Model decision surface
Compare AI models
Start with Nova Pro 1.0 and Codestral 2508, 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 Pro 1.0 vs Codestral 2508
Live dataset updated 8/18/2026, 3:23:39 AM UTC
Open 1200×630 evidence receipt| Field | Nova Pro 1.0 Amazon | Codestral 2508 Mistral AI |
|---|---|---|
| ModelCap position | #191 | #229 |
| Index score | 14.9 | 0.0 |
| Evidence | Measured2 public benchmark observations across 2 boards | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.80 | $0.30 |
| Output / 1M | $3.20 | $0.90 |
| Pricing status | fresh | fresh |
| Context | 300K | 256K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- Nova Pro 1.0 is #191; Codestral 2508 is #229 on the same current language board.
- Index scores are 14.9 for Nova Pro 1.0 and 0.0 for Codestral 2508.
- Evidence differs: Nova Pro 1.0 is Measured; Codestral 2508 is Estimated.
- Listed output price per 1M tokens is $3.20 for Nova Pro 1.0 and $0.90 for Codestral 2508.
- Published context is 300,000 tokens for Nova Pro 1.0 and 256,000 for Codestral 2508.
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.