1Qwen3.5 4B (Reasoning)OpenAlibabaintelligence13.1Task N/AResponse 2.0 min262K context1 provider
Live data
Assembling the frontier
Ranking the latest models and provider endpoints.
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Ranking the latest models and provider endpoints.
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1 results · sorted by intelligence
| # | Details | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Qwen3.5 4B (Reasoning)OpenAlibaba | 13.1 | 22.6 | N/A | N/A | 2.0 min | 262K | 1 |
Reading the field
Frontier models often cluster tightly on raw intelligence. Cost per task, response time, provider coverage, and context length usually create the real shortlist.
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
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.
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.
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.
Data is pulled from Artificial Analysis and refreshed automatically. New models appear as soon as they have benchmark scores and provider endpoints.
Ranking library
Focused rankings for the decisions engineers actually make.