Model decision surface
Compare AI models
Start with Mistral Medium 3.5 and Qwen Image Bench, 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
Mistral Medium 3.5 vs Qwen Image Bench
Live dataset updated 9/19/2026, 11:04:59 PM UTC
Open 1200×630 evidence receipt| Field | Mistral Medium 3.5 Mistral AI | Qwen Image Bench Qwen |
|---|---|---|
| ModelCap position | #62 | #64 |
| Index score | 58.1 | 57.9 |
| Evidence | Measured4 public benchmark observations across 4 boards | Inheritedfinetune of qwen/qwen3.6-27b · finetune (100%) |
| Input / 1M | $1.50 | Unavailable |
| Output / 1M | $7.50 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 262K | — |
| Providers | 1 | 0 |
| Weight access | API only | Open weights |
Decision facts
- Mistral Medium 3.5 is #62; Qwen Image Bench is #64 on the same current language board.
- Index scores are 58.1 for Mistral Medium 3.5 and 57.9 for Qwen Image Bench. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Mistral Medium 3.5 is Measured; Qwen Image Bench is Inherited.
- Weight access differs: Mistral Medium 3.5 is none; Qwen Image Bench is open.
- ModelCap currently lists 1 providers for Mistral Medium 3.5 and 0 for Qwen Image Bench.
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.