LLM-Bestenliste – Vergleich von KI-Modellen von OpenAI, Anthropic, Google, SpaceXAI und weiteren Anbietern
Vergleich und Rangliste der Leistung von über 250 KI-Modellen (LLMs) anhand zentraler Metriken wie Intelligenz, Preis, Leistung und Geschwindigkeit (Ausgabegeschwindigkeit in Tokens pro Sekunde und Latenz als TTFT), Kontextfenster und weiteren Kriterien.
Weitere Details, auch zu unserer Methodik, finden Sie in unseren FAQs.
Intelligenz
Claude Opus 5 (max) und Claude Opus 5 (xhigh) weisen die höchste Intelligenz auf, gefolgt von Claude Fable 5 (with fallback) und GPT-5.6 Sol (max).
Ausgabegeschwindigkeit
Celeris-1 und Mercury 2 sind die schnellsten Modelle, gefolgt von LFM2.5-VL-1.6B und Step 3.7 Flash.
Latenz
Gemini 2.5 Flash-Lite und Command A+ weisen die niedrigsten Latenzwerte auf, gefolgt von Gemini 2.5 Flash und Grok Build 0.1 0616.
Kosten pro Aufgabe
GPT-5.6 Luna (low) und MiMo-V2.5 haben die niedrigsten Kosten pro Aufgabe, gefolgt von Llama 4 Scout und GPT-5.6 Luna (medium).
Kontextfenster
Llama 4 Scout und Grok 4.20 0309 unterstützen die größten Kontextfenster, gefolgt von Gemini 1.5 Pro (May) und Grok 4.1 Fast.
Weitere Analyse | ||||||||
|---|---|---|---|---|---|---|---|---|
Claude Opus 5 (max) | 1M | Anthropic | 61 | $2.34 | 55 | 69.32 | 78.39 | |
Claude Opus 5 (xhigh) | 1M | Anthropic | 60 | $1.80 | 57 | 35.94 | 44.74 | |
Claude Fable 5 (with fallback) | 1M | Anthropic | 60 | $3.15 | 74 | 112.28 | 119.01 | |
GPT-5.6 Sol (max) | 1M | OpenAI | 59 | $1.23 | 66 | 139.09 | 146.69 | |
Claude Opus 5 (high) | 1M | Anthropic | 59 | $1.23 | 54 | 20.31 | 29.49 | |
GPT-5.6 Sol (xhigh) | 1M | OpenAI | 58 | $0.83 | 65 | 48.05 | 55.79 | |
Kimi K3 (max) | 1.05M |  Kimi | 57 | $0.86 | 37 | 2.87 | 71.01 | |
Claude Opus 5 (medium) | 1M | Anthropic | 56 | $0.72 | 54 | 7.49 | 16.79 | |
GPT-5.6 Sol (high) | 1M | OpenAI | 56 | $0.55 | 62 | 12.87 | 20.99 | |
GPT-5.6 Terra (max) | 1M | OpenAI | 55 | $0.51 | 122 | 171.60 | 175.69 | |
Grok 4.5 (high) | 500k | SpaceXAI | 54 | $0.36 | 59 | 11.79 | 20.20 | |
GPT-5.6 Sol (medium) | 1M | OpenAI | 54 | $0.39 | 61 | 7.89 | 16.09 | |
Claude Sonnet 5 (max) | 1M | Anthropic | 53 | $1.72 | 82 | 198.39 | 204.51 | |
GPT-5.6 Terra (xhigh) | 1M | OpenAI | 52 | $0.31 | 116 | 25.28 | 29.59 | |
GPT-5.6 Luna (max) | 1M | OpenAI | 51 | $0.05 | 178 | 135.99 | 138.80 | |
GLM-5.2 (max) | 1M |  Z AI | 51 | $0.57 | 160 | 1.52 | 17.17 | |
Muse Spark 1.1 (xhigh) | 1.05M | Meta | 51 | $0.29 | 216 | 2.90 | 14.49 | |
Claude Opus 5 (low) | 1M | Anthropic | 51 | $0.43 | 52 | 2.85 | 12.41 | |
Gemini 3.5 Flash | 1M | Google | 50 | $0.69 | 179 | 24.97 | 27.77 | |
Gemini 3.6 Flash | 1M | Google | 50 | $0.56 | 200 | 15.67 | 18.16 | |
DeepSeek V4 Flash 0731 (max) | 1M |  DeepSeek | 50 | $0.03 | 110 | 1.33 | 24.04 | |
GPT-5.6 Sol (low) | 1M | OpenAI | 49 | $0.24 | 61 | 3.74 | 11.98 | |
GPT-5.6 Luna (xhigh) | 1M | OpenAI | 49 | $0.03 | 168 | 46.39 | 49.37 | |
GPT-5.6 Terra (high) | 1M | OpenAI | 49 | $0.22 | 116 | 3.33 | 7.65 | |
Kimi K3 (low) | 1.05M | Kimi | 47 | $0.24 | 36 | 3.69 | 72.79 | |
Gemini 3.1 Pro Preview | 1M | Google | 46 | $0.34 | 126 | 32.39 | 36.35 | |
GPT-5.6 Luna (high) | 1M | OpenAI | 46 | $0.02 | 168 | 11.71 | 14.68 | |
Qwen3.7 Max | 1M |  Alibaba | 46 | $1.08 | 203 | 2.31 | 16.64 | |
GPT-5.6 Terra (medium) | 1M | OpenAI | 46 | $0.12 | 113 | 1.83 | 6.26 | |
Gemini 3.5 Flash (medium) | 1M | Google | 45* | -- | 182 | 17.04 | 19.78 | |
MiniMax-M3 | 1M |  MiniMax | 44 | $0.14 | 73 | 1.55 | 35.92 | |
DeepSeek V4 Pro (max) | 1M | DeepSeek | 44 | $0.05 | 64 | 1.61 | 77.21 | |
GPT-5.3 Codex (xhigh) | 400k | OpenAI | 44* | -- | 124 | 84.77 | 88.80 | |
Motif 3 (Beta) | 262k |  Motif Technologies | 44 | -- | -- | -- | -- | |
DeepSeek V4 Pro (high) | 1M | DeepSeek | 43 | $0.04 | 66 | 1.51 | 39.36 | |
Muse Spark | 262k | Meta | 43 | -- | -- | -- | -- | |
MiMo-V2.5-Pro | 1M | Xiaomi | 42 | $0.03 | 67 | 2.74 | 40.23 | |
Kimi K2.7 Code | 256k | Kimi | 42 | $0.22 | 42 | 2.85 | 67.31 | |
Claude Sonnet 5 (Non-reasoning) | 1M | Anthropic | 42 | $0.42 | 61 | 1.65 | 9.79 | |
Hy3 | 256k |  Tencent | 41 | $0.04 | 65 | 2.76 | 41.11 | |
GPT-5.6 Sol (Non-reasoning) | 1M | OpenAI | 41 | $0.24 | 60 | 1.05 | 9.38 | |
Nex-N2-Pro | 262k |  Nex AGI | 41 | -- | 131 | 1.60 | 20.68 | |
Inkling | 1M |  Thinking Machines | 41 | -- | 80 | 1.84 | 32.93 | |
GPT-5.6 Terra (low) | 1M | OpenAI | 40 | $0.09 | 112 | 1.64 | 6.10 | |
Inkling Small | 1M | Thinking Machines | 40 | $0.07 | 137 | 1.58 | 19.88 | |
Qwen3.6 Plus | 1M | Alibaba | 40 | $0.36 | 56 | 2.11 | 110.40 | |
Qwen3.7 Plus | 1M | Alibaba | 39 | $0.23 | 54 | 2.33 | 48.49 | |
JT-4.1 Flash 236B A21B | 256k |  China Mobile | 39 | -- | -- | -- | -- | |
Agnes 2.5 Pro Alpha | 1M |  Sapiens AI | 39 | -- | 134 | 2.72 | 21.40 | |
GPT-5.6 Luna (medium) | 1M | OpenAI | 38 | $0.01 | 151 | 3.01 | 6.33 | |
Nemotron 3 Ultra | 262k |  NVIDIA | 38 | $0.38 | 145 | 2.15 | 21.23 | |
MiMo-V2.5 | 1M | Xiaomi | 37 | $0.01 | 85 | 2.56 | 31.94 | |
Qwen3.6 27B | 262k | Alibaba | 37 | $0.29 | 59 | 3.77 | 108.76 | |
Gemini 3.5 Flash-Lite | 1M | Google | 36 | $0.10 | 346 | 10.30 | 11.75 | |
MiMo-V2-Omni-0327 | 256k | Xiaomi | 36* | -- | -- | -- | -- | |
Grok 4.3 (medium) | 1M | SpaceXAI | 36* | -- | 127 | 11.57 | 15.52 | |
Grok 4.3 (low) | 1M | SpaceXAI | 35* | -- | 112 | 6.49 | 10.98 | |
MiMo-V2-Omni | 256k | Xiaomi | 35* | -- | -- | -- | -- | |
Gemini 3.5 Flash (minimal) | 1M | Google | 35* | -- | 171 | 1.05 | 3.97 | |
Kimi K2.6 | 256k | Kimi | 35* | -- | 35 | 2.89 | 17.02 | |
Claude Sonnet 4.6 (Non-reasoning, Low Effort) | 1M | Anthropic | 34* | -- | 44 | 1.72 | 13.11 | |
GLM-5.2 | 1M | Z AI | 34 | -- | 97 | 1.85 | 7.00 | |
GPT-5.6 Terra (Non-reasoning) | 1M | OpenAI | 34 | $0.10 | 107 | 0.79 | 5.48 | |
KAT-Coder-Pro V2 | 256k |  KwaiKAT | 34 | -- | 108 | 1.87 | 6.50 | |
Qwen3.5 397B A17B | 262k | Alibaba | 34 | $0.36 | 70 | 2.37 | 54.83 | |
Hy3-preview | 256k | Tencent | 34* | -- | -- | -- | -- | |
LongCat 2.0 | 1M |  LongCat | 33 | $0.12 | 42 | 2.74 | 61.75 | |
GPT-5.6 Luna (low) | 1M | OpenAI | 33 | $0.01 | 137 | 2.12 | 5.77 | |
MiMo-V2-Flash (Feb 2026) | 256k | Xiaomi | 33* | -- | -- | -- | -- | |
Qwen3.5 122B A10B | 262k | Alibaba | 32 | $0.26 | 125 | 2.57 | 22.64 | |
Qwen3.5 397B A17B | 262k | Alibaba | 32* | -- | 72 | 2.44 | 9.42 | |
Qwen3.6 35B A3B | 262k | Alibaba | 32 | $0.19 | 141 | 2.30 | 43.97 | |
DeepSeek V4 Pro | 1M | DeepSeek | 31* | -- | 63 | 1.52 | 9.41 | |
G9v3-39A5B | 131k |  AI9Stars | 31 | -- | -- | -- | -- | |
Qwen3.5 Omni Plus | 256k | Alibaba | 31* | -- | 53 | 2.36 | 11.83 | |
Ring-2.6-1T | 262k |  InclusionAI | 31 | $0.37 | -- | -- | -- | |
Qwen3.6 27B | 262k | Alibaba | 30 | $0.40 | 57 | 3.72 | 12.50 | |
o3 | 200k | OpenAI | 30* | -- | 120 | 8.41 | 12.57 | |
Step 3.7 Flash | 262k | StepFun | 30 | $0.09 | 364 | 0.92 | 7.79 | |
Mistral Medium 3.5 | 256k |  Mistral | 30 | $0.46 | 134 | 1.88 | 20.57 | |
Claude 4.5 Haiku | 200k | Anthropic | 30 | $0.22 | 99 | 18.99 | 24.05 | |
Gemma 4 31B | 256k | Google | 29 | $0.00 | 35 | 1.10 | 64.26 | |
GPT-5.5 Instant (June 2026) | 400k | OpenAI | 29 | $0.54 | 168 | 1.00 | 15.93 | |
DeepSeek V4 Flash | 1M | DeepSeek | 29* | -- | 120 | 1.20 | 5.36 | |
JT-35B-Flash | 256k | China Mobile | 28* | -- | -- | -- | -- | |
KAT-Coder-Pro V1 | 256k | KwaiKAT | 28* | -- | -- | -- | -- | |
MiMo-V2.5-Pro | 1M | Xiaomi | 28* | -- | 61 | 3.24 | 11.37 | |
Qwen3.5 122B A10B | 262k | Alibaba | 28 | $0.19 | 140 | 2.56 | 6.12 | |
GPT-5.6 Luna (Non-reasoning) | 1M | OpenAI | 27 | $0.01 | 162 | 0.82 | 3.91 | |
Hy3-preview | 256k | Tencent | 26* | -- | -- | -- | -- | |
Ling-2.6-1T | 262k | InclusionAI | 26* | -- | -- | -- | -- | |
Doubao Seed Code | 256k |  ByteDance Seed | 26* | -- | -- | -- | -- | |
Gemini 2.5 Pro | 1M | Google | 26 | $0.22 | 136 | 22.36 | 26.03 | |
Gemma 4 26B A4B | 256k | Google | 26 | $0.04 | -- | -- | -- | |
NVIDIA Nemotron 3 Super | 1M | NVIDIA | 25 | $0.23 | 143 | 1.95 | 19.40 | |
Gemini 3.1 Flash-Lite | 1M | Google | 25 | $0.04 | 312 | 6.13 | 7.73 | |
Grok 4.3 (Non-reasoning) | 1M | SpaceXAI | 25 | $0.29 | 120 | 0.73 | 4.91 | |
MiMo-V2-Flash | 256k | Xiaomi | 25 | -- | -- | -- | -- | |
Qwen3.6 35B A3B | 262k | Alibaba | 24 | $0.63 | 164 | 2.42 | 5.47 | |
Qwen3.5 35B A3B | 262k | Alibaba | 24 | $0.24 | 170 | 2.35 | 5.29 | |
gpt-oss-120b (high) | 131k | OpenAI | 24 | $0.08 | 185 | 0.85 | 14.38 | |
Claude 4.5 Haiku | 200k | Anthropic | 24* | -- | 90 | 0.98 | 6.54 | |
Command A+ | 192k | Cohere | 23 | $0.00 | 209 | 0.44 | 12.38 | |
K-EXAONE | 256k |  LG AI Research | 22 | -- | -- | -- | -- | |
ERNIE 5.0 Thinking Preview | 128k |  Baidu | 22* | -- | -- | -- | -- | |
Gemma 4 12B | 256k | Google | 22 | $0.08 | 111 | 2.39 | 24.86 | |
Gemma 4 31B | 256k | Google | 22 | $0.04 | 66 | 2.44 | 9.98 | |
Nova 2.0 Pro Preview (medium) | 256k |  Amazon | 22 | $0.18 | 118 | 14.71 | 35.85 | |
Qwen3.5 9B | 262k | Alibaba | 21 | $0.24 | 73 | 1.66 | 35.97 | |
Mercury 2 | 128k | Inception | 21 | $0.08 | 742 | 3.28 | 3.95 | |
Qwen3 Coder Next | 256k | Alibaba | 21 | $0.33 | 133 | 1.71 | 5.45 | |
Nova 2.0 Omni (medium) | 1M | Amazon | 21* | -- | -- | -- | -- | |
Apriel-v1.6-15B-Thinker | 128k |  ServiceNow | 21* | -- | -- | -- | -- | |
Qwen3.5 9B | 262k | Alibaba | 20* | -- | -- | -- | -- | |
EXAONE 4.5 33B | 262k | LG AI Research | 20 | -- | -- | -- | -- | |
Gemma 4 26B A4B | 256k | Google | 20* | -- | 79 | 1.31 | 7.67 | |
Qwen3.5 4B | 262k | Alibaba | 20* | -- | 32 | 0.67 | 78.55 | |
North Mini Code | 256k | Cohere | 20 | $0.00 | 21 | 0.62 | 117.18 | |
Nova 2.0 Pro Preview (low) | 256k | Amazon | 20 | $0.23 | 123 | 11.68 | 32.00 | |
Mistral Small 4 | 256k | Mistral | 20 | $0.10 | 158 | 1.00 | 16.83 | |
Devstral 2 | 256k | Mistral | 19 | $0.00 | 43 | 1.47 | 13.16 | |
Nova 2.0 Lite (medium) | 1M | Amazon | 19* | -- | 155 | 17.81 | 33.96 | |
Qwen3.5 Omni Flash | 256k | Alibaba | 19* | -- | 242 | 1.86 | 3.93 | |
JT-MINI | 128k | China Mobile | 19* | -- | -- | -- | -- | |
Nova 2.0 Lite (high) | 1M | Amazon | 18 | $0.24 | 138 | 16.25 | 34.32 | |
Trinity Large Thinking | 512k |  Arcee AI | 18 | $0.16 | 205 | 1.03 | 13.21 | |
Magistral Medium 1.2 | 128k | Mistral | 18 | $0.84 | 110 | 2.17 | 24.96 | |
Nova 2.0 Lite (low) | 1M | Amazon | 18* | -- | 156 | 10.57 | 26.55 | |
HyperNova 60B 2605 | 131k |  Multiverse Computing | 18 | $0.02 | 349 | 0.93 | 8.10 | |
Nemotron Cascade 2 30B A3B | 1M | NVIDIA | 18 | -- | -- | -- | -- | |
Devstral Small 2 | 256k | Mistral | 17 | $0.00 | 89 | 1.74 | 7.38 | |
K2 Think V2 | 262k |  MBZUAI Institute of Foundation Models | 17 | -- | -- | -- | -- | |
LongCat Flash Lite | 256k | LongCat | 17* | -- | -- | -- | -- | |
HyperCLOVA X SEED Think (32B) | 128k |  Naver | 17* | -- | -- | -- | -- | |
K-EXAONE | 256k | LG AI Research | 17* | -- | -- | -- | -- | |
Qwen3 Next 80B A3B | 262k | Alibaba | 17 | $0.19 | 205 | 2.41 | 14.61 | |
Nova 2.0 Omni (low) | 1M | Amazon | 17* | -- | -- | -- | -- | |
Mi:dm K 2.5 Pro | 128k |  Korea Telecom | 16* | -- | -- | -- | -- | |
G9v3-3B | 131k | AI9Stars | 16 | $0.00 | -- | -- | -- | |
Qwen3.5 4B | 262k | Alibaba | 16* | -- | 19 | 0.96 | 26.91 | |
Mistral Large 3 | 256k | Mistral | 16 | $0.08 | 43 | 1.22 | 12.88 | |
INTELLECT-3 | 131k |  Prime Intellect | 16* | -- | -- | -- | -- | |
Solar Open 100B | 128k |  Upstage | 15* | -- | -- | -- | -- | |
Nemotron 3 Nano Omni 30B A3B Reasoning | 256k | NVIDIA | 15* | -- | 324 | 1.01 | 8.73 | |
gpt-oss-120b (low) | 131k | OpenAI | 15 | $0.02 | 244 | 0.89 | 11.12 | |
gpt-oss-20b (high) | 131k | OpenAI | 15 | $0.03 | 166 | 0.89 | 15.96 | |
Nova 2.0 Pro Preview | 256k | Amazon | 14 | $0.26 | 96 | 1.01 | 6.24 | |
gpt-oss-20b (low) | 131k | OpenAI | 14* | -- | 180 | 0.93 | 14.83 | |
Llama 4 Maverick | 1M | Meta | 14 | $0.04 | 106 | 0.92 | 5.62 | |
K2-V2 (high) | 512k | MBZUAI Institute of Foundation Models | 14* | -- | -- | -- | -- | |
NVIDIA Nemotron 3 Nano | 1M | NVIDIA | 14 | $0.02 | 248 | 1.47 | 11.55 | |
Solar Pro 3 | 128k | Upstage | 14 | $0.14 | 125 | 2.29 | 22.35 | |
Ling 2.6 Flash | 262k | InclusionAI | 14 | -- | 100 | 1.17 | 6.17 | |
Qwen3 Next 80B A3B | 262k | Alibaba | 14* | -- | 185 | 2.17 | 4.88 | |
DiffusionGemma 26B A4B | 256k | Google | 13 | -- | -- | -- | -- | |
Gemma 4 12B (Non-reasoning) | 262k | Google | 13* | -- | 108 | 2.38 | 7.01 | |
Motif-2-12.7B | 128k | Motif Technologies | 13* | -- | -- | -- | -- | |
Nova Premier | 1M | Amazon | 13* | -- | 32 | 2.85 | 18.65 | |
K2-V2 (medium) | 512k | MBZUAI Institute of Foundation Models | 12* | -- | -- | -- | -- | |
Llama Nemotron Super 49B v1.5 | 128k | NVIDIA | 12* | -- | 81 | 5.85 | 36.73 | |
Mistral Small 4 | 256k | Mistral | 12* | -- | 130 | 0.93 | 4.76 | |
Tri-21B-Think | 32k |  Trillion Labs | 12* | -- | -- | -- | -- | |
Gemma 4 E4B | 128k | Google | 12 | $0.01 | 82 | 0.81 | 31.19 | |
MiniCPM5-1B | 128k |  OpenBMB | 12* | -- | -- | -- | -- | |
Sarvam 105B (high) | 128k |  Sarvam | 12* | -- | -- | -- | -- | |
Nova 2.0 Lite | 1M | Amazon | 12* | -- | 152 | 1.08 | 4.37 | |
Celeris-1 | 131k | Celeris | 12 | -- | 2,034 | 0.69 | 0.94 | |
MiniCPM5-1B | 128k | OpenBMB | 12* | -- | -- | -- | -- | |
Magistral Small 1.2 | 128k | Mistral | 11 | $0.29 | 137 | 0.84 | 19.10 | |
Nanbeige4.1-3B | 256k |  Nanbeige | 11 | -- | -- | -- | -- | |
Ministral 3 14B | 256k | Mistral | 11 | $0.16 | 95 | 0.87 | 6.14 | |
EXAONE 4.0 32B | 131k | LG AI Research | 11* | -- | -- | -- | -- | |
Nova 2.0 Omni | 1M | Amazon | 11* | -- | -- | -- | -- | |
Llama 4 Scout | 10M | Meta | 10 | $0.01 | 126 | 0.81 | 4.79 | |
Hermes 4 70B | 128k |  Nous Research | 10* | -- | 89 | 1.39 | 29.41 | |
Falcon-H1R-7B | 256k |  TII UAE | 10* | -- | -- | -- | -- | |
Gemma 4 E2B | 128k | Google | 10 | -- | -- | -- | -- | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | 10* | -- | 102 | 1.99 | 26.62 | |
Step3 VL 10B | 65.5k | StepFun | 9* | -- | -- | -- | -- | |
Llama 3.3 70B | 128k | Meta | 9 | $0.09 | 81 | 1.56 | 7.72 | |
Llama Nemotron Ultra | 128k | NVIDIA | 9* | -- | 52 | 2.34 | 50.08 | |
ERNIE 4.5 300B A47B | 131k | Baidu | 9* | -- | -- | -- | -- | |
Hermes 4 405B | 128k | Nous Research | 9* | -- | 32 | 2.63 | 81.09 | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | 9* | -- | 86 | 7.19 | 36.26 | |
Ministral 3 8B | 256k | Mistral | 9 | $0.18 | 118 | 0.73 | 4.97 | |
Gemma 4 E4B | 128k | Google | 9* | -- | 82 | 0.80 | 6.86 | |
Granite 4.1 30B | 131k |  IBM | 9 | -- | -- | -- | -- | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | 9* | -- | 180 | 5.20 | 19.08 | |
Hermes 4 405B | 128k | Nous Research | 9* | -- | 35 | 2.36 | 16.45 | |
NVIDIA Nemotron 3 Nano 4B | 262k | NVIDIA | 9 | -- | -- | -- | -- | |
Llama Nemotron Super 49B v1.5 | 128k | NVIDIA | 9* | -- | 98 | 6.45 | 11.53 | |
K2-V2 (low) | 512k | MBZUAI Institute of Foundation Models | 9* | -- | -- | -- | -- | |
Kimi Linear 48B A3B Instruct | 1M | Kimi | 9* | -- | -- | -- | -- | |
Llama 3.1 405B | 128k | Meta | 9* | -- | -- | -- | -- | |
LFM2.5-8B-A1B | 32.8k | Liquid AI | 8* | -- | 338 | 1.46 | 8.85 | |
Ring-flash-2.0 | 128k | InclusionAI | 8* | -- | -- | -- | -- | |
Olmo 3.1 32B Think | 65.5k |  Allen Institute for AI | 8* | -- | -- | -- | -- | |
Command A | 256k | Cohere | 8* | -- | 59 | 1.84 | 10.32 | |
Qwen3.5 2B | 262k | Alibaba | 8 | -- | -- | -- | -- | |
Llama 3.1 Nemotron 70B | 128k | NVIDIA | 8* | -- | 116 | 6.63 | 10.95 | |
NVIDIA Nemotron 3 Nano | 1M | NVIDIA | 7* | -- | 192 | 0.98 | 3.58 | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | 7* | -- | 171 | 1.41 | 4.34 | |
Hermes 4 70B | 128k | Nous Research | 7* | -- | 93 | 1.36 | 6.74 | |
Ministral 3 3B | 256k | Mistral | 7 | $0.13 | 206 | 0.66 | 3.09 | |
Granite 4.1 8B | 131k | IBM | 7* | -- | 103 | 0.79 | 5.62 | |
Sarvam 30B (high) | 65.5k | Sarvam | 7* | -- | -- | -- | -- | |
Olmo 3.1 32B Instruct | 65.5k | Allen Institute for AI | 6* | -- | -- | -- | -- | |
Gemma 4 E2B | 128k | Google | 6* | -- | -- | -- | -- | |
R1 1776 | 128k |  Perplexity | 6* | -- | -- | -- | -- | |
Llama 3.2 90B (Vision) | 128k | Meta | 6* | -- | -- | -- | -- | |
Phi-4 Mini | 128k |  Microsoft | 6 | $0.00 | 43 | 0.84 | 12.53 | |
EXAONE 4.0 32B | 131k | LG AI Research | 6* | -- | -- | -- | -- | |
Qwen3.5 2B | 262k | Alibaba | 6 | -- | -- | -- | -- | |
Qwen3.5 0.8B | 262k | Alibaba | 5 | -- | -- | -- | -- | |
DeepHermes 3 - Mistral 24B | 32k | Nous Research | 5* | -- | -- | -- | -- | |
Jamba 1.7 Large | 256k |  AI21 Labs | 5* | -- | 55 | 1.42 | 10.49 | |
Granite 4.0 H Small | 128k | IBM | 5* | -- | 46 | 10.49 | 21.45 | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | 5* | -- | 95 | 1.89 | 7.13 | |
LFM2 24B A2B | 32.8k | Liquid AI | 5* | -- | -- | -- | -- | |
Phi-4 | 16k | Microsoft | 5* | -- | -- | -- | -- | |
Nova Micro | 130k | Amazon | 5* | -- | 282 | 0.86 | 2.63 | |
Granite 4.1 3B | 131k | IBM | 5 | -- | -- | -- | -- | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | 5* | -- | 182 | 1.68 | 4.43 | |
Phi-4 Multimodal | 128k | Microsoft | 5* | -- | 18 | 0.81 | 29.09 | |
MiniCPM-V 4.6 1.3B | 262k | OpenBMB | 4 | -- | -- | -- | -- | |
Jamba Reasoning 3B | 262k | AI21 Labs | 4* | -- | -- | -- | -- | |
Reka Flash 3 | 128k |  Reka AI | 4* | -- | -- | -- | -- | |
Olmo 3 7B Think | 65.5k | Allen Institute for AI | 4* | -- | -- | -- | -- | |
Molmo 7B-D | 4.1k | Allen Institute for AI | 4* | -- | -- | -- | -- | |
Ling-mini-2.0 | 131k | InclusionAI | 4* | -- | -- | -- | -- | |
Llama 3.2 11B (Vision) | 128k | Meta | 3* | -- | 37 | 1.70 | 15.08 | |
Qwen3.5 0.8B | 262k | Alibaba | 3 | -- | -- | -- | -- | |
Exaone 4.0 1.2B | 64k | LG AI Research | 3* | -- | -- | -- | -- | |
Olmo 3 7B | 65.5k | Allen Institute for AI | 3* | -- | -- | -- | -- | |
Exaone 4.0 1.2B | 64k | LG AI Research | 3* | -- | -- | -- | -- | |
LFM2.5-1.2B-Thinking | 32k | Liquid AI | 3* | -- | -- | -- | -- | |
Jamba 1.7 Mini | 258k | AI21 Labs | 3* | -- | -- | -- | -- | |
LFM2 2.6B | 32.8k | Liquid AI | 3* | -- | -- | -- | -- | |
LFM2.5-1.2B-Instruct | 32k | Liquid AI | 3* | -- | -- | -- | -- | |
Granite 4.0 H 1B | 128k | IBM | 3* | -- | -- | -- | -- | |
Gemma 3 270M | 32k | Google | 2* | -- | -- | -- | -- | |
Apertus 70B Instruct | 65.5k |  Swiss AI Initiative | 2* | -- | -- | -- | -- | |
Granite 4.0 Micro | 128k | IBM | 2* | -- | -- | -- | -- | |
DeepHermes 3 - Llama-3.1 8B | 128k | Nous Research | 2* | -- | -- | -- | -- | |
Granite 4.0 1B | 128k | IBM | 2* | -- | -- | -- | -- | |
Molmo2-8B | 36.9k | Allen Institute for AI | 2* | -- | -- | -- | -- | |
LFM2 8B A1B | 32.8k | Liquid AI | 2* | -- | -- | -- | -- | |
LFM2.5-VL-1.6B | 32k | Liquid AI | 1* | -- | 474 | 1.25 | 2.30 | |
Granite 4.0 350M | 32.8k | IBM | 1* | -- | -- | -- | -- | |
Tiny Aya Global | 8.19k | Cohere | 1* | -- | -- | -- | -- | |
Apertus 8B Instruct | 65.5k | Swiss AI Initiative | 1* | -- | -- | -- | -- | |
Granite 4.0 H 350M | 32.8k | IBM | 1* | -- | -- | -- | -- | |
Claude Sonnet 5 (low) | 1M | Anthropic | -- | -- | 61 | 1.68 | 9.88 | |
EXAONE 4.5 33B | 262k | LG AI Research | -- | -- | -- | -- | -- | |
Claude Sonnet 5 (xhigh) | 1M | Anthropic | -- | -- | 71 | 36.78 | 43.78 | |
Gemini 3 Deep Think | 128k | Google | -- | -- | -- | -- | -- | |
Claude Sonnet 5 (high) | 1M | Anthropic | -- | -- | 68 | 10.56 | 17.96 | |
Mi:dm K 2.5 Pro Preview | 128k | Korea Telecom | -- | -- | -- | -- | -- | |
GPT-5.5 Pro (xhigh) | 922k | OpenAI | -- | -- | -- | -- | -- | |
Cogito v2.1 | 128k |  Deep Cogito | -- | -- | -- | -- | -- | |
Claude Sonnet 5 (medium) | 1M | Anthropic | -- | -- | 64 | 3.64 | 11.50 | |
Wichtige Definitionen
Häufig gestellte Fragen
Claude Opus 5 (Adaptive Reasoning, Max Effort) belegt derzeit Platz 1 der Artificial Analysis LLM-Bestenliste. Das Modell erreicht im Intelligence Index einen Wert von 61; insgesamt werden 175 Modelle gelistet.
Die nach dem Intelligence Index führenden Modelle sind: 1. Claude Opus 5 (Adaptive Reasoning, Max Effort) (61), 2. Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) (60), 3. Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) (60), 4. GPT-5.6 Sol (max) (59), 5. Claude Opus 5 (Adaptive Reasoning, High Effort) (59).
Celeris-1 ist mit 2,033.7 Tokens pro Sekunde am schnellsten, gefolgt von Mercury 2 (741.8 t/s) und LFM2.5-VL-1.6B (474.5 t/s).
GPT-5.6 Luna (low) hat mit $0.01 die niedrigsten Kosten pro Aufgabe des Intelligence Index, gefolgt von MiMo-V2.5 ($0.01) und Llama 4 Scout ($0.01).
Kimi K3 (max) ist mit einem Intelligence-Index-Wert von 57 das am höchsten platzierte Modell mit offenen Gewichten. Von insgesamt 175 Modellen in der Bestenliste haben 99 offene Gewichte.
Die nach dem Intelligence Index führenden Modelle mit offenen Gewichten sind: 1. Kimi K3 (max) (57), 2. GLM-5.2 (max) (51), 3. DeepSeek V4 Flash 0731 (Reasoning, Max Effort) (50).
Claude Opus 5 (Adaptive Reasoning, Max Effort) führt mit einem Intelligence-Index-Wert von 61 unter 130 Reasoning-Modellen. Reasoning-Modelle nutzen ausführliches Schlussfolgern, um komplexe Probleme vor der Antwort zu lösen.
Die Bestenliste bietet Filter nach Modelltyp (Reasoning oder kein Reasoning), Offenheit (offene Gewichte oder proprietär) und weiteren Kriterien. Sie können außerdem die Prompt-Optionen anpassen, um zu sehen, wie sich die Leistung bei unterschiedlichen Eingabelängen verändert.
Klicken Sie in der Bestenliste auf einen Modellnamen, um die zugehörige Vergleichsseite mit detaillierten Diagrammen zu Intelligenz, Preisen, Geschwindigkeit, Latenz und weiteren Metriken aufzurufen. Sie können außerdem die API-Anbieter jedes Modells vergleichen. Alle Modelle anzeigen