Model decision surface
Compare AI models
Start with Fara1.5 27B and MiniMax M1 80k, 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 27B vs MiniMax M1 80k
Live dataset updated 9/10/2026, 1:00:55 AM UTC
Open 1200×630 evidence receipt| Field | Fara1.5 27B Microsoft | MiniMax M1 80k MiniMaxAI |
|---|---|---|
| ModelCap position | #73 | #74 |
| Index score | 50.9 | 50.9 |
| Evidence | Inheritedfinetune of qwen/qwen3.5-27b · finetune (100%) | Estimatedglobal-corpus-prior over 183 held-out anchors (19%); launch card against 5 resolved peers on 9 rows (81%); exceeds every named peer on 1 of 9 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.6 up toward the measured corpus |
| Input / 1M | Unavailable | Unavailable |
| Output / 1M | Unavailable | Unavailable |
| Pricing status | unavailable | unavailable |
| Context | — | 1M |
| Providers | 0 | 0 |
| Weight access | Open weights | Open weights |
Decision facts
- Fara1.5 27B is #73; MiniMax M1 80k is #74 on the same current language board.
- Index scores are 50.9 for Fara1.5 27B and 50.9 for MiniMax M1 80k. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Fara1.5 27B is Inherited; MiniMax M1 80k is Estimated.
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.