Model decision surface
Compare AI models
Start with Nova Premier 1.0 and Voxtral Small 24B 2507, 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 Voxtral Small 24B 2507
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Nova Premier 1.0 Amazon | Voxtral Small 24B 2507 Mistral AI |
|---|---|---|
| ModelCap position | #230 | #228 |
| 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 | $0.10 |
| Output / 1M | $12.50 | $0.30 |
| Pricing status | fresh | fresh |
| Context | 1M | 32K |
| Providers | 1 | 1 |
| Weight access | API only | Open weights |
Decision facts
- Nova Premier 1.0 is #230; Voxtral Small 24B 2507 is #228 on the same current language board.
- Index scores are 0.0 for Nova Premier 1.0 and 0.0 for Voxtral Small 24B 2507.
- Both positions use Estimated evidence.
- Listed output price per 1M tokens is $12.50 for Nova Premier 1.0 and $0.30 for Voxtral Small 24B 2507.
- Published context is 1,000,000 tokens for Nova Premier 1.0 and 32,000 for Voxtral Small 24B 2507.
- Weight access differs: Nova Premier 1.0 is none; Voxtral Small 24B 2507 is open.
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.