Model decision surface
Compare AI models
Start with Qwen AgentWorld 35B A3B and Qwen3 4B Instruct 2507, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
Qwen AgentWorld 35B A3B vs Qwen3 4B Instruct 2507
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | ||
|---|---|---|
| ModelCap position | #94 | #103 |
| Index score | 23.7 | 23.5 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Estimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism |
| Input / 1M | Unavailable | Unavailable |
| Output / 1M | Unavailable | Unavailable |
| Pricing status | unavailable | unavailable |
| Context | — | 262K |
| Providers | 0 | 0 |
| Weight access | Open weights | Open weights |
Decision facts
- Qwen AgentWorld 35B A3B is #94; Qwen3 4B Instruct 2507 is #103 on the same current language board.
- Index scores are 23.7 for Qwen AgentWorld 35B A3B and 23.5 for Qwen3 4B Instruct 2507.
- Both positions use Estimated evidence.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.