Mistral Medium 3.5 (Mistral AI) and Kimi K2.7 Code (Moonshot AI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 15 September 2026
As of 15 September 2026, Kimi K2.7 Code holds the stronger ModelCap Index position (#55 vs #63); and Kimi K2.7 Code is 2.1× cheaper per output token ($3.50/1M vs $7.50/1M).
Evidence: 4 public benchmark observations across 4 boards · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Mistral Medium 3.5 vs Kimi K2.7 Code
Public benchmark boards where Mistral Medium 3.5 or Kimi K2.7 Code has a published result
Mistral Medium 3.5 vs Kimi K2.7 Code: common questions
Is Mistral Medium 3.5 better than Kimi K2.7 Code?
Kimi K2.7 Code ranks higher on the ModelCap Index as of 15 September 2026: #55 against #63. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is Mistral Medium 3.5 cheaper than Kimi K2.7 Code?
Kimi K2.7 Code is cheaper on output tokens: $3.50/1M against $7.50/1M. Input tokens are $1.50/1M for Mistral Medium 3.5 and $0.71/1M for Kimi K2.7 Code. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. 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.
Which has the bigger context window, Mistral Medium 3.5 or Kimi K2.7 Code?
Both publish a 262K-token context window.
Which is better for coding, Mistral Medium 3.5 or Kimi K2.7 Code?
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
Are Mistral Medium 3.5 and Kimi K2.7 Code open-weight models?
Mistral Medium 3.5: API only. Kimi K2.7 Code: Restricted license. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run Mistral Medium 3.5 and Kimi K2.7 Code?
ModelCap currently lists 1 API provider for Mistral Medium 3.5 and 14 for Kimi K2.7 Code, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Mistral Medium 3.5 vs Kimi K2.7 Code comparison?
Every figure comes from the sealed ModelCap dataset published 15 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.