Model decision surface
Compare AI models
Start with Mistral Nemo and Mistral Small 3.2 24B, 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 Nemo vs Mistral Small 3.2 24B
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Mistral Nemo Mistral AI | Mistral Small 3.2 24B Mistral AI |
|---|---|---|
| ModelCap position | #227 | #78 |
| Index score | 0.0 | 32.7 |
| Evidence | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.019 | $0.094 |
| Output / 1M | $0.03 | $0.25 |
| Pricing status | fresh | fresh |
| Context | 131K | 256K |
| Providers | 4 | 3 |
| Weight access | Open weights | Open weights |
Decision facts
- Mistral Nemo is #227; Mistral Small 3.2 24B is #78 on the same current language board.
- Index scores are 0.0 for Mistral Nemo and 32.7 for Mistral Small 3.2 24B.
- Evidence differs: Mistral Nemo is Estimated; Mistral Small 3.2 24B is Measured.
- Listed output price per 1M tokens is $0.03 for Mistral Nemo and $0.25 for Mistral Small 3.2 24B.
- Published context is 131,072 tokens for Mistral Nemo and 256,000 for Mistral Small 3.2 24B.
- ModelCap currently lists 4 providers for Mistral Nemo and 3 for Mistral Small 3.2 24B.
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.