1Muse Spark 1.3OpenMetaintelligence48.1Task $1.60Response 64s1.0M context1 provider
Model discovery workbench
Move from a crowded market to a defensible shortlist. Rank models by capability, task economics, speed, context, and real provider availability.
- Models
- 163
- Providers
- 104
- Provider data fetched
- Oct 12, 2026, 18:29 UTC
- Method
- Index v4.3
- Newest release
- Oct 7, 2026
Model rankings
98 results · sorted by intelligence
| # | Details | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Muse Spark 1.3OpenMeta | 48.1 | 75.8 | 55.5 | $1.60 | 64s | 1.0M | 1 | |
| 2 | MiMo-V2.6-ProOpenXiaomi | 46.3 | N/A | N/A | $0.133 | 56s | 1.0M | 5 | |
| 3 | Qwen3.8 MaxOpenAlibaba | 45.4 | 76.2 | 56 | $5.41 | 72s | 984K | 1 | |
| 4 | Muse Spark 1.3 (Xhigh)OpenMeta | 45.1 | 76.5 | 51.5 | $1.37 | 29s | 1.0M | 1 | |
| 5 | GLM-5.3OpenZ AI | 44.8 | 74.8 | 53.1 | $2.01 | 41s | 1.0M | 24 | |
| 6 | Kimi K3OpenKimi | 43.6 | 76.2 | 50 | $2.00 | 64s | 1.0M | 17 | |
| 7 | GLM-5.3-FlashOpenZ AI | 41.8 | 71.5 | 50.9 | $0.253 | 44s | 1.0M | 23 | |
| 8 | Ling 3.1 FlashOpenInclusionAI | 41.1 | N/A | N/A | $1.00 | 14s | 1.0M | 1 | |
| 9 | Qwen3.8 2.4T A95BOpenAlibaba | 39.9 | 71.9 | 50.1 | $2.16 | 71s | 1.0M | 6 | |
| 10 | Qwen3.8-Flash-NextOpenAlibaba | 39.8 | 73.1 | 53.6 | $0.372 | 51s | 1.0M | 1 | |
| 11 | DeepSeek V4.1 FlashOpenDeepSeek | 39.5 | N/A | N/A | $0.147 | 3.4s | 1.0M | 21 | |
| 12 | MiMo-V2.6-FlashOpenXiaomi | 37.9 | N/A | N/A | $0.062 | 54s | 1.0M | 5 | |
| 13 | DeepSeek V4 Pro 0813OpenDeepSeek | 36 | 68.8 | 41.3 | $0.355 | 6.8s | 1.0M | 10 | |
| 14 | DeepSeek V4 Flash VisionOpenDeepSeek | 34.8 | 65 | 47.5 | $0.314 | 12s | 1.0M | 4 | |
| 15 | GLM-5.3 (Low)OpenZ AI | 34.3 | N/A | N/A | $0.852 | 37s | 1.0M | 5 | |
| 16 | Qwen3.8 27B (Xhigh)OpenAlibaba | 33.7 | 68.1 | 45.8 | $1.01 | 58s | 1.0M | 9 | |
| 17 | K2 Horizon 375B A23BOpenInstitute of Foundation Models | 30.5 | 61.5 | 40 | $0.0000 | 26s | 524K | 1 | |
| 18 | Kimi K3 (Low)OpenKimi | 30.1 | 72 | 29.3 | $1.15 | 62s | 1.0M | 5 | |
| 19 | MiniMax-M3OpenMiniMax | 29.2 | 58.6 | 29.5 | $0.508 | 24s | 1.0M | 13 | |
| 20 | Qwen3.8 27B (Medium)OpenAlibaba | 27.6 | 56.1 | 44.4 | $1.13 | 52s | 1.0M | 1 | |
| 21 | Quasar 438BOpenMultiverse Computing | 26.7 | 61.2 | 31.4 | $2.02 | 18s | 1.0M | 1 | |
| 22 | Qwen3.8 27B (Low)OpenAlibaba | 26.2 | 58.2 | 38.9 | $1.05 | 51s | 1.0M | 1 | |
| 23 | Kimi K2.7 CodeOpenKimi | 25.8 | 60.8 | 21 | $0.541 | 43s | 262K | 6 | |
| 24 | Inkling SmallOpenThinking Machines | 25.7 | 52.9 | 23.5 | $0.089 | 15s | 524K | 2 | |
| 25 | Hy3OpenTencent | 25.3 | 58.8 | 24.1 | $0.072 | 31s | 262K | 4 | |
| 26 | Qwen3.7 PlusOpenAlibaba | 25.2 | 55.9 | 17.5 | $0.217 | 48s | 1.0M | 1 | |
| 27 | Inkling (Xhigh)OpenThinking Machines | 25 | 52.1 | 22.5 | N/A | 15s | 1.0M | 5 | |
| 28 | Ling-3.0-flash-VLOpenInclusionAI | 24.6 | 57 | 28.7 | N/A | 20s | 262K | 1 | |
| 29 | Nemotron 3 Ultra 550B A55B (Reasoning)OpenNVIDIA | 22.9 | 49.3 | 20.1 | $0.598 | 19s | 262K | 4 | |
| 30 | Ling-3.0-flash-FinOpenInclusionAI | 22.6 | 55.6 | 27.9 | N/A | 9.5s | 262K | 1 | |
| 31 | Qwen3.5 397B A17BOpenAlibaba | 21.4 | N/A | N/A | N/A | 8.0s | 262K | 5 | |
| 32 | Qwen3.5 Omni PlusOpenAlibaba | 20.4 | N/A | N/A | N/A | 7.6s | 256K | 1 | |
| 33 | Qwen3.8 27BOpenAlibaba | 20.2 | 44.6 | 22.4 | $2.49 | 13s | 1.0M | 6 | |
| 34 | LongCat 2.0OpenLongCat | 19.1 | 45.3 | 14 | $0.146 | 40s | 262K | 1 | |
| 35 | Qwen3.5 397B A17B (Reasoning)OpenAlibaba | 18.4 | 48.2 | 8.3 | $0.475 | 44s | 262K | 6 | |
| 36 | Qwen3.6 35B A3B (Reasoning)OpenAlibaba | 18.2 | 41.9 | 13.1 | $0.475 | 48s | 262K | 7 | |
| 37 | Qwen3.5 122B A10BOpenAlibaba | 17.7 | 43.3 | N/A | N/A | 5.8s | 262K | 2 | |
| 38 | Muse Glimmer (High)OpenMeta | 17.5 | 49 | 8.5 | $0.057 | 20s | 131K | 3 | |
| 39 | Gemma 4 26B A4B (Reasoning)OpenGoogle | 16.7 | 39.3 | 2.9 | N/A | 36s | 262K | 6 | |
| 40 | Ring-2.6-1TOpenInclusionAI | 16.6 | 42.8 | 10.7 | $0.287 | 24s | 262K | 1 | |
| 41 | Qwen3.5 122B A10B (Reasoning)OpenAlibaba | 15.6 | 45.7 | 7.6 | $0.325 | 22s | 262K | 4 | |
| 42 | Qwen3.6 35B A3BOpenAlibaba | 15.2 | 28.1 | N/A | N/A | 5.7s | 262K | 6 | |
| 43 | Gemma 4 31B (Reasoning)OpenGoogle | 14.7 | 43.4 | 4.2 | $0.0000 | 65s | 262K | 11 | |
| 44 | Mistral Medium 3.5OpenMistral | 14.2 | 46.9 | 7 | $0.502 | 17s | 262K | 1 | |
| 45 | Gemma 4 12B (Reasoning)OpenGoogle | 14.2 | 31 | N/A | N/A | 25s | 262K | 1 | |
| 46 | Gemma 4 31BOpenGoogle | 13.9 | 33.2 | N/A | N/A | 13s | 262K | 10 | |
| 47 | Qwen3.5 9BOpenAlibaba | 13.3 | 23.5 | N/A | N/A | 6.0s | 262K | 1 | |
| 48 | Command A+OpenCohere | 13.1 | 27.8 | 1 | $0.0000 | 13s | 200K | 1 | |
| 49 | Qwen3.5 4B (Reasoning)OpenAlibaba | 13.1 | 22.6 | N/A | N/A | 2.1 min | 262K | 1 | |
| 50 | Gemma 4 26B A4BOpenGoogle | 13.1 | N/A | N/A | N/A | 6.1s | 262K | 7 | |
| 51 | Nemotron 3.5 LightningOpenNVIDIA | 12.9 | 26.8 | 3.5 | $0.093 | 8.8s | 1.0M | 5 | |
| 52 | Nemotron 3 Super 120B A12B (Reasoning)OpenNVIDIA | 12.8 | 37.7 | 1.7 | $1.64 | 18s | 262K | 3 | |
| 53 | Granite 4.2 30BOpenIBM | 12.7 | 29.9 | 3.5 | $0.072 | 34s | 131K | 1 | |
| 54 | Qwen3.5 Omni FlashOpenAlibaba | 12.5 | N/A | N/A | N/A | 4.0s | 256K | 1 | |
| 55 | gpt-oss-120b (High)OpenOpenAI | 11.6 | 30.4 | 3.7 | $0.107 | 11s | 131K | 15 | |
| 56 | Mistral Small 4 (Reasoning)OpenMistral | 11.3 | 26.6 | 0.8 | $0.015 | 16s | 256K | 1 | |
| 57 | Qwen3.5 9B (Reasoning)OpenAlibaba | 11.2 | 28.7 | 1.2 | $0.213 | 46s | 262K | 2 | |
| 58 | Qwen3 Next 80B A3B (Reasoning)OpenAlibaba | 11.2 | 17.4 | N/A | N/A | 20s | 262K | 1 | |
| 59 | Ling 3.0 TinyOpenInclusionAI | 11.1 | 26.5 | 4.4 | $0.0000 | 57s | 262K | 1 | |
| 60 | Granite 4.2 8BOpenIBM | 11.1 | 22.4 | 1.3 | $0.024 | 43s | 131K | 2 | |
| 61 | Qwen3.5 4BOpenAlibaba | 10.8 | 20.3 | N/A | N/A | 25s | 262K | 1 | |
| 62 | Trinity Large ThinkingOpenArcee AI | 10.8 | 25.8 | 1 | $0.119 | 8.3s | 262K | 1 | |
| 63 | Nemotron 3 Nano Omni 30B A3B ReasoningOpenNVIDIA | 10.3 | 13.8 | N/A | N/A | 11s | 262K | 2 | |
| 64 | gpt-oss-120b (Low)OpenOpenAI | 10.2 | 21.2 | N/A | N/A | 11s | 131K | 14 | |
| 65 | gpt-oss-20b (Low)OpenOpenAI | 10 | N/A | N/A | N/A | 9.3s | 131K | 4 | |
| 66 | Llama 4 MaverickOpenMeta | 10 | 16.3 | 0.6 | N/A | 12s | 1.0M | 5 | |
| 67 | North Mini CodeOpenCohere | 9.9 | 36.5 | 1.1 | $0.0000 | 23s | 256K | 1 | |
| 68 | Qwen3 Next 80B A3B InstructOpenAlibaba | 9.6 | N/A | N/A | N/A | 5.7s | 262K | 4 | |
| 69 | Gemma 4 12BOpenGoogle | 9.4 | N/A | N/A | N/A | 6.9s | 262K | 1 | |
| 70 | Qwen3 Coder NextOpenAlibaba | 9.2 | 36.2 | 0.9 | $0.780 | 8.0s | 262K | 2 | |
| 71 | Granite 4.2 3BOpenIBM | 9.1 | 17.5 | 0.9 | $0.0060 | 12s | 131K | 1 | |
| 72 | Mistral Small 4OpenMistral | 9 | N/A | N/A | N/A | 4.1s | 262K | 1 | |
| 73 | gpt-oss-20b (High)OpenOpenAI | 9 | 20.7 | 1.2 | $0.013 | 12s | 131K | 5 | |
| 74 | NVIDIA Nemotron 3 Nano 30B A3B (Reasoning)OpenNVIDIA | 8.9 | 14.4 | 1 | $0.017 | 12s | 262K | 4 | |
| 75 | Gemma 4 E4B (Reasoning)OpenGoogle | 8.9 | N/A | N/A | N/A | 73s | 131K | 1 | |
| 76 | Magistral Small 1.2OpenMistral | 8.6 | 14.7 | N/A | N/A | 35s | 128K | 1 | |
| 77 | Llama 4 ScoutOpenMeta | 8.1 | 8.2 | 0.5 | N/A | 8.4s | 1.3M | 4 | |
| 78 | Qwen3 Omni 30B A3B (Reasoning)OpenAlibaba | 7.8 | N/A | N/A | N/A | 26s | 66K | 1 | |
| 79 | Llama 3.3 Instruct 70BOpenMeta | 7.7 | 11.9 | N/A | N/A | 7.3s | 131K | 10 | |
| 80 | Gemma 4 E4BOpenGoogle | 7.5 | N/A | N/A | N/A | 17s | 131K | 1 | |
| 81 | Hermes 4 - Llama-3.1 405B (Reasoning)OpenNous Research | 7.5 | N/A | N/A | N/A | 65s | 128K | 1 | |
| 82 | Hermes 4 - Llama-3.1 405BOpenNous Research | 7.4 | N/A | N/A | N/A | 16s | 128K | 1 | |
| 83 | NVIDIA Nemotron Nano 9B V2 (Reasoning)OpenNVIDIA | 7.4 | N/A | N/A | N/A | 12s | 131K | 1 | |
| 84 | Command AOpenCohere | 7 | N/A | N/A | N/A | 10s | 288K | 2 | |
| 85 | NVIDIA Nemotron 3 Nano 30B A3BOpenNVIDIA | 6.8 | N/A | N/A | N/A | 2.6s | 262K | 3 | |
| 86 | NVIDIA Nemotron Nano 9B V2OpenNVIDIA | 6.8 | N/A | N/A | N/A | 4.1s | 131K | 2 | |
| 87 | Phi-4 Mini InstructOpenMicrosoft | 6.3 | 3.8 | N/A | N/A | 12s | 128K | 1 | |
| 88 | Qwen3 Omni 30B A3B InstructOpenAlibaba | 6 | N/A | N/A | N/A | 7.1s | 66K | 1 | |
| 89 | Granite 4.0 H SmallOpenIBM | 6 | N/A | N/A | N/A | 1.8 min | 128K | 1 | |
| 90 | Ministral 3 14BOpenMistral | 6 | 14.4 | 1.1 | $0.019 | 7.9s | 262K | 3 | |
| 91 | Phi-4OpenMicrosoft | 5.9 | N/A | N/A | N/A | 14s | 16K | 2 | |
| 92 | Phi-4 Multimodal InstructOpenMicrosoft | 5.8 | N/A | N/A | N/A | N/A | 4K | 1 | |
| 93 | NVIDIA Nemotron Nano 12B v2 VLOpenNVIDIA | 5.8 | N/A | N/A | N/A | 3.6s | 128K | 1 | |
| 94 | Reka Flash 3OpenReka AI | 5.6 | N/A | N/A | N/A | 28s | 54K | 1 | |
| 95 | Ministral 3 8BOpenMistral | 5.5 | 9.7 | 0.6 | $0.011 | 5.4s | 262K | 2 | |
| 96 | Llama 3.2 Instruct 11B (Vision)OpenMeta | 5.4 | N/A | N/A | N/A | 24s | 131K | 1 | |
| 97 | Ministral 3 3BOpenMistral | 4.8 | 4.8 | 0.8 | $0.0078 | 3.0s | 256K | 2 | |
| 98 | Tiny Aya GlobalOpenCohere | 4.8 | N/A | N/A | N/A | N/A | 8K | 1 |
2MiMo-V2.6-ProOpenXiaomiintelligence46.3Task $0.133Response 56s1.0M context5 providers
3Qwen3.8 MaxOpenAlibabaintelligence45.4Task $5.41Response 72s984K context1 provider
4Muse Spark 1.3 (Xhigh)OpenMetaintelligence45.1Task $1.37Response 29s1.0M context1 provider
5GLM-5.3OpenZ AIintelligence44.8Task $2.01Response 41s1.0M context24 providers
6Kimi K3OpenKimiintelligence43.6Task $2.00Response 64s1.0M context17 providers
7GLM-5.3-FlashOpenZ AIintelligence41.8Task $0.253Response 44s1.0M context23 providers
8Ling 3.1 FlashOpenInclusionAIintelligence41.1Task $1.00Response 14s1.0M context1 provider
9Qwen3.8 2.4T A95BOpenAlibabaintelligence39.9Task $2.16Response 71s1.0M context6 providers
10Qwen3.8-Flash-NextOpenAlibabaintelligence39.8Task $0.372Response 51s1.0M context1 provider
11DeepSeek V4.1 FlashOpenDeepSeekintelligence39.5Task $0.147Response 3.4s1.0M context21 providers
12MiMo-V2.6-FlashOpenXiaomiintelligence37.9Task $0.062Response 54s1.0M context5 providers
13DeepSeek V4 Pro 0813OpenDeepSeekintelligence36Task $0.355Response 6.8s1.0M context10 providers
14DeepSeek V4 Flash VisionOpenDeepSeekintelligence34.8Task $0.314Response 12s1.0M context4 providers
15GLM-5.3 (Low)OpenZ AIintelligence34.3Task $0.852Response 37s1.0M context5 providers
16Qwen3.8 27B (Xhigh)OpenAlibabaintelligence33.7Task $1.01Response 58s1.0M context9 providers
17K2 Horizon 375B A23BOpenInstitute of Foundation Modelsintelligence30.5Task $0.0000Response 26s524K context1 provider
18Kimi K3 (Low)OpenKimiintelligence30.1Task $1.15Response 62s1.0M context5 providers
19MiniMax-M3OpenMiniMaxintelligence29.2Task $0.508Response 24s1.0M context13 providers
20Qwen3.8 27B (Medium)OpenAlibabaintelligence27.6Task $1.13Response 52s1.0M context1 provider
21Quasar 438BOpenMultiverse Computingintelligence26.7Task $2.02Response 18s1.0M context1 provider
22Qwen3.8 27B (Low)OpenAlibabaintelligence26.2Task $1.05Response 51s1.0M context1 provider
23Kimi K2.7 CodeOpenKimiintelligence25.8Task $0.541Response 43s262K context6 providers
24Inkling SmallOpenThinking Machinesintelligence25.7Task $0.089Response 15s524K context2 providers
25Hy3OpenTencentintelligence25.3Task $0.072Response 31s262K context4 providers
26Qwen3.7 PlusOpenAlibabaintelligence25.2Task $0.217Response 48s1.0M context1 provider
27Inkling (Xhigh)OpenThinking Machinesintelligence25Task N/AResponse 15s1.0M context5 providers
28Ling-3.0-flash-VLOpenInclusionAIintelligence24.6Task N/AResponse 20s262K context1 provider
29Nemotron 3 Ultra 550B A55B (Reasoning)OpenNVIDIAintelligence22.9Task $0.598Response 19s262K context4 providers
30Ling-3.0-flash-FinOpenInclusionAIintelligence22.6Task N/AResponse 9.5s262K context1 provider
Reading the field
How to use this LLM ranking page
Start with capability, then force the economics
Frontier models often cluster tightly on raw intelligence. Cost per task, response time, provider coverage, and context length usually create the real shortlist.
Move from discovery to a defensible final pick
Use Explore to find the shape of the market, then move into Compare or use the Agentic Fit Finder when task-level reliability and cost matter more than chat quality alone.
Field notes
Questions builders ask
What is the best LLM in 2026?
Claude Opus 5.5 leads the overall quality ranking right now. The best model for you depends on your use case — coding, cost, speed, and context length all shift the answer.
How do I compare LLMs?
Sort by Quality Index for overall strength, then filter by price, speed, or context window to match your constraints. Move to the Compare page to put 2–4 finalists head to head.
Which AI model has the best quality-to-price ratio?
Open-weight models like DeepSeek, Qwen, and Llama often lead on quality-to-price. For agentic workflows, cost per task is usually a better filter than token price alone.
How often is this leaderboard updated?
Data is pulled from Artificial Analysis and refreshed automatically. New models appear as soon as they have benchmark scores and provider endpoints.
Ranking library
Current live rankings
Focused rankings for the decisions engineers actually make.
01CodingBest LLM for CodingLiveCodeBench, Terminal-Bench, SciCode, and engineering fit.Open ranking 02OpenBest Open Source LLMOpen-weight models for self-hosting and lower-cost deployment.Open ranking 03LocalBest Local LLMModels mapped to Mac, RTX, workstation, and server hardware.Open ranking 04Local codingBest Local LLM for CodingCoding strength filtered through realistic hardware limits.Open ranking 05OllamaBest Ollama ModelsLow-friction local models for coding, reasoning, and chat.Open ranking 06ContextLargest Context Window LLMLong documents, codebases, and retrieval-heavy work.Open ranking 07AgentsBest Agentic ModelsTool use, multi-step execution, and autonomous workflows.Open ranking