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
164
Providers
103
Provider data fetched
Oct 15, 2026, 11:32 UTC
Method
Index v4.3
Newest release
Oct 12, 2026
Rank by

Model rankings

148 results · sorted by intelligence

Underlined names open model pages. Use the chevron for endpoint details.
1Claude Opus 5.5Anthropicintelligence57.6Task $0.551Response 17s1.0M context4 providers
2Claude Sonnet 5.5Anthropicintelligence56Task $0.345Response 6.4s1.0M context4 providers
3Claude Fable 5.1Anthropicintelligence53.4Task $2.37Response 13s1.0M context1 provider
4GPT-6 AstraOpenAIintelligence52.7Task $3.26Response 5.2 min1.0M context6 providers
5Gemini 4 Argon (High)Googleintelligence52.6Task $1.99Response N/A1.0M context2 providers
6GPT-6 Astra (Xhigh)OpenAIintelligence52.4Task $2.31Response 3.1 min1.0M context1 provider
7Muse WonderOpenMetaintelligence52.4Task $4.52Response 59s1.0M context1 provider
8GPT-6.1 SolOpenAIintelligence51.8Task $0.724Response 5.2 min1.0M context5 providers
9GPT-6.1 Sol (Xhigh)OpenAIintelligence51Task $0.393Response 3.3 min1.0M context1 provider
10GPT-6 Astra (High)OpenAIintelligence50.9Task $1.73Response 83s1.0M context1 provider
11GPT-6.1 Sol (High)OpenAIintelligence50.2Task $0.319Response 61s1.0M context1 provider
12GPT-6 Astra (Medium)OpenAIintelligence49.6Task $1.54Response 18s1.0M context1 provider
13Muse Spark 1.3OpenMetaintelligence48.1Task $1.60Response 61s1.0M context1 provider
14GPT-6.1 Sol (Medium)OpenAIintelligence47.8Task $0.214Response 17s1.0M context1 provider
15Grok 4.7 (Xhigh)SpaceXAIintelligence46.4Task $3.74Response 87s500K context1 provider
16MiMo-V2.6-ProOpenXiaomiintelligence46.3Task $0.133Response 59s1.0M context5 providers
17Grok 4.7 (High)SpaceXAIintelligence46.3Task $2.73Response 36s500K context1 provider
18GPT-6 Astra (Low)OpenAIintelligence45.8Task $0.818Response 15s1.0M context2 providers
19Qwen3.8 MaxOpenAlibabaintelligence45.4Task $5.41Response 63s984K context1 provider
20Muse Spark 1.3 (Xhigh)OpenMetaintelligence45.1Task $1.37Response 40s1.0M context1 provider
21GLM-5.3OpenZ AIintelligence44.8Task $2.01Response 46s1.0M context24 providers
22Step 5 PreviewStepFunintelligence43.7Task $1.03Response 31s1.0M context1 provider
23Kimi K3OpenKimiintelligence43.6Task $2.00Response 62s1.0M context17 providers
24Claude Haiku 5.5Anthropicintelligence43.4Task $0.213Response 5.7 min1.0M context1 provider
25Grok 4.7 (Low)SpaceXAIintelligence42.2Task $1.25Response 13s500K context1 provider
26GPT-5.6 TerraOpenAIintelligence42.1Task $0.140Response 6.4s1.0M context2 providers
27GPT-6.1 Sol (Low)OpenAIintelligence42.1Task $0.131Response 15s1.0M context1 provider
28GLM-5.3-FlashOpenZ AIintelligence41.8Task $0.284Response 43s1.0M context24 providers
29Claude Haiku 5.5 (Xhigh)Anthropicintelligence41.2Task $0.124Response 81s1.0M context1 provider
30Ling 3.1 FlashOpenInclusionAIintelligence41.1Task $1.000Response 14s1.0M 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.