Model decision surface
Compare AI models
Start with Mistral Small 3.2 24B and Mixtral 8x22B Instruct, 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 Small 3.2 24B vs Mixtral 8x22B Instruct
Live dataset updated 9/22/2026, 9:31:46 PM UTC
Open 1200×630 evidence receipt| Field | Mistral Small 3.2 24B Mistral AI | Mixtral 8x22B Instruct Mistral AI |
|---|---|---|
| ModelCap position | #133 | #225 |
| Index score | 41.9 | 11.5 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.094 | $2.00 |
| Output / 1M | $0.25 | $6.00 |
| Pricing status | fresh | fresh |
| Context | 256K | 66K |
| Providers | 3 | 1 |
| Weight access | Open weights | Open weights |
Decision facts
- Mistral Small 3.2 24B is #133; Mixtral 8x22B Instruct is #225 on the same current language board.
- Index scores are 41.9 for Mistral Small 3.2 24B and 11.5 for Mixtral 8x22B Instruct. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.25 for Mistral Small 3.2 24B and $6.00 for Mixtral 8x22B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.31 for Mistral Small 3.2 24B versus $7.00 for Mixtral 8x22B Instruct. Mistral Small 3.2 24B costs 95.5% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 256,000 tokens for Mistral Small 3.2 24B and 65,536 for Mixtral 8x22B Instruct.
- ModelCap currently lists 3 providers for Mistral Small 3.2 24B and 1 for Mixtral 8x22B Instruct.
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.