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 (Zeit pro Aufgabe in Minuten und Latenz als Zeit bis zum ersten Antworttoken), Kontextfenster und weiteren Kriterien.
Weitere Details, auch zu unserer Methodik, finden Sie in unseren FAQs.
Intelligenz
Gemini 4 Carbon (high) und Claude Opus 5.5 (max) weisen die höchste Intelligenz auf, gefolgt von Gemini 4 Carbon (medium) und Claude Opus 5.5 (xhigh).
Zeit pro Aufgabe
GPT-6 Luna (low) und GPT-6.1 Terra (low) haben die niedrigste Zeit pro Aufgabe, gefolgt von Mistral Small 4 und Gemini 3.5 Flash-Lite.
Zeit bis zum ersten Antworttoken
Tiny Aya Global und Phi-4 Multimodal haben die kürzeste Zeit bis zum ersten Antworttoken, gefolgt von NVIDIA Nemotron Nano 9B V2 und Nemotron 3 Nano (non-reasoning).
Kosten pro Aufgabe
K2 Horizon 375B A23B und Command A+ haben die niedrigsten Kosten pro Aufgabe, gefolgt von North Mini Code und GPT-6 Luna (low).
Kontextfenster
Llama 4 Scout und GPT-6 Sol (Daybreak Blue, max) unterstützen die größten Kontextfenster, gefolgt von Muse Wonder (max) und Muse Wonder (high).
Weitere Analyse | |||||||
|---|---|---|---|---|---|---|---|
Gemini 4 Carbon (high) | 1M | Google | 60 | $7.76 | 28.3 | 73.95 | |
Claude Opus 5.5 (max) | 1M | Anthropic | 59 | $10.04 | 25.4 | 411.05 | |
Gemini 4 Carbon (medium) | 1M | Google | 58 | $6.59 | 24.4 | 29.66 | |
Claude Opus 5.5 (xhigh) | 1M | Anthropic | 57 | $6.05 | 16.4 | 94.28 | |
GPT-6 Astra (max) | 1M | OpenAI | 57 | $6.24 | 22.6 | 264.68 | |
GPT-6 Astra (xhigh) | 1M | OpenAI | 55 | $3.66 | 11.6 | 117.79 | |
GPT-6 Astra (high) | 1M | OpenAI | 55 | $3.24 | 9.8 | 71.37 | |
GPT-6.1 Sol (max) | 1M | OpenAI | 55 | $1.27 | 19.9 | 174.61 | |
Claude Sonnet 5.5 (max) | 1M | Anthropic | 55 | $10.02 | 31.5 | 307.65 | |
Gemini 4 Carbon (low) | 1M | Google | 54 | $7.19 | 23.2 | 9.14 | |
GPT-6.1 Sol (xhigh) | 1M | OpenAI | 52 | $0.76 | 9.3 | 69.85 | |
Claude Opus 5.5 (high) | 1M | Anthropic | 52 | $3.46 | 9.6 | 31.55 | |
GPT-6 Astra (medium) | 1M | OpenAI | 52 | $2.73 | 6.9 | 6.18 | |
GPT-6.1 Terra (max) | 1M | OpenAI | 51 | $0.96 | 13.6 | 160.98 | |
Gemini 4 Argon (high) | 1M | Google | 50 | $9.95 | 29.4 | 37.84 | |
GPT-6.1 Sol (high) | 1M | OpenAI | 50 | $0.59 | 6.5 | 36.64 | |
Muse Wonder Full (max) | 1M | Meta | 50 | -- | -- | -- | |
Claude Fable 5.1 (xhigh) | 1M | Anthropic | 50 | $10.85 | 19.1 | 65.58 | |
Claude Sonnet 5.5 (xhigh) | 1M | Anthropic | 50 | $4.09 | 15.2 | 27.50 | |
Claude Fable 5.1 (max) | 1M | Anthropic | 49 | $12.99 | 22.7 | 183.71 | |
Claude Opus 5.5 (medium) | 1M | Anthropic | 48 | $2.45 | 7.1 | 14.71 | |
Claude Fable 5.1 (high) | 1M | Anthropic | 47 | $7.54 | 13.2 | 14.23 | |
Kimi K3.1 Pro | 1M |  Kimi | 46 | $3.68 | 38.0 | 178.18 | |
GPT-6.1 Sol (medium) | 1M | OpenAI | 46 | $0.36 | 3.7 | 4.39 | |
GPT-6.1 Terra (xhigh) | 1M | OpenAI | 45 | $0.40 | 6.1 | 30.48 | |
Muse Wonder (max) | 1M | Meta | 44 | $6.95 | 13.2 | 22.59 | |
GPT-6 Astra (low) | 1M | OpenAI | 43 | $1.42 | 3.6 | 3.36 | |
Claude Fable 5.1 (medium) | 1M | Anthropic | 43 | $5.56 | 9.7 | 10.22 | |
GPT-6.1 Terra (high) | 1M | OpenAI | 42 | $0.26 | 4.0 | 10.67 | |
Claude Sonnet 5.5 (high) | 1M | Anthropic | 42 | $1.64 | 7.2 | 9.34 | |
Muse Wonder (high) | 1M | Meta | 41 | $4.56 | 9.2 | 8.88 | |
Claude Fable 5.1 (low) | 1M | Anthropic | 39 | $4.47 | 7.4 | 6.90 | |
GPT-6.1 Terra (medium) | 1M | OpenAI | 38 | $0.17 | 2.6 | 4.22 | |
Claude Haiku 5.5 (max) | 1M | Anthropic | 36 | $0.41 | 16.2 | 187.65 | |
Grok 4.7 (xhigh) | 500k |  SpaceXAI | 35 | $7.77 | 26.1 | 57.82 | |
Grok 4.7 (high) | 500k | SpaceXAI | 35 | $6.18 | 21.8 | 35.88 | |
GPT-6.1 Sol (low) | 1M | OpenAI | 35 | $0.16 | 1.8 | 2.47 | |
Claude Opus 5.5 (low) | 1M | Anthropic | 35 | $0.98 | 3.0 | 6.38 | |
Claude Haiku 5.5 (xhigh) | 1M | Anthropic | 35 | $0.25 | 9.7 | 54.15 | |
Tencent Hy4 | 1M |  Tencent | 35 | $1.03 | 13.9 | 103.27 | |
Qwen3.8 Max (0902) | 984k |  Alibaba | 34 | $10.02 | 60.3 | 117.48 | |
DeepSeek V4.1 Flash 1017 (max) | 1M |  DeepSeek | 33 | $0.60 | 16.0 | 53.45 | |
GLM-5.3 (max) | 1M |  Z AI | 32 | $5.01 | 29.4 | 81.98 | |
Grok 4.7 (low) | 500k | SpaceXAI | 31 | $2.92 | 10.8 | 12.70 | |
Gemini 3.8 Flash (high) | 1M | Google | 31 | $7.77 | 14.7 | 17.50 | |
Claude Sonnet 5.5 (medium) | 1M | Anthropic | 31 | $0.78 | 3.7 | 4.21 | |
Inkling 2 Small | 1M |  Thinking Machines | 31 | $1.18 | 16.1 | 28.82 | |
GPT-6.1 Terra (non-reasoning) | 1M | OpenAI | 31 | $0.23 | 2.2 | 1.64 | |
Gemini 3.8 Flash (medium) | 1M | Google | 30 | $6.26 | 12.2 | 10.41 | |
MiMo-V2.6-Pro | 1M |  Xiaomi | 30 | $0.26 | 39.6 | 26.50 | |
Claude Haiku 5.5 (high) | 1M | Anthropic | 30 | $0.16 | 6.5 | 21.09 | |
Ling 3.1 Flash 1019 | 1M |  InclusionAI | 30 | $3.19 | -- | -- | |
GPT-6.1 Terra (low) | 1M | OpenAI | 29 | $0.07 | 1.1 | 2.20 | |
MiniMax-M3.1-Flash | 1M |  MiniMax | 29 | $0.49 | 14.3 | 49.61 | |
DeepSeek V4.1 Flash 1017 (high) | 1M | DeepSeek | 29 | $0.46 | 12.5 | 24.70 | |
Step 5 Preview | 1M |  StepFun | 29 | $2.35 | 14.0 | 21.00 | |
GPT-6 Luna (max) | 1M | OpenAI | 28 | $0.15 | 12.3 | 93.00 | |
GLM-5.3-Flash | 1M | Z AI | 28 | $0.58 | 45.2 | 93.39 | |
MiMo-V2.6-Flash | 1M | Xiaomi | 27 | $0.13 | 62.4 | 48.28 | |
Mistral Large 4 (high) | 1M | Mistral | 26 | $2.06 | 12.2 | 31.43 | |
Claude Sonnet 5.5 (low) | 1M | Anthropic | 26 | $0.51 | 2.6 | 2.35 | |
Muse Spark Open (xhigh) | 1M | Meta | 25 | $2.02 | 5.8 | 10.38 | |
Claude Haiku 5.5 (medium) | 1M | Anthropic | 25 | $0.09 | 4.1 | 10.16 | |
Agnes 2.5 Pro Theta | 1M |  Sapiens AI | 24 | $0.57 | 22.0 | 21.96 | |
GPT-6 Luna (xhigh) | 1M | OpenAI | 23 | $0.10 | 7.2 | 23.09 | |
Mistral Large 4 (medium) | 1M | Mistral | 23 | $1.41 | 8.9 | 20.97 | |
GLM-5.3 (low) | 1M | Z AI | 23 | $1.57 | 16.4 | 13.01 | |
DeepSeek V4 Pro 0813 (max) | 1M | DeepSeek | 23 | $1.77 | 24.6 | 80.27 | |
Gemini 3.8 Flash (low) | 1M | Google | 23 | -- | -- | 3.79 | |
GPT-6 Luna (high) | 1M | OpenAI | 21 | $0.07 | 5.6 | 11.75 | |
Nanbeige4.3-33B | 524k |  Nanbeige | 20 | -- | -- | -- | |
Qwen3.8 27B (xhigh) | 256k | Alibaba | 20 | $3.53 | 40.5 | 119.62 | |
MiniMax-M3 | 1M | MiniMax | 19 | $1.29 | 12.2 | 72.48 | |
Claude Haiku 5.5 (low) | 1M | Anthropic | 19 | $0.04 | 2.2 | 6.93 | |
DeepSeek V4.1 Flash 1017 (non-reasoning) | 1M | DeepSeek | 19 | $0.43 | 8.6 | 1.32 | |
GPT-6 Luna (medium) | 1M | OpenAI | 18 | $0.04 | 3.4 | 5.41 | |
K2 Horizon 375B A23B | 524k | Institute of Foundation Models | 18 | $0.00 | 5.5 | 27.36 | |
Beam 1.0 | 1M |  Reflection | 18 | $0.28 | 2.3 | 7.34 | |
Qwen3.8 27B (medium) | 256k | Alibaba | 17 | $2.16 | 32.9 | 32.81 | |
Qwen3.8 27B (low) | 256k | Alibaba | 16 | $1.91 | 28.6 | 18.32 | |
Nemotron 3.5 Super VL | 1M | NVIDIA | 14 | $0.52 | 5.4 | 14.23 | |
Inkling Small | 1M | Thinking Machines | 13 | $0.20 | 8.0 | 29.41 | |
DeepSeek V4 Pro 0813 (non-reasoning) | 1M | DeepSeek | 13 | $0.98 | 16.7 | 3.42 | |
Inkling (xhigh) | 1M | Thinking Machines | 12 | $1.35 | 7.9 | 17.51 | |
Nemotron 3 Ultra | 262k | NVIDIA | 12 | $2.23 | 4.8 | 4.04 | |
Gemini 3.5 Flash-Lite | 1M | Google | 12 | $0.69 | 1.7 | 4.07 | |
Qwen3.8 27B (non-reasoning) | 256k | Alibaba | 10 | $3.77 | 18.5 | 5.30 | |
GPT-6 Luna (low) | 1M | OpenAI | 10 | $0.01 | 0.6 | 2.50 | |
GPT-6 Luna (non-reasoning) | 1M | OpenAI | 9 | $0.07 | 2.1 | 1.16 | |
K-EXAONE 2.0 | 262k |  LG AI Research | 8 | -- | -- | -- | |
Muse Glimmer (high) | 131k | Meta | 6 | $0.16 | 4.5 | 17.50 | |
Command A+ | 192k | Cohere | 6 | $0.00 | 3.1 | 14.45 | |
Nemotron 3.5 Lightning | 1M | NVIDIA | 6 | $0.29 | 4.2 | 13.21 | |
Granite 4.2 8B | 131k |  IBM | 5 | $0.04 | 8.7 | 38.63 | |
Granite 4.2 3B | 131k | IBM | 5 | -- | -- | -- | |
Mistral Medium 3.5 | 256k | Mistral | 5 | $1.04 | 4.9 | 27.08 | |
Gemma 4 31B | 256k | Google | 4 | -- | -- | 64.58 | |
Mistral Small 4 | 256k | Mistral | 4 | $0.04 | 1.6 | 13.09 | |
North Mini Code | 256k | Cohere | 3 | $0.00 | 3.3 | 7.69 | |
Nemotron 3 Nano 4B | 262k | NVIDIA | 2 | -- | -- | -- | |
JT-35B-Flash | 256k |  China Mobile | -- | -- | -- | -- | |
Qwen3.5 Omni Plus | 256k | Alibaba | -- | -- | -- | 2.83 | |
Nova 2.0 Omni (medium) | 1M |  Amazon | -- | -- | -- | -- | |
Qwen3.5 122B A10B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 4.50 | |
Gemma 4 12B (non-reasoning) | 262k | Google | -- | -- | -- | 3.88 | |
Gemma 3 270M | 32k | Google | -- | -- | -- | -- | |
Apodex 1.1 | 256k |  Apodex | -- | -- | -- | 14.78 | |
Qwen3.5 2B (non-reasoning) | 262k | Alibaba | -- | -- | -- | -- | |
Qwen3 Omni 30B A3B | 66k | Alibaba | -- | -- | -- | 1.28 | |
Nova 2.0 Pro Preview (medium) | 256k | Amazon | -- | -- | -- | 12.21 | |
Qwen3.5 397B A17B | 262k | Alibaba | -- | -- | -- | 40.24 | |
Granite 4.2 30B | 131k | IBM | -- | -- | -- | -- | |
K2 Horizon 7B | 524k | Institute of Foundation Models | -- | -- | -- | -- | |
Mistral Small 4 (non-reasoning) | 256k | Mistral | -- | -- | -- | 1.77 | |
Solar Pro 4 | 512k |  Upstage | -- | -- | -- | 42.97 | |
gpt-oss-20b (low) | 131k | OpenAI | -- | -- | -- | 3.44 | |
o3 | 200k | OpenAI | -- | -- | -- | 5.51 | |
Nova 2.0 Omni (non-reasoning) | 1M | Amazon | -- | -- | -- | -- | |
Granite 4.0 Micro | 128k | IBM | -- | -- | -- | -- | |
Qwen3.5 9B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 1.02 | |
Qwen3.5 122B A10B | 262k | Alibaba | -- | -- | -- | 19.15 | |
Hermes 4 70B (non-reasoning) | 128k |  Nous Research | -- | -- | -- | -- | |
Nemotron 3 Nano (non-reasoning) | 1M | NVIDIA | -- | -- | -- | 0.91 | |
Qwen3 Next 80B A3B | 262k | Alibaba | -- | -- | -- | 1.45 | |
Phi-4 Multimodal | 128k | Microsoft | -- | -- | -- | 0.37 | |
Qwen3.5 9B | 262k | Alibaba | -- | -- | -- | 38.37 | |
NVIDIA Nemotron Nano 9B V2 (non-reasoning) | 131k | NVIDIA | -- | -- | -- | 1.15 | |
EXAONE 4.0 32B (non-reasoning) | 131k | LG AI Research | -- | -- | -- | -- | |
G9v3-3B | 131k |  AI9Stars | -- | -- | -- | -- | |
Qwen3.5 4B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 1.38 | |
Qwen3.5 397B A17B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 2.63 | |
K2 Horizon 3.7B | 524k | Institute of Foundation Models | -- | -- | -- | -- | |
Olmo 3 7B Think | 66k |  Allen Institute for AI | -- | -- | -- | -- | |
HyperCLOVA X SEED Think (32B) | 128k |  Naver | -- | -- | -- | -- | |
HyperNova 60B 2605 (high) | 131k |  Multiverse Computing | -- | -- | -- | -- | |
Nova Micro | 130k | Amazon | -- | -- | -- | 1.32 | |
EXAONE 4.5 33B (non-reasoning) | 262k | LG AI Research | -- | -- | -- | -- | |
INTELLECT-3 | 131k |  Prime Intellect | -- | -- | -- | -- | |
gpt-oss-20b (high) | 131k | OpenAI | -- | -- | -- | 38.82 | |
Olmo 3.1 32B Think | 66k | Allen Institute for AI | -- | -- | -- | -- | |
Nex-N2-Pro | 262k |  Nex AGI | -- | -- | -- | -- | |
Command A | 256k | Cohere | -- | -- | -- | 9.85 | |
LFM2.5-VL-1.6B | 32k |  Liquid AI | -- | -- | -- | -- | |
JT-MINI | 128k | China Mobile | -- | -- | -- | -- | |
Molmo2-8B | 37k | 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 | -- | -- | -- | 7.67 | |
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 | 66k |  Swiss AI Initiative | -- | -- | -- | -- | |
Doubao Seed Code | 256k |  ByteDance Seed | -- | -- | -- | -- | |
EXAONE 4.5 33B | 262k | LG AI Research | -- | -- | -- | -- | |
Gemma 4 E4B (non-reasoning) | 128k | Google | -- | -- | -- | 1.58 | |
K2 Horizon MoVA 36B A4B | 524k | Institute of Foundation Models | -- | -- | -- | -- | |
Granite 4.0 350M | 33k | IBM | -- | -- | -- | -- | |
Kimi Linear 48B A3B Instruct | 1M | Kimi | -- | -- | -- | -- | |
Solar Open 100B | 128k | Upstage | -- | -- | -- | -- | |
GPT-5.3 Codex (xhigh) | 400k | OpenAI | -- | -- | -- | 45.42 | |
LFM2.5-1.2B-Thinking | 32k | Liquid AI | -- | -- | -- | -- | |
K2 Think V2 | 262k | Institute of Foundation Models | -- | -- | -- | -- | |
LongCat 2.0 | 1M |  LongCat | -- | -- | -- | 34.38 | |
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 | -- | -- | -- | 4.21 | |
LongCat Flash Lite | 256k | LongCat | -- | -- | -- | -- | |
Nemotron 3.5 Bolt E4B 4GB | 131k | NVIDIA | -- | -- | -- | -- | |
Nova 2.0 Lite (high) | 1M | Amazon | -- | -- | -- | 18.07 | |
Solar Mini 4 | 1M | Upstage | -- | -- | -- | 59.89 | |
MiniCPM5-2B | 131k | OpenBMB | -- | -- | -- | -- | |
Qwen3.5 4B | 262k | Alibaba | -- | -- | -- | 111.46 | |
Motif-2-12.7B | 128k |  Motif Technologies | -- | -- | -- | -- | |
Qwen3.6 35B A3B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 3.20 | |
Ministral 3 3B | 256k | Mistral | -- | -- | -- | 1.51 | |
Hermes 4 70B | 128k | Nous Research | -- | -- | -- | -- | |
Ling-3.0-flash-Fin | 262k | InclusionAI | -- | -- | -- | -- | |
Gemma 4 26B A4B | 256k | Google | -- | -- | -- | 24.13 | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | -- | -- | -- | -- | |
Qwen3.5 Omni Flash | 256k | Alibaba | -- | -- | -- | 2.96 | |
Nova 2.0 Lite (low) | 1M | Amazon | -- | -- | -- | 8.58 | |
Magistral Small 1.2 | 128k | Mistral | -- | -- | -- | 2.91 | |
Gemma 4 26B A4B (non-reasoning) | 256k | Google | -- | -- | -- | 1.55 | |
Ministral 3 14B | 256k | Mistral | -- | -- | -- | 2.53 | |
Gemma 4 E2B (non-reasoning) | 128k | Google | -- | -- | -- | -- | |
Sarvam 30B (high) | 66k | Sarvam | -- | -- | -- | -- | |
Mercury 2.5 | 260k |  Inception | -- | -- | -- | 2.37 | |
Nova 2.0 Lite (non-reasoning) | 1M | Amazon | -- | -- | -- | 1.56 | |
Nemotron 3 Nano | 1M | NVIDIA | -- | -- | -- | 7.41 | |
DeepSeek V4 Flash Vision (max) | 1M | DeepSeek | -- | -- | -- | 59.47 | |
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 | 1M | Upstage | -- | -- | -- | -- | |
Ling 3.0 Tiny | 262k | InclusionAI | -- | -- | -- | 22.34 | |
Celeris-1 | 131k |  Celeris | -- | -- | -- | 1.34 | |
Tiny Aya Global | 8k | Cohere | -- | -- | -- | 0.22 | |
A.X-K2 | 262k |  SK Telecom | -- | -- | -- | -- | |
Exaone 4.0 1.2B (non-reasoning) | 64k | LG AI Research | -- | -- | -- | -- | |
Hermes 4 405B | 128k | Nous Research | -- | -- | -- | 18.83 | |
Magistral Medium 1.2 | 128k | Mistral | -- | -- | -- | -- | |
Qwen3.6 35B A3B | 262k | Alibaba | -- | -- | -- | 19.82 | |
Apertus 8B Instruct | 66k | Swiss AI Initiative | -- | -- | -- | -- | |
Nemotron 3 Nano Omni 30B A3B | 256k | NVIDIA | -- | -- | -- | 16.00 | |
Kimi K2.7 Code | 256k | Kimi | -- | -- | -- | 34.52 | |
Qwen3.8 2.4T A95B | 262k | Alibaba | -- | -- | -- | 125.09 | |
Olmo 3 7B | 66k | Allen Institute for AI | -- | -- | -- | -- | |
JT-4.1 Flash 236B A21B (non-reasoning) | 262k | China Mobile | -- | -- | -- | -- | |
Llama 4 Maverick | 1M | Meta | -- | -- | -- | 1.37 | |
GPT-6 Sol (Daybreak Blue, max) | 1M | OpenAI | -- | -- | -- | -- | |
Olmo 3.1 32B Instruct | 66k | Allen Institute for AI | -- | -- | -- | -- | |
Ministral 3 8B | 256k | Mistral | -- | -- | -- | 2.18 | |
Llama 3.3 70B | 128k | Meta | -- | -- | -- | 1.76 | |
Nemotron Cascade 2 30B A3B | 1M | NVIDIA | -- | -- | -- | -- | |
R1 1776 | 128k |  Perplexity | -- | -- | -- | -- | |
Qwen3.8-Flash-Next | 256k | Alibaba | -- | -- | -- | 100.78 | |
Llama 3.2 90B (Vision) | 128k | Meta | -- | -- | -- | -- | |
K2 Horizon 0.9B | 131k | Institute of Foundation Models | -- | -- | -- | -- | |
Phi-4 Mini | 128k | Microsoft | -- | -- | -- | 4.51 | |
Nova 2.0 Pro Preview (non-reasoning) | 256k | Amazon | -- | -- | -- | 1.42 | |
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 | -- | -- | -- | 38.72 | |
Granite 4.0 H 350M | 33k | IBM | -- | -- | -- | -- | |
Qwen3.5 0.8B | 262k | Alibaba | -- | -- | -- | -- | |
Apriel-v1.6-15B-Thinker | 128k |  ServiceNow | -- | -- | -- | -- | |
Qwen3.7 Plus | 1M | Alibaba | -- | -- | -- | 42.16 | |
DeepHermes 3 - Mistral 24B (non-reasoning) | 32k | Nous Research | -- | -- | -- | -- | |
NVIDIA Nemotron Nano 12B v2 VL (non-reasoning) | 128k | NVIDIA | -- | -- | -- | 1.63 | |
Step3 VL 10B | 66k | StepFun | -- | -- | -- | -- | |
Llama 4 Scout | 10M | Meta | -- | -- | -- | 1.12 | |
ERNIE 4.5 300B A47B | 131k | Baidu | -- | -- | -- | -- | |
Molmo 7B-D | 4k | Allen Institute for AI | -- | -- | -- | -- | |
Motif 3 | 262k | Motif Technologies | -- | -- | -- | -- | |
Gemma 4 E2B | 128k | Google | -- | -- | -- | -- | |
Hy3 | 256k | Tencent | -- | -- | -- | 47.12 | |
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 | 66k | Alibaba | -- | -- | -- | 23.43 | |
Gemini 3.1 Pro Preview | 1M | Google | -- | -- | -- | 16.12 | |
G9v3-39A5B | 131k | AI9Stars | -- | -- | -- | -- | |
DiffusionGemma 26B A4B | 256k | Google | -- | -- | -- | -- | |
GPT-5.5 Instant (June 2026) | 400k | OpenAI | -- | -- | -- | 1.39 | |
Falcon-H1R-7B | 256k |  TII UAE | -- | -- | -- | -- | |
Qwen3 Next 80B A3B | 262k | Alibaba | -- | -- | -- | -- | |
gpt-oss-120b (low) | 131k | OpenAI | -- | -- | -- | 2.20 | |
Llama Nemotron Ultra | 128k | NVIDIA | -- | -- | -- | -- | |
Gemma 4 31B (non-reasoning) | 256k | Google | -- | -- | -- | 3.89 | |
MiniCPM5-1B (non-reasoning) | 128k | OpenBMB | -- | -- | -- | -- | |
Hermes 4 405B (non-reasoning) | 128k | Nous Research | -- | -- | -- | 5.15 | |
Exaone 4.0 1.2B | 64k | LG AI Research | -- | -- | -- | -- | |
Gemma 4 E4B | 128k | Google | -- | -- | -- | 49.07 | |
K2-V2 (low) | 512k | Institute of Foundation Models | -- | -- | -- | -- | |
Granite 4.0 H 1B | 128k | IBM | -- | -- | -- | -- | |
Reka Flash 3 | 128k |  Reka AI | -- | -- | -- | 8.27 | |
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 | 33k | 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 | -- | -- | -- | 8.83 | |
Phi-4 | 16k | Microsoft | -- | -- | -- | 2.47 | |
gpt-oss-120b (high) | 131k | OpenAI | -- | -- | -- | 15.68 | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | -- | -- | -- | 0.79 | |
Agnes 2.5 Pro Beta | 1M | Sapiens AI | -- | -- | -- | -- | |
Nova 2.0 Pro Preview (low) | 256k | Amazon | -- | -- | -- | 6.25 | |
Jamba Reasoning 3B | 262k | AI21 Labs | -- | -- | -- | -- | |
Quasar 438B (max) | 1M | Multiverse Computing | -- | -- | -- | -- | |
LFM2 24B A2B | 33k | Liquid AI | -- | -- | -- | -- | |
Nova 2.0 Lite (medium) | 1M | Amazon | -- | -- | -- | 20.39 | |
KAT-Coder-Pro V2 | 256k |  KwaiKAT | -- | -- | -- | -- | |
Qwen3 Coder Next | 256k | Alibaba | -- | -- | -- | 1.34 | |
Gemma 4 12B | 262k | Google | -- | -- | -- | 26.67 | |
Wichtige Definitionen
Häufig gestellte Fragen
Gemini 4 Carbon (High) belegt derzeit Platz 1 der Artificial Analysis LLM-Bestenliste. Das Modell erreicht im Intelligence Index einen Wert von 60; insgesamt werden 100 Modelle gelistet.
Die nach dem Intelligence Index führenden Modelle sind: 1. Gemini 4 Carbon (High) (60), 2. Claude Opus 5.5 (Max, Default Fallback) (59), 3. Gemini 4 Carbon (Medium) (58), 4. Claude Opus 5.5 (Xhigh, Default Fallback) (57), 5. GPT-6 Astra (Max) (57).
GPT-6 Luna (Low) ist mit der niedrigsten Zeit pro Aufgabe von 0.6 Minuten pro Aufgabe des Intelligence Index am schnellsten, gefolgt von GPT-6.1 Terra (Low) (1.1 Min.) und Mistral Small 4 (Reasoning) (1.6 Min.). Niedriger ist besser.
K2 Horizon 375B A23B hat mit $0.00 die niedrigsten Kosten pro Aufgabe des Intelligence Index, gefolgt von Command A+ ($0.00) und North Mini Code ($0.00).
Kimi K3.1 Pro ist mit einem Wert von 46 im Intelligence Index das am höchsten platzierte Modell mit offenen Gewichten. Von insgesamt 100 Modellen in der Bestenliste haben 40 offene Gewichte.
Die nach dem Intelligence Index führenden Modelle mit offenen Gewichten sind: 1. Kimi K3.1 Pro (46), 2. DeepSeek V4.1 Flash 1017 (Max) (33), 3. GLM-5.3 (Max) (32).
Gemini 4 Carbon (High) führt mit einem Wert von 60 im Intelligence Index unter 95 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.
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