# 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.

- Canonical page: https://noometry.com/compare/kimi-k2-vs-mistral-large-4
- Last updated: 2026-10-11
- Shared benchmarks: 12

## Summary

- 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.

## Snapshot

| | Kimi K2 (Jul 2025) | Mistral Large 4 |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 41.2 | 43.1 |
| Rank | 140 | 99 |
| Context | 262K | 1.05M |
| Input $/M | $0.57 | $0.68 |
| Output $/M | $2.30 | $2.09 |
| Weights | Open | Proprietary |

## Coding

- 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

- 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

- 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): 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

- 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

- 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

- 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

- 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): 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% | — |

## FAQ

### 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.