LLM 리더보드 - OpenAI, Anthropic, Google, SpaceXAI 등의 AI 모델 비교
250개가 넘는 AI 모델(LLM)의 지능, 가격, 성능, 속도(출력 속도인 초당 토큰 수 및 지연 시간인 TTFT), 컨텍스트 창 등 주요 지표를 비교하고 순위를 매깁니다.
방법론을 비롯한 자세한 내용은 FAQ에서 확인하세요.
지능
지능이 가장 높은 모델은 Claude Opus 5.5 (max with fallback)과 Claude Sonnet 5.5 (max with fallback)이며, Claude Opus 5.5 (xhigh with fallback)과 Muse Wonder Full (max)이 뒤를 잇습니다.
출력 속도
가장 빠른 모델은 Celeris-1과 Mercury 2.5이며, Gemini 3.5 Flash-Lite과 Trinity Large Thinking이 뒤를 잇습니다.
지연 시간
지연 시간이 가장 짧은 모델은 North Mini Code과 Nemotron 3 Nano Omni 30B A3B이며, Command A+과 Nemotron 3 Nano (non-reasoning)이 뒤를 잇습니다.
작업당 비용
작업당 비용이 가장 낮은 모델은 K2 Horizon 375B A23B과 Gemma 4 31B이며, Command A+과 Ling 3.0 Tiny이 뒤를 잇습니다.
컨텍스트 창
가장 큰 컨텍스트 창을 지원하는 모델은 Llama 4 Scout과 GPT-6 Sol (Daybreak Blue, max)이며, Muse Wonder (max)과 Kimi K3 (max)이 뒤를 잇습니다.
추가 분석 | ||||||||
|---|---|---|---|---|---|---|---|---|
Claude Opus 5.5 (max with fallback) | 1M | Anthropic | 58 | $5.98 | 95 | 650.11 | 655.38 | |
Claude Sonnet 5.5 (max with fallback) | 1M | Anthropic | 56 | $5.46 | 137 | 435.21 | 438.87 | |
Claude Opus 5.5 (xhigh with fallback) | 1M | Anthropic | 56 | $3.46 | 82 | 144.79 | 150.85 | |
Muse Wonder Full (max) | 1M | Meta | 56 | -- | -- | -- | -- | |
Claude Opus 5.5 (high with fallback) | 1M | Anthropic | 54 | $1.82 | 83 | 60.69 | 66.73 | |
Claude Fable 5.1 (max with fallback) | 1M | Anthropic | 53 | $7.63 | 71 | 249.68 | 256.72 | |
Claude Fable 5.1 (xhigh with fallback) | 1M | Anthropic | 53 | $5.98 | 63 | 122.30 | 130.23 | |
GPT-6 Astra (max) | 1M | OpenAI | 53 | $3.26 | 61 | 284.19 | 292.34 | |
Gemini 4 Argon (high) | 1M | Google | 53 | $1.99 | -- | -- | -- | |
Muse Wonder (max) | 1.05M | Meta | 52 | $4.52 | 115 | 39.24 | 60.98 | |
GPT-6 Astra (xhigh) | 1M | OpenAI | 52 | $2.31 | 57 | 175.16 | 184.00 | |
Claude Sonnet 5.5 (xhigh with fallback) | 1M | Anthropic | 52 | $2.01 | 103 | 36.88 | 41.72 | |
GPT-6.1 Sol (max) | 1M | OpenAI | 52 | $0.72 | 59 | 278.78 | 287.21 | |
Claude Opus 5.5 (medium with fallback) | 1M | Anthropic | 51 | $1.34 | 79 | 26.77 | 33.11 | |
Claude Fable 5.1 (high with fallback) | 1M | Anthropic | 51 | $3.91 | 55 | 20.37 | 29.42 | |
GPT-6.1 Sol (xhigh) | 1M | OpenAI | 51 | $0.39 | 60 | 182.62 | 191.01 | |
GPT-6 Astra (high) | 1M | OpenAI | 51 | $1.73 | 53 | 94.34 | 103.75 | |
GPT-6.1 Sol (high) | 1M | OpenAI | 50 | $0.32 | 56 | 56.67 | 65.54 | |
GPT-6 Astra (medium) | 1M | OpenAI | 50 | $1.54 | 52 | 6.30 | 15.94 | |
Claude Fable 5.1 (medium with fallback) | 1M | Anthropic | 49 | $2.98 | 56 | 11.41 | 20.42 | |
Muse Spark 1.3 (max) | 1M | Meta | 48 | $1.60 | 128 | 47.22 | 66.72 | |
GPT-6.1 Sol (medium) | 1M | OpenAI | 48 | $0.21 | 55 | 7.59 | 16.64 | |
Claude Fable 5.1 (low with fallback) | 1M | Anthropic | 47 | $2.37 | 59 | 3.05 | 11.55 | |
Claude Sonnet 5.5 (high with fallback) | 1M | Anthropic | 47 | $0.88 | 97 | 14.98 | 20.15 | |
Grok 4.7 (xhigh) | 500k |  SpaceXAI | 46 | $3.74 | 86 | 100.97 | 106.81 | |
Grok 4.7 (high) | 500k | SpaceXAI | 46 | $2.73 | 77 | 55.62 | 62.15 | |
MiMo-V2.6-Pro | 1M |  Xiaomi | 46 | $0.13 | 47 | 4.01 | 57.45 | |
GPT-6 Astra (low) | 1M | OpenAI | 46 | $0.82 | 52 | 2.55 | 12.11 | |
Qwen3.8 Max (0902) | 984k |  Alibaba | 45 | $5.41 | 42 | 2.96 | 62.00 | |
Muse Spark 1.3 (xhigh) | 1M | Meta | 45 | $1.37 | 239 | 28.99 | 39.44 | |
GLM-5.3 (max) | 1M |  Z AI | 45 | $2.01 | 62 | 3.48 | 43.52 | |
Step 5 Preview | 1M |  StepFun | 44 | $1.03 | 90 | 2.92 | 30.60 | |
Kimi K3 (max) | 1.05M | Kimi | 44 | $2.00 | 45 | 3.18 | 59.21 | |
Claude Haiku 5.5 (max) | 1M | Anthropic | 43 | $0.21 | 237 | 318.08 | 320.19 | |
Claude Opus 5.5 (low with fallback) | 1M | Anthropic | 42 | $0.55 | 80 | 12.35 | 18.59 | |
Grok 4.7 (low) | 500k | SpaceXAI | 42 | $1.25 | 65 | 7.25 | 14.96 | |
GPT-6.1 Sol (low) | 1M | OpenAI | 42 | $0.13 | 51 | 2.85 | 12.74 | |
GPT-5.6 Terra (max) | 1M | OpenAI | 42 | $1.40 | 132 | 130.36 | 134.15 | |
GLM-5.3-Flash | 1M | Z AI | 42 | $0.28 | 67 | 2.74 | 40.32 | |
Claude Haiku 5.5 (xhigh) | 1M | Anthropic | 41 | $0.12 | 183 | 72.39 | 75.12 | |
Ling 3.1 Flash | 1M | InclusionAI | 41 | $1.00 | 209 | 1.88 | 13.83 | |
Gemini 3.8 Flash (high) | 1M | Google | 41 | $1.24 | 145 | 24.95 | 28.39 | |
Claude Sonnet 5.5 (medium with fallback) | 1M | Anthropic | 41 | $0.48 | 95 | 1.10 | 6.37 | |
Qwen3.8 2.4T A95B | 262k | Alibaba | 40 | $2.16 | 40 | 3.10 | 65.65 | |
Qwen3.8-Flash-Next | 256k | Alibaba | 40 | $0.37 | 51 | 2.01 | 50.80 | |
Gemini 3.8 Flash (medium) | 1M | Google | 40 | $0.93 | -- | -- | -- | |
DeepSeek V4.1 Flash (max) | 1M |  DeepSeek | 39 | $0.27 | 187 | 0.96 | 14.30 | |
Mistral Large 4 Preview | 524k |  Mistral | 38 | $1.13 | -- | -- | -- | |
GPT-6 Luna (max) | 1M | OpenAI | 38 | $0.07 | 135 | 88.98 | 92.68 | |
GPT-5.6 Terra (xhigh) | 1M | OpenAI | 38 | $0.63 | 109 | 38.82 | 43.40 | |
MiMo-V2.6-Flash | 1M | Xiaomi | 38 | $0.06 | 65 | 3.17 | 41.74 | |
Claude Haiku 5.5 (high) | 1M | Anthropic | 38 | $0.08 | 175 | 24.23 | 27.09 | |
DeepSeek V4 Pro 0813 (max) | 1M | DeepSeek | 36 | $0.67 | 99 | 1.61 | 26.76 | |
Claude Sonnet 5.5 (low with fallback) | 1M | Anthropic | 36 | $0.35 | 101 | 0.68 | 5.65 | |
Agnes 2.5 Pro Beta | 1M |  Sapiens AI | 35* | -- | -- | -- | -- | |
DeepSeek V4 Flash Vision (max) | 1M | DeepSeek | 35 | $0.31 | 187 | 1.02 | 14.35 | |
GPT-6 Luna (xhigh) | 1M | OpenAI | 35 | $0.04 | 126 | 45.19 | 49.16 | |
Claude Haiku 5.5 (medium) | 1M | Anthropic | 34 | $0.05 | 175 | 12.85 | 15.71 | |
GLM-5.3 (low) | 1M | Z AI | 34 | $0.85 | 74 | 2.99 | 36.69 | |
GPT-5.6 Terra (high) | 1M | OpenAI | 34 | $0.34 | 107 | 10.91 | 15.58 | |
JT-4.1 Flash 236B A21B | 262k |  China Mobile | 34 | -- | -- | -- | -- | |
Qwen3.8 27B (xhigh) | 256k | Alibaba | 34 | $1.01 | 45 | 3.86 | 59.26 | |
Motif 3 | 262k |  Motif Technologies | 34* | -- | -- | -- | -- | |
Gemini 3.8 Flash (low) | 1M | Google | 33 | -- | -- | -- | -- | |
GPT-6 Luna (high) | 1M | OpenAI | 33 | $0.03 | 132 | 18.55 | 22.33 | |
GPT-5.3 Codex (xhigh) | 400k | OpenAI | 33* | -- | 111 | 72.02 | 76.53 | |
K2 Horizon 375B A23B | 524k | Institute of Foundation Models | 31 | $0.00 | 118 | 2.64 | 23.83 | |
GPT-5.6 Terra (medium) | 1M | OpenAI | 30 | $0.18 | 106 | 1.81 | 6.51 | |
Kimi K3 (low) | 1.05M | Kimi | 30 | $1.15 | 48 | 3.17 | 54.86 | |
GPT-6 Luna (medium) | 1M | OpenAI | 30 | $0.02 | -- | -- | -- | |
Gemini 3.1 Pro Preview | 1M | Google | 30 | $1.30 | 140 | 27.69 | 31.26 | |
Claude Haiku 5.5 (low) | 1M | Anthropic | 29 | $0.02 | 170 | 9.21 | 12.15 | |
MiniMax-M3 | 1M |  MiniMax | 29 | $0.51 | 107 | 1.16 | 24.54 | |
Nex-N2-Pro | 262k |  Nex AGI | 28* | -- | -- | -- | -- | |
Solar Pro 4 | 512k |  Upstage | 28* | -- | 93 | 2.02 | 28.88 | |
Qwen3.8 27B (medium) | 256k | Alibaba | 28 | $1.13 | 48 | 3.87 | 56.17 | |
GPT-5.6 Terra (low) | 1M | OpenAI | 27 | $0.14 | 103 | 1.80 | 6.64 | |
JT-4.1 Flash 236B A21B (non-reasoning) | 262k | China Mobile | 27* | -- | -- | -- | -- | |
Quasar 438B (max) | 1M |  Multiverse Computing | 27 | $2.02 | 156 | 1.28 | 17.30 | |
Apodex 1.1 | 256k |  Apodex | 26 | $0.46 | -- | -- | -- | |
Qwen3.8 27B (low) | 256k | Alibaba | 26 | $1.05 | 51 | 3.79 | 52.82 | |
GPT-5.5 Instant (June 2026) | 400k | OpenAI | 26 | $0.69 | 158 | 0.91 | 16.71 | |
Kimi K2.7 Code | 256k | Kimi | 26 | $0.54 | 64 | 2.75 | 45.48 | |
Inkling Small | 1M |  Thinking Machines | 26 | $0.09 | 182 | 2.20 | 15.93 | |
K2 Horizon MoVA 36B A4B | 524k | Institute of Foundation Models | 25 | -- | -- | -- | -- | |
Hy3 | 256k |  Tencent | 25 | $0.07 | 85 | 2.81 | 32.26 | |
Qwen3.7 Plus | 1M | Alibaba | 25 | $0.22 | 56 | 2.24 | 47.14 | |
Inkling (xhigh) | 1M | Thinking Machines | 25 | -- | 186 | 1.91 | 15.33 | |
Solar Open2 250B | 1.05M | Upstage | 25* | -- | -- | -- | -- | |
DeepSeek V4.1 Flash (non-reasoning) | 1M | DeepSeek | 25 | $0.15 | 193 | 1.05 | 3.65 | |
Ling-3.0-flash-VL | 262k | InclusionAI | 25 | -- | -- | -- | -- | |
Solar Mini 4 | 1.05M | Upstage | 24 | $0.37 | 80 | 1.86 | 32.99 | |
Nemotron 3 Ultra | 262k | NVIDIA | 23 | $0.60 | 166 | 1.12 | 17.80 | |
Ling-3.0-flash-Fin | 262k | InclusionAI | 23 | -- | 298 | 1.63 | 10.03 | |
Gemini 3.5 Flash-Lite | 1M | Google | 22 | $0.19 | 408 | 8.23 | 9.45 | |
G9v3-39A5B | 131k |  AI9Stars | 22* | -- | -- | -- | -- | |
KAT-Coder-Pro V2 | 256k |  KwaiKAT | 22* | -- | -- | -- | -- | |
GPT-6 Luna (low) | 1M | OpenAI | 22 | $0.0045 | 122 | 2.64 | 6.74 | |
A.X-K2 | 262k |  SK Telecom | 21 | -- | -- | -- | -- | |
Qwen3.5 397B A17B (non-reasoning) | 262k | Alibaba | 21* | -- | 63 | 2.49 | 10.48 | |
GPT-5.6 Terra (non-reasoning) | 1M | OpenAI | 21 | $0.14 | 104 | 0.74 | 5.55 | |
K2 Horizon 7B | 524k | Institute of Foundation Models | 21 | -- | -- | -- | -- | |
Qwen3.5 Omni Plus | 256k | Alibaba | 20* | -- | 89 | 2.11 | 7.71 | |
DeepSeek V4 Pro 0813 (non-reasoning) | 1M | DeepSeek | 20 | $0.36 | 97 | 1.68 | 6.84 | |
o3 | 200k | OpenAI | 20* | -- | 121 | 6.79 | 10.92 | |
Qwen3.8 27B (non-reasoning) | 256k | Alibaba | 20 | $2.49 | 49 | 4.33 | 14.49 | |
K-EXAONE 2.0 | 262k |  LG AI Research | 20* | -- | -- | -- | -- | |
LongCat 2.0 | 1M |  LongCat | 19 | $0.15 | 68 | 2.64 | 39.19 | |
JT-35B-Flash | 256k | China Mobile | 19* | -- | -- | -- | -- | |
GPT-6 Luna (non-reasoning) | 1M | OpenAI | 18 | $0.01 | 112 | 0.86 | 5.32 | |
Qwen3.5 397B A17B | 262k | Alibaba | 18 | $0.47 | 64 | 2.42 | 59.65 | |
Qwen3.6 35B A3B | 262k | Alibaba | 18 | $0.48 | 132 | 2.05 | 46.67 | |
Qwen3.5 122B A10B (non-reasoning) | 262k | Alibaba | 18* | -- | 142 | 2.30 | 5.82 | |
Muse Glimmer (high) | 131k | Meta | 17 | $0.05 | 133 | 0.98 | 19.83 | |
Doubao Seed Code | 256k |  ByteDance Seed | 17* | -- | -- | -- | -- | |
Gemma 4 26B A4B | 256k | Google | 17* | -- | 70 | 1.00 | 36.82 | |
Ring-2.6-1T | 262k | InclusionAI | 17 | $0.29 | 121 | 3.86 | 24.52 | |
K2 Horizon 3.7B | 524k | Institute of Foundation Models | 16 | -- | -- | -- | -- | |
Qwen3.5 122B A10B | 262k | Alibaba | 16 | $0.32 | 127 | 2.32 | 22.05 | |
Qwen3.6 35B A3B (non-reasoning) | 262k | Alibaba | 15* | -- | 142 | 2.03 | 5.55 | |
Gemma 4 31B | 256k | Google | 15 | $0.00 | 35 | 1.10 | 64.16 | |
ERNIE 5.0 Thinking Preview | 128k |  Baidu | 14* | -- | -- | -- | -- | |
Mistral Medium 3.5 | 256k | Mistral | 14 | $0.50 | 167 | 2.21 | 17.18 | |
Gemma 4 12B | 262k | Google | 14* | -- | 111 | 2.51 | 25.08 | |
Nova 2.0 Pro Preview (medium) | 256k |  Amazon | 14* | -- | 127 | 15.68 | 35.37 | |
Gemma 4 31B (non-reasoning) | 256k | Google | 14* | -- | 45 | 2.00 | 13.21 | |
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 | 19.37 | 32.65 | |
Qwen3.5 9B (non-reasoning) | 262k | Alibaba | 13* | -- | 98 | 0.73 | 5.83 | |
EXAONE 4.5 33B | 262k | LG AI Research | 13* | -- | -- | -- | -- | |
Command A+ | 192k | Cohere | 13 | $0.00 | 187 | 0.50 | 13.85 | |
Gemma 4 26B A4B (non-reasoning) | 256k | Google | 13* | -- | 95 | 0.99 | 6.23 | |
Qwen3.5 4B | 262k | Alibaba | 13* | -- | 25 | 0.82 | 99.53 | |
Nemotron 3.5 Lightning | 1M | NVIDIA | 13 | $0.09 | 302 | 0.60 | 8.88 | |
Nemotron 3 Super | 1M | NVIDIA | 13 | $1.64 | 146 | 1.30 | 18.46 | |
Nova 2.0 Pro Preview (low) | 256k | Amazon | 13* | -- | 123 | 10.33 | 30.69 | |
Granite 4.2 30B | 131k |  IBM | 13 | $0.07 | 77 | 0.91 | 33.49 | |
Nova 2.0 Lite (medium) | 1M | Amazon | 12* | -- | 210 | 18.85 | 30.74 | |
Qwen3.5 Omni Flash | 256k | Alibaba | 12* | -- | 226 | 1.81 | 4.02 | |
MiniCPM5-2B | 131k |  OpenBMB | 12 | -- | -- | -- | -- | |
Mercury 2.5 | 260k | Inception | 12 | $0.12 | 762 | 3.74 | 4.40 | |
JT-MINI | 128k | China Mobile | 12* | -- | -- | -- | -- | |
Magistral Medium 1.2 | 128k | Mistral | 12* | -- | -- | -- | -- | |
Nova 2.0 Lite (low) | 1M | Amazon | 12* | -- | 187 | 10.84 | 24.24 | |
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 | 233 | 0.82 | 11.55 | |
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 | 165 | 0.81 | 15.95 | |
Qwen3 Next 80B A3B | 262k | Alibaba | 11* | -- | 157 | 0.73 | 16.61 | |
Qwen3.5 9B | 262k | Alibaba | 11 | $0.21 | 66 | 1.90 | 39.93 | |
Nova 2.0 Omni (low) | 1M | Amazon | 11* | -- | -- | -- | -- | |
Granite 4.2 8B | 131k | IBM | 11 | $0.02 | 59 | 0.75 | 43.20 | |
Ling 3.0 Tiny | 262k | InclusionAI | 11 | $0.00 | 17 | 15.07 | 163.76 | |
Mi:dm K 2.5 Pro | 128k |  Korea Telecom | 11* | -- | -- | -- | -- | |
G9v3-3B | 131k | AI9Stars | 11* | -- | -- | -- | -- | |
Trinity Large Thinking | 512k | Arcee AI | 11 | $0.12 | 352 | 1.12 | 8.23 | |
Qwen3.5 4B (non-reasoning) | 262k | Alibaba | 11* | -- | 20 | 0.85 | 25.63 | |
INTELLECT-3 | 131k |  Prime Intellect | 11* | -- | -- | -- | -- | |
Solar Open 100B | 128k | Upstage | 10* | -- | -- | -- | -- | |
Nemotron 3 Nano Omni 30B A3B | 256k | NVIDIA | 10* | -- | 240 | 0.45 | 10.88 | |
gpt-oss-120b (low) | 131k | OpenAI | 10* | -- | 241 | 0.85 | 11.23 | |
Llama 4 Maverick | 1M | Meta | 10* | -- | 44 | 1.09 | 12.36 | |
Nova 2.0 Pro Preview (non-reasoning) | 256k | Amazon | 10* | -- | 111 | 1.04 | 5.53 | |
gpt-oss-20b (low) | 131k | OpenAI | 10* | -- | 296 | 0.73 | 9.18 | |
North Mini Code | 256k | Cohere | 10 | $0.00 | 101 | 0.42 | 25.29 | |
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* | -- | 113 | 2.52 | 6.92 | |
Qwen3 Coder Next | 256k | Alibaba | 9 | $0.78 | 71 | 1.03 | 8.08 | |
Motif-2-12.7B | 128k | Motif Technologies | 9* | -- | -- | -- | -- | |
Nova Premier | 1M | Amazon | 9* | -- | -- | -- | -- | |
Granite 4.2 3B | 131k | IBM | 9 | $0.01 | 215 | 0.53 | 12.14 | |
K2-V2 (medium) | 512k | Institute of Foundation Models | 9* | -- | -- | -- | -- | |
Mistral Small 4 (non-reasoning) | 256k | Mistral | 9* | -- | 147 | 0.93 | 4.33 | |
Tri-21B-Think | 32k |  Trillion Labs | 9* | -- | -- | -- | -- | |
gpt-oss-20b (high) | 131k | OpenAI | 9 | $0.01 | 219 | 0.76 | 12.18 | |
Gemma 4 E4B | 128k | Google | 9* | -- | 41 | 0.95 | 62.35 | |
Nemotron 3 Nano | 1M | NVIDIA | 9 | $0.02 | 235 | 0.97 | 11.61 | |
MiniCPM5-1B | 128k | OpenBMB | 9* | -- | -- | -- | -- | |
Sarvam 105B (high) | 128k |  Sarvam | 9* | -- | -- | -- | -- | |
Nova 2.0 Lite (non-reasoning) | 1M | Amazon | 9* | -- | 178 | 1.06 | 3.87 | |
MiniCPM5-1B (non-reasoning) | 128k | OpenBMB | 9* | -- | -- | -- | -- | |
Magistral Small 1.2 | 128k | Mistral | 9* | -- | 75 | 1.55 | 34.84 | |
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* | -- | 68 | 0.87 | 8.27 | |
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* | -- | 102 | 1.95 | 26.35 | |
Step3 VL 10B | 65.5k | StepFun | 8* | -- | -- | -- | -- | |
Llama 3.3 70B | 128k | Meta | 8* | -- | 93 | 1.75 | 7.14 | |
Llama Nemotron Ultra | 128k | NVIDIA | 8* | -- | -- | -- | -- | |
ERNIE 4.5 300B A47B | 131k | Baidu | 8* | -- | -- | -- | -- | |
Hermes 4 405B | 128k | Nous Research | 7* | -- | 41 | 2.33 | 63.78 | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | 7* | -- | -- | -- | -- | |
Gemma 4 E4B (non-reasoning) | 128k | Google | 7* | -- | 29 | 0.85 | 18.29 | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | 7* | -- | 202 | 0.57 | 12.94 | |
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* | -- | 62 | 1.78 | 9.79 | |
Qwen3.5 2B | 262k | Alibaba | 7* | -- | -- | -- | -- | |
Nemotron 3 Nano (non-reasoning) | 1M | NVIDIA | 7* | -- | 248 | 0.53 | 2.55 | |
NVIDIA Nemotron Nano 9B V2 (non-reasoning) | 131k | NVIDIA | 7* | -- | 172 | 1.07 | 3.98 | |
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 | 1,549 | 0.60 | 0.93 | |
Phi-4 Mini | 128k |  Microsoft | 6* | -- | 46 | 0.82 | 11.66 | |
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 | 55 | 1.09 | 10.15 | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | 6* | -- | 96 | 1.85 | 7.05 | |
LFM2 24B A2B | 32.8k | Liquid AI | 6* | -- | -- | -- | -- | |
Phi-4 | 16k | Microsoft | 6* | -- | 42 | 2.46 | 14.48 | |
Nova Micro | 130k | Amazon | 6* | -- | 313 | 0.86 | 2.46 | |
NVIDIA Nemotron Nano 12B v2 VL (non-reasoning) | 128k | NVIDIA | 6* | -- | 206 | 1.12 | 3.54 | |
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* | -- | 92 | 1.40 | 28.53 | |
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 | 106 | 0.79 | 5.50 | |
Llama 3.2 11B (Vision) | 128k | Meta | 5* | -- | 22 | 1.72 | 24.75 | |
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 | 212 | 0.61 | 2.97 | |
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 | -- | -- | -- | -- | -- | |
주요 용어 정의
자주 묻는 질문
Claude Opus 5.5 (Max, Default Fallback)은 현재 127개 모델이 오른 Artificial Analysis LLM Leaderboard에서 Intelligence Index 점수 58점으로 1위입니다.
Intelligence Index 기준 상위 모델: 1. Claude Opus 5.5 (Max, Default Fallback)(58), 2. Claude Sonnet 5.5 (Max, Default Fallback)(56), 3. Claude Opus 5.5 (Xhigh, Default Fallback)(56), 4. Muse Wonder Full (Max)(56), 5. Claude Opus 5.5 (High, Default Fallback)(54).
Celeris-1이 초당 1,549.2토큰으로 가장 빠르며, Mercury 2.5(761.8 t/s)과 Gemini 3.5 Flash-Lite(407.6 t/s)이 뒤를 잇습니다.
K2 Horizon 375B A23B의 Intelligence Index 작업당 비용이 $0.00로 가장 낮으며, Gemma 4 31B (Reasoning)($0.00)과 Command A+($0.00)이 뒤를 잇습니다.
MiMo-V2.6-Pro이 Intelligence Index 점수 46점으로 가장 높은 순위의 오픈 웨이트 모델입니다. 리더보드의 전체 모델 127개 중 오픈 웨이트 모델은 59개입니다.
Intelligence Index 기준 상위 오픈 웨이트 모델: 1. MiMo-V2.6-Pro(46), 2. GLM-5.3 (Max)(45), 3. Kimi K3 (Max)(44).
Claude Opus 5.5 (Max, Default Fallback)이 Intelligence Index 점수 58점으로 추론 모델 117개 중 선두입니다. 추론 모델은 답변하기 전에 확장 사고를 사용해 복잡한 문제를 해결합니다.
모델 유형(추론/비추론), 공개 여부(오픈 웨이트/독점) 등의 기준으로 결과를 좁힐 수 있습니다. 프롬프트 옵션을 조정해 입력 길이에 따른 성능 변화도 확인할 수 있습니다.
리더보드에서 모델 이름을 클릭하면 지능, 가격, 속도, 지연 시간 등의 상세 차트가 있는 전용 비교 페이지로 이동합니다. 모델별 API 제공업체도 비교할 수 있습니다. 모든 모델 보기