Model decision surface
Compare AI models
Start with Fara1.5 9B and MiMo V2.6 Distill Qwen 9B, 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
Fara1.5 9B vs MiMo V2.6 Distill Qwen 9B
Live dataset updated 9/22/2026, 1:40:35 AM UTC
Open 1200×630 evidence receipt| Field | Fara1.5 9B Microsoft | MiMo V2.6 Distill Qwen 9B XiaomiMiMo |
|---|---|---|
| ModelCap position | #119 | #121 |
| Index score | 43.4 | 43.4 |
| Evidence | Inheritedfinetune of qwen/qwen3.5-9b · finetune (100%) | Inheritedfinetune of qwen/qwen3.5-9b · finetune (100%) |
| Input / 1M | Unavailable | Unavailable |
| Output / 1M | Unavailable | Unavailable |
| Pricing status | unavailable | unavailable |
| Context | — | — |
| Providers | 0 | 0 |
| Weight access | Open weights | License unverified |
Decision facts
- Fara1.5 9B is #119; MiMo V2.6 Distill Qwen 9B is #121 on the same current language board.
- Index scores are 43.4 for Fara1.5 9B and 43.4 for MiMo V2.6 Distill Qwen 9B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Inherited evidence.
- Weight access differs: Fara1.5 9B is open; MiMo V2.6 Distill Qwen 9B is unknown.
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.