Model decision surface
Compare AI models
Start with Nova Premier 1.0 and Mistral Nemo, 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
Nova Premier 1.0 vs Mistral Nemo
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Nova Premier 1.0 Amazon | Mistral Nemo Mistral AI |
|---|---|---|
| ModelCap position | #230 | #227 |
| Index score | 0.0 | 0.0 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $2.50 | $0.019 |
| Output / 1M | $12.50 | $0.03 |
| Pricing status | fresh | fresh |
| Context | 1M | 131K |
| Providers | 1 | 4 |
| Weight access | API only | Open weights |
Decision facts
- Nova Premier 1.0 is #230; Mistral Nemo is #227 on the same current language board.
- Index scores are 0.0 for Nova Premier 1.0 and 0.0 for Mistral Nemo.
- Both positions use Estimated evidence.
- Listed output price per 1M tokens is $12.50 for Nova Premier 1.0 and $0.03 for Mistral Nemo.
- Published context is 1,000,000 tokens for Nova Premier 1.0 and 131,072 for Mistral Nemo.
- Weight access differs: Nova Premier 1.0 is none; Mistral Nemo is open.
- ModelCap currently lists 1 providers for Nova Premier 1.0 and 4 for Mistral Nemo.
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.