Model decision surface
Compare AI models
Start with Dots3-Note Preview and Mistral Large 3 2512, 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
Dots3-Note Preview vs Mistral Large 3 2512
Live dataset updated 9/22/2026, 10:37:09 PM UTC
Open 1200×630 evidence receipt| Field | Dots3-Note Preview Dots Studio | Mistral Large 3 2512 Mistral AI |
|---|---|---|
| ModelCap position | #70 | #72 |
| Index score | 61.2 | 60.9 |
| Evidence | Measuredglobal-corpus-prior over 209 held-out anchors (59%); 1 specialist-board observation at 2.1% support (41%); shrunk 6.3 toward the measured corpus | Measured2 public benchmark observations across 2 boards |
| Input / 1M | Free | $0.25 |
| Output / 1M | Free | $0.75 |
| Pricing status | fresh | fresh |
| Context | 512K | 262K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- Dots3-Note Preview is #70; Mistral Large 3 2512 is #72 on the same current language board.
- Index scores are 61.2 for Dots3-Note Preview and 60.9 for Mistral Large 3 2512. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0 for Dots3-Note Preview and $0.75 for Mistral Large 3 2512. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0 for Dots3-Note Preview versus $0.88 for Mistral Large 3 2512. Dots3-Note Preview costs 100.0% 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 512,000 tokens for Dots3-Note Preview and 262,144 for Mistral Large 3 2512.
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.