Model comparison
Kimi K2.7 Code vs Mistral Medium 3.1
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 2.1× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 10.6.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 131K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Kimi K2.7 Code | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 31.9 |
| Released | 2026-06-12 | — |
| Weights | Open | Proprietary |
| Context window | 262K | 131K |
| Max output | 262K | 105K |
| Input $ / M tokens | $0.95 | $0.40 |
| Output $ / M tokens | $4 | $2 |
| Results tracked | 19 | 3 |
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Category by category
Coding Not comparable
Kimi K2.7 Code: 42.9 (#95), Mistral Medium 3.1: —
| Benchmark | Kimi K2.7 Code | Mistral Medium 3.1 |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Mistral Medium 3.1: —
| Benchmark | Kimi K2.7 Code | Mistral Medium 3.1 |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | Kimi K2.7 Code | Mistral Medium 3.1 |
|---|---|---|
| SimpleBench | 57.9% | — |
| NYT Connections (extended) | — | 6.5% |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| Thematic Generalization | — | 20.3% |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Not comparable
Kimi K2.7 Code: 52.9 (#48), Mistral Medium 3.1: —
| Benchmark | Kimi K2.7 Code | Mistral Medium 3.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
Knowledge Not comparable
Kimi K2.7 Code: 53.5 (#57), Mistral Medium 3.1: —
| Benchmark | Kimi K2.7 Code | Mistral Medium 3.1 |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Mistral Medium 3.1: 55.5 (#145)
| Benchmark | Kimi K2.7 Code | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1476 |
Frequently asked questions
Is Kimi K2.7 Code better than Mistral Medium 3.1?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 2.1× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.7 Code or Mistral Medium 3.1?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 131K.
How many benchmarks do Kimi K2.7 Code and Mistral Medium 3.1 share?
0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mistral Medium 3.1 has 3.