Model comparison
Kimi K2 (Jul 2025) vs Mistral Small 3.2
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 7.5× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Mistral AISummary
- They share 3 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.3 to 45.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 64.4% for Kimi K2 (Jul 2025) and 40.4% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) accepts more context: 262K tokens versus 256K.
Side by side
| Kimi K2 (Jul 2025) | Mistral Small 3.2 | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 41.2 | 31.2 |
| Released | 2025-07-12 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 262K | 256K |
| Max output | 262K | 16K |
| Input $ / M tokens | $0.57 | $0.0938 |
| Output $ / M tokens | $2.30 | $0.25 |
| Results tracked | 42 | 6 |
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Category by category
Coding Not comparable
Kimi K2 (Jul 2025): 42.4 (#102), Mistral Small 3.2: —
| Benchmark | Kimi K2 (Jul 2025) | Mistral Small 3.2 |
|---|---|---|
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| LMArena Coding | 1399 | — |
| ALE-Bench | 597.5 | — |
Agentic & Tool Use Not comparable
Kimi K2 (Jul 2025): 32.4 (#64), Mistral Small 3.2: —
| Benchmark | Kimi K2 (Jul 2025) | Mistral Small 3.2 |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |
Reasoning Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 23.3 (#179), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | 64.4% | 40.4% |
| Epoch Capabilities Index | 146.01 | 131.74 |
| SimpleBench | 26.3% | — |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1384 | — |
| ForecastBench | 60.2 | — |
Math Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.7 (#83), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| Omni-MATH | 65.4% | — |
| LMArena Math | 1397 | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 37.3 (#157), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
| LMArena Expert | 1365 | — |
Multilingual Not comparable
Kimi K2 (Jul 2025): 49.6 (#130), Mistral Small 3.2: —
| Benchmark | Kimi K2 (Jul 2025) | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1372 | — |
| LMArena Chinese | 1415 | — |
| LMArena French | 1379 | — |
| LMArena German | 1387 | — |
| LMArena Japanese | 1349 | — |
| LMArena Korean | 1325 | — |
| LMArena Russian | 1385 | — |
| LMArena Spanish | 1386 | — |
Instruction Following Not comparable
Kimi K2 (Jul 2025): 71.1 (#156), Mistral Small 3.2: —
| Benchmark | Kimi K2 (Jul 2025) | Mistral Small 3.2 |
|---|---|---|
| IFEval | 85% | — |
| LMArena Instruction Following | 1348 | — |
Long Context Not comparable
Kimi K2 (Jul 2025): 41.2 (#145), Mistral Small 3.2: —
| Benchmark | Kimi K2 (Jul 2025) | Mistral Small 3.2 |
|---|---|---|
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
| LMArena Longer Query | 1353 | — |
Writing & Preference Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 62.3 (#78), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1666 | 1255 |
| LMArena Text | 1380 | — |
| LMArena Creative Writing | 1350 | — |
| Short-Story Creative Writing | 85.6% | — |
| WildBench | 86.2% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than Mistral Small 3.2?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 7.5× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.
Which is cheaper, Kimi K2 (Jul 2025) or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.
Which has the bigger context window?
Kimi K2 (Jul 2025) does, with 262K tokens against 256K.
How many benchmarks do Kimi K2 (Jul 2025) and Mistral Small 3.2 share?
3 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Mistral Small 3.2 has 6.