Model decision surface
Compare AI models
Start with Mistral Medium 3.5 and Kimi K2.7 Code, 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 Medium 3.5 vs Kimi K2.7 Code
Live dataset updated 9/15/2026, 9:19:37 PM UTC
Open 1200×630 evidence receipt| Field | Mistral Medium 3.5 Mistral AI | Kimi K2.7 Code Moonshot AI |
|---|---|---|
| ModelCap position | #63 | #55 |
| Index score | 55.9 | 58.5 |
| Evidence | Measured4 public benchmark observations across 4 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $1.50 | $0.71 |
| Output / 1M | $7.50 | $3.50 |
| Pricing status | fresh | fresh |
| Context | 262K | 262K |
| Providers | 1 | 14 |
| Weight access | API only | Restricted license |
Decision facts
- Mistral Medium 3.5 is #63; Kimi K2.7 Code is #55 on the same current language board.
- Index scores are 55.9 for Mistral Medium 3.5 and 58.5 for Kimi K2.7 Code. 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 $7.50 for Mistral Medium 3.5 and $3.50 for Kimi K2.7 Code. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $6.75 for Mistral Medium 3.5 versus $3.17 for Kimi K2.7 Code. Kimi K2.7 Code costs 53.0% 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 262,144 tokens for Mistral Medium 3.5 and 262,144 for Kimi K2.7 Code.
- Weight access differs: Mistral Medium 3.5 is none; Kimi K2.7 Code is restricted.
- ModelCap currently lists 1 providers for Mistral Medium 3.5 and 14 for Kimi K2.7 Code.
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.