Model comparison
Kimi K2 (Jul 2025) vs Pixtral Large
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 32.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Kimi K2 (Jul 2025) scores higher in 2 categories and Pixtral Large in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.3 to 32.9.
- Kimi K2 (Jul 2025) is cheaper at $0.57 / $2.30 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Kimi K2 (Jul 2025) accepts more context: 262K tokens versus 128K.
Side by side
| Kimi K2 (Jul 2025) | Pixtral Large | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 41.2 | 32.2 |
| Released | 2025-07-12 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 262K | 128K |
| Input $ / M tokens | $0.57 | $2 |
| Output $ / M tokens | $2.30 | $6 |
| Results tracked | 42 | 3 |
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Category by category
Coding Not comparable
Kimi K2 (Jul 2025): 42.4 (#102), Pixtral Large: —
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: 21.7 (#218)
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1384 | — |
| Epoch Capabilities Index | 146.01 | — |
| ForecastBench | 60.2 | — |
Math Not comparable
Kimi K2 (Jul 2025): 42.7 (#83), Pixtral Large: —
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| Omni-MATH | 65.4% | — |
| LMArena Math | 1397 | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Not comparable
Kimi K2 (Jul 2025): 37.3 (#157), Pixtral Large: —
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
| LMArena Expert | 1365 | — |
Multimodal Not comparable
Kimi K2 (Jul 2025): —, Pixtral Large: 30.6 (#111)
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
Kimi K2 (Jul 2025): 49.6 (#130), Pixtral Large: —
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| IFEval | 85% | — |
| LMArena Instruction Following | 1348 | — |
Long Context Not comparable
Kimi K2 (Jul 2025): 41.2 (#145), Pixtral Large: —
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: 32.9 (#278)
| Benchmark | Kimi K2 (Jul 2025) | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1666 | 988 |
| 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 Pixtral Large?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 32.2 on the Noometry Index.
Which is cheaper, Kimi K2 (Jul 2025) or Pixtral Large?
Kimi K2 (Jul 2025) is cheaper. It lists at $0.57 per million input tokens and $2.30 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Kimi K2 (Jul 2025) does, with 262K tokens against 128K.
How many benchmarks do Kimi K2 (Jul 2025) and Pixtral Large share?
1 benchmark has published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Pixtral Large has 3.