Model decision surface
Compare AI models
Start with Nova Pro 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 Pro 1.0 vs Mistral Nemo
Live dataset updated 9/3/2026, 3:06:08 AM UTC
Open 1200×630 evidence receipt| Field | Nova Pro 1.0 Amazon | Mistral Nemo Mistral AI |
|---|---|---|
| ModelCap position | #184 | #219 |
| Index score | 14.6 | 0.0 |
| Evidence | Measured2 public benchmark observations across 2 boards | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.80 | $0.019 |
| Output / 1M | $3.20 | $0.03 |
| Pricing status | fresh | fresh |
| Context | 300K | 131K |
| Providers | 1 | 4 |
| Weight access | API only | Open weights |
Decision facts
- Nova Pro 1.0 is #184; Mistral Nemo is #219 on the same current language board.
- Index scores are 14.6 for Nova Pro 1.0 and 0.0 for Mistral Nemo.
- Evidence differs: Nova Pro 1.0 is Measured; Mistral Nemo is Estimated.
- Listed output price per 1M tokens is $3.20 for Nova Pro 1.0 and $0.03 for Mistral Nemo.
- Published context is 300,000 tokens for Nova Pro 1.0 and 131,072 for Mistral Nemo.
- Weight access differs: Nova Pro 1.0 is none; Mistral Nemo is open.
- ModelCap currently lists 1 providers for Nova Pro 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.