Model decision surface
Compare AI models
Start with Qwen2.5 7B Instruct and Qwen3.8 Flash, 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
Qwen2.5 7B Instruct vs Qwen3.8 Flash
Live dataset updated 9/3/2026, 5:19:04 AM UTC
Open 1200×630 evidence receipt| Field | Qwen3.8 Flash Qwen | |
|---|---|---|
| ModelCap position | #104 | #17 |
| Index score | 24.4 | 72.1 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.10 | $0.15 |
| Output / 1M | $0.20 | $0.47 |
| Pricing status | fresh | fresh |
| Context | 33K | 1M |
| Providers | 1 | 1 |
| Weight access | Open weights | Restricted license |
Decision facts
- Qwen2.5 7B Instruct is #104; Qwen3.8 Flash is #17 on the same current language board.
- Index scores are 24.4 for Qwen2.5 7B Instruct and 72.1 for Qwen3.8 Flash.
- Evidence differs: Qwen2.5 7B Instruct is Estimated; Qwen3.8 Flash is Measured.
- Listed output price per 1M tokens is $0.20 for Qwen2.5 7B Instruct and $0.47 for Qwen3.8 Flash.
- Published context is 32,768 tokens for Qwen2.5 7B Instruct and 1,000,000 for Qwen3.8 Flash.
- Weight access differs: Qwen2.5 7B Instruct is open; Qwen3.8 Flash is restricted.
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.