Model decision surface
Compare AI models
Start with Mistral Medium 3.5 and Ornith 1.5 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
Mistral Medium 3.5 vs Ornith 1.5 9B
Live dataset updated 9/13/2026, 2:40:29 PM UTC
Open 1200×630 evidence receipt| Field | Mistral Medium 3.5 Mistral AI | Ornith 1.5 9B Ornith Ai |
|---|---|---|
| ModelCap position | #60 | #58 |
| Index score | 55.6 | 57.4 |
| Evidence | Measured4 public benchmark observations across 4 boards | Estimatedglobal-corpus-prior over 186 held-out anchors (47%); launch card against 2 resolved peers on 10 rows (53%); exceeds every named peer on 3 of 10 rows; optimism haircut 0 from cross-lab-probe; shrunk 4.5 toward the measured corpus |
| 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 #60; Ornith 1.5 9B is #58 on the same current language board.
- Index scores are 55.6 for Mistral Medium 3.5 and 57.4 for Ornith 1.5 9B. 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; Ornith 1.5 9B is Estimated.
- Weight access differs: Mistral Medium 3.5 is none; Ornith 1.5 9B is open.
- ModelCap currently lists 1 providers for Mistral Medium 3.5 and 0 for Ornith 1.5 9B.
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.