Model comparison
Kimi K2 (Jul 2025) vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 41.2 on the Noometry Index.
Last verified . 12 shared benchmarks.
Mistral AISummary
- They share 12 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 4 categories and Mistral Large 4 in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 42.4.
- Both cost about the same: $0.57 input and $2.30 output per million tokens.
- Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
- Kimi K2 (Jul 2025) has downloadable open weights; the other is API-only.
Side by side
| Kimi K2 (Jul 2025) | Mistral Large 4 | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 41.2 | 43.1 |
| Released | 2025-07-12 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 262K | 1.05M |
| Max output | 262K | 262K |
| Input $ / M tokens | $0.57 | $0.68 |
| Output $ / M tokens | $2.30 | $2.09 |
| Results tracked | 42 | 15 |
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Category by category
Coding Mistral Large 4 leads
Kimi K2 (Jul 2025): 42.4 (#102), Mistral Large 4: 48.6 (#57)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1399 | 1475 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| LMArena WebDev | — | 1541 |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| ALE-Bench | 597.5 | — |
Agentic & Tool Use Not comparable
Kimi K2 (Jul 2025): 32.4 (#64), Mistral Large 4: —
| Benchmark | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |
Reasoning Too close to call
Kimi K2 (Jul 2025): 23.3 (#179), Mistral Large 4: 22.5 (#192)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1444 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| NYT Connections (extended) | — | 27.4% |
| Epoch Capabilities Index | 146.01 | — |
| ForecastBench | 60.2 | — |
Math Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.7 (#83), Mistral Large 4: 40.4 (#91)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1397 | 1488 |
| Omni-MATH | 65.4% | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Too close to call
Kimi K2 (Jul 2025): 37.3 (#157), Mistral Large 4: 36.6 (#166)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1365 | 1447 |
| SimpleQA Verified | — | 20% |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
Multilingual Mistral Large 4 leads
Kimi K2 (Jul 2025): 49.6 (#130), Mistral Large 4: 52.6 (#82)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1372 | 1415 |
| LMArena Chinese | 1415 | 1491 |
| LMArena Russian | 1385 | 1414 |
| LMArena French | 1379 | — |
| LMArena German | 1387 | — |
| LMArena Japanese | 1349 | — |
| LMArena Korean | 1325 | — |
| LMArena Spanish | 1386 | — |
Instruction Following Mistral Large 4 leads
Kimi K2 (Jul 2025): 71.1 (#156), Mistral Large 4: 75.0 (#76)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1348 | 1424 |
| IFEval | 85% | — |
Long Context Mistral Large 4 leads
Kimi K2 (Jul 2025): 41.2 (#145), Mistral Large 4: 43.6 (#89)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1353 | 1429 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
Writing & Preference Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 62.3 (#78), Mistral Large 4: 60.4 (#97)
| Benchmark | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1380 | 1427 |
| LMArena Creative Writing | 1350 | 1361 |
| LMArena Multi-Turn | 1371 | 1424 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 41.2 on the Noometry Index.
Which is cheaper, Kimi K2 (Jul 2025) or Mistral Large 4?
Kimi K2 (Jul 2025) is cheaper. It lists at $0.57 per million input tokens and $2.30 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is Kimi K2 (Jul 2025) or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 262K.
How many benchmarks do Kimi K2 (Jul 2025) and Mistral Large 4 share?
12 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Mistral Large 4 has 15.