Model decision surface
Compare AI models
Start with Dots3-Note Preview and Mistral Medium 3.5, 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 Medium 3.5
Live dataset updated 9/22/2026, 9:31:46 PM UTC
Open 1200×630 evidence receipt| Field | Dots3-Note Preview Dots Studio | Mistral Medium 3.5 Mistral AI |
|---|---|---|
| ModelCap position | #69 | #63 |
| Index score | 61.4 | 62.6 |
| Evidence | Measuredglobal-corpus-prior over 208 held-out anchors (59%); 1 specialist-board observation at 2.1% support (41%); shrunk 6.1 toward the measured corpus | Measured4 public benchmark observations across 4 boards |
| Input / 1M | Free | $1.50 |
| Output / 1M | Free | $7.50 |
| Pricing status | fresh | fresh |
| Context | 512K | 262K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- Dots3-Note Preview is #69; Mistral Medium 3.5 is #63 on the same current language board.
- Index scores are 61.4 for Dots3-Note Preview and 62.6 for Mistral Medium 3.5. 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 $7.50 for Mistral Medium 3.5. 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 $6.75 for Mistral Medium 3.5. 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 Medium 3.5.
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.