Model decision surface
Compare AI models
Start with Mistral Medium 3.5 and Nemotron 3 Ultra, 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 Nemotron 3 Ultra
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Mistral Medium 3.5 Mistral AI | Nemotron 3 Ultra NVIDIA |
|---|---|---|
| ModelCap position | #40 | #43 |
| Index score | 54.0 | 52.9 |
| Evidence | Measured4 public benchmark observations across 4 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $1.50 | $0.60 |
| Output / 1M | $7.50 | $3.60 |
| Pricing status | fresh | fresh |
| Context | 262K | 512K |
| Providers | 1 | 4 |
| Weight access | API only | Restricted license |
Decision facts
- Mistral Medium 3.5 is #40; Nemotron 3 Ultra is #43 on the same current language board.
- Index scores are 54.0 for Mistral Medium 3.5 and 52.9 for Nemotron 3 Ultra.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $7.50 for Mistral Medium 3.5 and $3.60 for Nemotron 3 Ultra.
- Published context is 262,144 tokens for Mistral Medium 3.5 and 512,288 for Nemotron 3 Ultra.
- Weight access differs: Mistral Medium 3.5 is none; Nemotron 3 Ultra is restricted.
- ModelCap currently lists 1 providers for Mistral Medium 3.5 and 4 for Nemotron 3 Ultra.
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.