33B | 262k | LG AI Research | 13* | -- | -- | -- | -- | |
Command A+ | 192k | Cohere | 13 | $0.00 | 175 | 0.50 | 14.81 | |
Gemma 4 26B A4B (non-reasoning) | 256k | Google | 13* | -- | 98 | 0.99 | 6.10 | |
Qwen3.5 4B | 262k | Alibaba | 13* | -- | 23 | 0.81 | 107.53 | |
Nemotron 3.5 Lightning | 1M | NVIDIA | 13 | $0.09 | 302 | 0.62 | 8.90 | |
Nemotron 3 Super | 1M | NVIDIA | 13 | $1.64 | 152 | 1.30 | 17.72 | |
Nova 2.0 Pro Preview (low) | 256k | Amazon | 13* | -- | 120 | 9.70 | 30.53 | |
Granite 4.2 30B | 131k |  IBM | 13 | $0.07 | 77 | 0.89 | 33.47 | |
Nova 2.0 Lite (medium) | 1M | Amazon | 12* | -- | 188 | 18.07 | 31.34 | |
Qwen3.5 Omni Flash | 256k | Alibaba | 12* | -- | 226 | 1.79 | 3.99 | |
MiniCPM5-2B | 131k |  OpenBMB | 12 | -- | -- | -- | -- | |
Mercury 2.5 | 260k | Inception | 12 | $0.12 | 689 | 3.38 | 4.11 | |
JT-MINI | 128k | China Mobile | 12* | -- | -- | -- | -- | |
Magistral Medium 1.2 | 128k | Mistral | 12* | -- | -- | -- | -- | |
Nova 2.0 Lite (low) | 1M | Amazon | 12* | -- | 178 | 10.37 | 24.37 | |
HyperNova 60B 2605 (high) | 131k | Multiverse Computing | 12* | -- | -- | -- | -- | |
Nemotron Cascade 2 30B A3B | 1M | NVIDIA | 12* | -- | -- | -- | -- | |
gpt-oss-120b (high) | 131k | OpenAI | 12 | $0.11 | 242 | 0.82 | 11.16 | |
K2 Think V2 | 262k | Institute of Foundation Models | 11* | -- | -- | -- | -- | |
LongCat Flash Lite | 256k | LongCat | 11* | -- | -- | -- | -- | |
HyperCLOVA X SEED Think (32B) | 128k |  Naver | 11* | -- | -- | -- | -- | |
Mistral Small 4 | 256k | Mistral | 11 | $0.02 | 158 | 0.79 | 16.63 | |
Qwen3 Next 80B A3B | 262k | Alibaba | 11* | -- | 159 | 0.70 | 16.42 | |
Qwen3.5 9B | 262k | Alibaba | 11 | $0.21 | 58 | 1.73 | 44.64 | |
Nova 2.0 Omni (low) | 1M | Amazon | 11* | -- | -- | -- | -- | |
Granite 4.2 8B | 131k | IBM | 11 | $0.02 | 59 | 0.75 | 43.17 | |
Ling 3.0 Tiny | 262k | InclusionAI | 11 | $0.00 | 18 | 5.92 | 144.12 | |
Mi:dm K 2.5 Pro | 128k |  Korea Telecom | 11* | -- | -- | -- | -- | |
G9v3-3B | 131k | AI9Stars | 11* | -- | -- | -- | -- | |
Trinity Large Thinking | 512k | Arcee AI | 11 | $0.12 | 346 | 1.01 | 8.24 | |
Qwen3.5 4B (non-reasoning) | 262k | Alibaba | 11* | -- | 22 | 0.77 | 23.82 | |
INTELLECT-3 | 131k |  Prime Intellect | 11* | -- | -- | -- | -- | |
Solar Open 100B | 128k | Upstage | 10* | -- | -- | -- | -- | |
Nemotron 3 Nano Omni 30B A3B | 256k | NVIDIA | 10* | -- | 243 | 0.42 | 10.71 | |
gpt-oss-120b (low) | 131k | OpenAI | 10* | -- | 244 | 0.82 | 11.08 | |
Llama 4 Maverick | 1M | Meta | 10* | -- | 45 | 1.09 | 12.08 | |
Nova 2.0 Pro Preview (non-reasoning) | 256k | Amazon | 10* | -- | 111 | 1.04 | 5.53 | |
gpt-oss-20b (low) | 131k | OpenAI | 10* | -- | 296 | 0.76 | 9.21 | |
North Mini Code | 256k | Cohere | 10 | $0.00 | 119 | 0.40 | 21.45 | |
K2-V2 (high) | 512k | Institute of Foundation Models | 10* | -- | -- | -- | -- | |
Qwen3 Next 80B A3B | 262k | Alibaba | 10* | -- | 161 | 0.83 | 3.93 | |
DiffusionGemma 26B A4B | 256k | Google | 10* | -- | -- | -- | -- | |
Gemma 4 12B (non-reasoning) | 262k | Google | 9* | -- | 114 | 2.52 | 6.92 | |
Qwen3 Coder Next | 256k | Alibaba | 9 | $0.78 | 73 | 1.07 | 7.95 | |
Motif-2-12.7B | 128k | Motif Technologies | 9* | -- | -- | -- | -- | |
Nova Premier | 1M | Amazon | 9* | -- | -- | -- | -- | |
Granite 4.2 3B | 131k | IBM | 9 | $0.01 | 214 | 0.66 | 12.36 | |
K2-V2 (medium) | 512k | Institute of Foundation Models | 9* | -- | -- | -- | -- | |
Mistral Small 4 (non-reasoning) | 256k | Mistral | 9* | -- | 153 | 0.88 | 4.15 | |
Tri-21B-Think | 32k |  Trillion Labs | 9* | -- | -- | -- | -- | |
gpt-oss-20b (high) | 131k | OpenAI | 9 | $0.01 | 223 | 0.74 | 11.93 | |
Gemma 4 E4B | 128k | Google | 9* | -- | 35 | 0.95 | 72.55 | |
Nemotron 3 Nano | 1M | NVIDIA | 9 | $0.02 | 228 | 0.97 | 11.94 | |
MiniCPM5-1B | 128k | OpenBMB | 9* | -- | -- | -- | -- | |
Sarvam 105B (high) | 128k |  Sarvam | 9* | -- | -- | -- | -- | |
Nova 2.0 Lite (non-reasoning) | 1M | Amazon | 9* | -- | 174 | 1.06 | 3.93 | |
MiniCPM5-1B (non-reasoning) | 128k | OpenBMB | 9* | -- | -- | -- | -- | |
Magistral Small 1.2 | 128k | Mistral | 9* | -- | 75 | 1.59 | 34.77 | |
Nanbeige4.1-3B | 256k |  Nanbeige | 8* | -- | -- | -- | -- | |
LFM2.5-2.6B | 128k |  Liquid AI | 8* | -- | -- | -- | -- | |
EXAONE 4.0 32B | 131k | LG AI Research | 8* | -- | -- | -- | -- | |
Nova 2.0 Omni (non-reasoning) | 1M | Amazon | 8* | -- | -- | -- | -- | |
Llama 4 Scout | 10M | Meta | 8* | -- | 67 | 0.88 | 8.32 | |
Hermes 4 70B | 128k |  Nous Research | 8* | -- | -- | -- | -- | |
Falcon-H1R-7B | 256k |  TII UAE | 8* | -- | -- | -- | -- | |
Gemma 4 E2B | 128k | Google | 8* | -- | -- | -- | -- | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | 8* | -- | 103 | 1.93 | 26.30 | |
Step3 VL 10B | 65.5k | StepFun | 8* | -- | -- | -- | -- | |
Llama 3.3 70B | 128k | Meta | 8* | -- | 92 | 1.70 | 7.13 | |
Llama Nemotron Ultra | 128k | NVIDIA | 8* | -- | -- | -- | -- | |
ERNIE 4.5 300B A47B | 131k | Baidu | 8* | -- | -- | -- | -- | |
Hermes 4 405B | 128k | Nous Research | 7* | -- | 41 | 2.35 | 63.79 | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | 7* | -- | -- | -- | -- | |
Gemma 4 E4B (non-reasoning) | 128k | Google | 7* | -- | 31 | 0.98 | 16.97 | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | 7* | -- | 202 | 0.53 | 12.90 | |
Hermes 4 405B (non-reasoning) | 128k | Nous Research | 7* | -- | 38 | 2.34 | 15.40 | |
K2-V2 (low) | 512k | Institute of Foundation Models | 7* | -- | -- | -- | -- | |
Kimi Linear 48B A3B Instruct | 1M | Kimi | 7* | -- | -- | -- | -- | |
Llama 3.1 405B | 128k | Meta | 7* | -- | -- | -- | -- | |
LFM2.5-8B-A1B | 32.8k | Liquid AI | 7* | -- | -- | -- | -- | |
Ring-flash-2.0 | 128k | InclusionAI | 7* | -- | -- | -- | -- | |
Olmo 3.1 32B Think | 65.5k |  Allen Institute for AI | 7* | -- | -- | -- | -- | |
Command A | 256k | Cohere | 7* | -- | 60 | 1.81 | 10.11 | |
Qwen3.5 2B | 262k | Alibaba | 7* | -- | -- | -- | -- | |
Nemotron 3 Nano (non-reasoning) | 1M | NVIDIA | 7* | -- | 248 | 0.56 | 2.58 | |
NVIDIA Nemotron Nano 9B V2 (non-reasoning) | 131k | NVIDIA | 7* | -- | 167 | 1.08 | 4.06 | |
Hermes 4 70B (non-reasoning) | 128k | Nous Research | 7* | -- | -- | -- | -- | |
Sarvam 30B (high) | 65.5k | Sarvam | 7* | -- | -- | -- | -- | |
Olmo 3.1 32B Instruct | 65.5k | Allen Institute for AI | 6* | -- | -- | -- | -- | |
Gemma 4 E2B (non-reasoning) | 128k | Google | 6* | -- | -- | -- | -- | |
R1 1776 | 128k |  Perplexity | 6* | -- | -- | -- | -- | |
Llama 3.2 90B (Vision) | 128k | Meta | 6* | -- | -- | -- | -- | |
Celeris-1 | 131k | Celeris | 6 | $0.05 | 1,522 | 0.58 | 0.91 | |
Phi-4 Mini | 128k |  Microsoft | 6* | -- | 46 | 0.82 | 11.67 | |
EXAONE 4.0 32B (non-reasoning) | 131k | LG AI Research | 6* | -- | -- | -- | -- | |
Qwen3.5 2B (non-reasoning) | 262k | Alibaba | 6* | -- | -- | -- | -- | |
Qwen3.5 0.8B | 262k | Alibaba | 6* | -- | -- | -- | -- | |
DeepHermes 3 - Mistral 24B (non-reasoning) | 32k | Nous Research | 6* | -- | -- | -- | -- | |
Jamba 1.7 Large | 256k |  AI21 Labs | 6* | -- | -- | -- | -- | |
Granite 4.0 H Small | 128k | IBM | 6* | -- | 14 | 35.61 | 70.72 | |
Ministral 3 14B | 256k | Mistral | 6 | $0.02 | 57 | 1.09 | 9.84 | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | 6* | -- | 96 | 1.86 | 7.09 | |
LFM2 24B A2B | 32.8k | Liquid AI | 6* | -- | -- | -- | -- | |
Phi-4 | 16k | Microsoft | 6* | -- | 42 | 2.45 | 14.41 | |
Nova Micro | 130k | Amazon | 6* | -- | 282 | 0.87 | 2.64 | |
NVIDIA Nemotron Nano 12B v2 VL (non-reasoning) | 128k | NVIDIA | 6* | -- | 207 | 1.15 | 3.57 | |
Phi-4 Multimodal | 128k | Microsoft | 6* | -- | -- | -- | -- | |
MiniCPM-V 4.6 1.3B | 262k | OpenBMB | 6* | -- | -- | -- | -- | |
Jamba Reasoning 3B | 262k | AI21 Labs | 6* | -- | -- | -- | -- | |
Reka Flash 3 | 128k |  Reka AI | 6* | -- | 93 | 1.40 | 28.31 | |
Olmo 3 7B Think | 65.5k | Allen Institute for AI | 6* | -- | -- | -- | -- | |
Molmo 7B-D | 4.1k | Allen Institute for AI | 6* | -- | -- | -- | -- | |
Ministral 3 8B | 256k | Mistral | 5 | $0.01 | 107 | 0.73 | 5.42 | |
Llama 3.2 11B (Vision) | 128k | Meta | 5* | -- | 22 | 1.73 | 24.76 | |
Qwen3.5 0.8B (non-reasoning) | 262k | Alibaba | 5* | -- | -- | -- | -- | |
Exaone 4.0 1.2B | 64k | LG AI Research | 5* | -- | -- | -- | -- | |
Olmo 3 7B | 65.5k | Allen Institute for AI | 5* | -- | -- | -- | -- | |
Exaone 4.0 1.2B (non-reasoning) | 64k | LG AI Research | 5* | -- | -- | -- | -- | |
LFM2.5-1.2B-Thinking | 32k | Liquid AI | 5* | -- | -- | -- | -- | |
Jamba 1.7 Mini | 258k | AI21 Labs | 5* | -- | -- | -- | -- | |
LFM2.5-1.2B-Instruct | 32k | Liquid AI | 5* | -- | -- | -- | -- | |
Granite 4.0 H 1B | 128k | IBM | 5* | -- | -- | -- | -- | |
Gemma 3 270M | 32k | Google | 5* | -- | -- | -- | -- | |
Apertus 70B Instruct | 65.5k |  Swiss AI Initiative | 5* | -- | -- | -- | -- | |
Granite 4.0 Micro | 128k | IBM | 5* | -- | -- | -- | -- | |
DeepHermes 3 - Llama-3.1 8B (non-reasoning) | 128k | Nous Research | 5* | -- | -- | -- | -- | |
Molmo2-8B | 36.9k | Allen Institute for AI | 5* | -- | -- | -- | -- | |
Ministral 3 3B | 256k | Mistral | 5 | $0.01 | 215 | 0.62 | 2.95 | |
LFM2.5-VL-1.6B | 32k | Liquid AI | 5* | -- | -- | -- | -- | |
Granite 4.0 350M | 32.8k | IBM | 5* | -- | -- | -- | -- | |
Tiny Aya Global | 8.19k | Cohere | 5* | -- | -- | -- | -- | |
Apertus 8B Instruct | 65.5k | Swiss AI Initiative | 5* | -- | -- | -- | -- | |
Granite 4.0 H 350M | 32.8k | IBM | 5* | -- | -- | -- | -- | |
Nemotron 3 Nano 4B | 262k | NVIDIA | 5 | -- | -- | -- | -- | |
K2 Horizon 0.9B | 131k | Institute of Foundation Models | 3 | -- | -- | -- | -- | |
EXAONE 4.5 33B (non-reasoning) | 262k | LG AI Research | -- | -- | -- | -- | -- | |
GPT-6 Sol (Daybreak Blue, max) | 1.05M | OpenAI | -- | -- | -- | -- | -- | |
Gemini 3 Deep Think | 128k | Google | -- | -- | -- | -- | -- | |
GPT-5.5 Pro (xhigh) | 922k | OpenAI | -- | -- | -- | -- | -- | |
Cogito v2.1 | 128k |  Deep Cogito | -- | -- | -- | -- | -- | |
主要な定義
よくある質問
現在、Claude Opus 5.5 (Max, Default Fallback)がIntelligence Indexスコア58でArtificial Analysis LLM Leaderboardの1位です。順位付けの対象は127モデルです。
Intelligence Indexで上位のモデルは1位：Claude Opus 5.5 (Max, Default Fallback)（58）, 2位：Claude Sonnet 5.5 (Max, Default Fallback)（56）, 3位：Claude Opus 5.5 (Xhigh, Default Fallback)（56）, 4位：Muse Wonder Full (Max)（56）, 5位：Claude Opus 5.5 (High, Default Fallback)（54）です。
Celeris-1が毎秒1,522.5トークンで最速で、Mercury 2.5（688.9 t/s）、Gemini 3.5 Flash-Lite（407.6 t/s）が続きます。
K2 Horizon 375B A23BがIntelligence Indexのタスクあたり$0.00で最も低く、Gemma 4 31B (Reasoning)（$0.00）、Command A+（$0.00）が続きます。
MiMo-V2.6-ProがIntelligence Indexスコア46で、オープンウェイトモデルの最上位です。リーダーボードの全127モデル中、オープンウェイトモデルは59モデルです。
Intelligence Indexで上位のオープンウェイトモデルは1位：MiMo-V2.6-Pro（46）, 2位：GLM-5.3 (Max)（45）, 3位：Kimi K3 (Max)（44）です。
Claude Opus 5.5 (Max, Default Fallback)がIntelligence Indexスコア58で、117推論モデルの首位です。推論モデルは回答前に拡張思考を行い、複雑な問題を解きます。
モデルの種類（推論／非推論）、オープン性（オープンウェイト／独自）、その他の条件で結果を絞り込めます。プロンプトオプションを調整し、入力長による性能の違いを確認することもできます。
リーダーボードのモデル名をクリックすると、知能、料金、速度、遅延などの詳細グラフを掲載した専用比較ページを表示できます。モデルごとにAPIプロバイダーを比較することもできます。 すべてのモデルを表示