Model comparison
Kimi K2.7 Code vs Mistral Small 3.1
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 4.3× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Mistral Small 3.1 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.6 to 13.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Kimi K2.7 Code and 3.9% for Mistral Small 3.1.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 128K.
Side by side
| Kimi K2.7 Code | Mistral Small 3.1 | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.0 | 31.4 |
| Released | 2026-06-12 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 262K | 102K |
| Input $ / M tokens | $0.95 | $0.35 |
| Output $ / M tokens | $4 | $0.56 |
| Results tracked | 19 | 28 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.4 (#92), Mistral Small 3.1: 37.7 (#175)
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1309 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 23.9 (#115), Mistral Small 3.1: —
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 38.2 (#56), Mistral Small 3.1: 18.9 (#249)
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 21% | 1% |
| Epoch Capabilities Index | 150.01 | 127.48 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| LMArena Hard Prompts | — | 1278 |
| Surface Evolver Bench | 48.8% | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.6 (#39), Mistral Small 3.1: 13.7 (#295)
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 3.9% |
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| Omni-MATH | — | 24.8% |
| LMArena Math | — | 1261 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.6 (#51), Mistral Small 3.1: 22.6 (#266)
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 87.9% | 41.9% |
| SimpleQA Verified | 36.5% | — |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
| LMArena Expert | — | 1258 |
Multimodal Not comparable
Kimi K2.7 Code: —, Mistral Small 3.1: 32.6 (#93)
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
Multilingual Not comparable
Kimi K2.7 Code: —, Mistral Small 3.1: 41.4 (#204)
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | — | 1255 |
| LMArena Chinese | — | 1254 |
| LMArena French | — | 1270 |
| LMArena German | — | 1266 |
| LMArena Japanese | — | 1210 |
| LMArena Korean | — | 1206 |
| LMArena Russian | — | 1263 |
| LMArena Spanish | — | 1283 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Mistral Small 3.1: 63.8 (#225)
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| IFEval | — | 75% |
| LMArena Instruction Following | — | 1264 |
Long Context Not comparable
Kimi K2.7 Code: —, Mistral Small 3.1: 39.5 (#172)
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | — | 1300 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Mistral Small 3.1: 37.2 (#254)
| Benchmark | Kimi K2.7 Code | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | — | 1278 |
| LMArena Creative Writing | — | 1253 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | — | 1270 |
Frequently asked questions
Is Kimi K2.7 Code better than Mistral Small 3.1?
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 4.3× 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 Small 3.1?
Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Mistral Small 3.1 better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 37.7 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 128K.
How many benchmarks do Kimi K2.7 Code and Mistral Small 3.1 share?
4 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mistral Small 3.1 has 28.