# Kimi K2.7 Code vs Mistral Large

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-mistral-large
- Last updated: 2026-10-12
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Mistral Large in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 18.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Kimi K2.7 Code and 8.5% for Mistral Large.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $6 for Mistral Large.
- Kimi K2.7 Code accepts more context: 262K tokens versus 131K.

## Snapshot

| | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 31.9 |
| Rank | 94 | 263 |
| Context | 262K | 131K |
| Input $/M | $0.95 | $2 |
| Output $/M | $4 | $6 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Mistral Large: 34.3 (#240)

| Benchmark | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| SciCode | 47.5% | 36.2% |
| ALE-Bench | 886.23 | 264.7 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| WeirdML | 54.1% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| BigCodeBench Complete | — | 38.3% |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Mistral Large: 28.6 (#89)

| Benchmark | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| APEX-Agents | 37.6% | — |
| Berkeley Function Calling Leaderboard | — | 38.4% |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Mistral Large: 15.8 (#310)

| Benchmark | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| SimpleBench | 57.9% | 22.5% |
| CritPt | 10% | 0% |
| Epoch Capabilities Index | 149.97 | 128.52 |
| Chess Puzzles | 21% | — |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Surface Evolver Bench | 48.8% | — |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Mistral Large: 18.2 (#291)

| Benchmark | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 8.5% |
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Mistral Large: 30.1 (#230)

| Benchmark | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| GPQA Diamond | 87.9% | 51.3% |
| SimpleQA Verified | 36.5% | — |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |

## Multilingual

- Kimi K2.7 Code: —
- Mistral Large: 40.0 (#219)

| Benchmark | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |

## Instruction Following

- Kimi K2.7 Code: —
- Mistral Large: 67.9 (#191)

| Benchmark | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |

## Long Context

- Kimi K2.7 Code: —
- Mistral Large: 38.3 (#199)

| Benchmark | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |

## Writing & Preference

- Kimi K2.7 Code: —
- Mistral Large: 40.7 (#242)

| Benchmark | Kimi K2.7 Code | Mistral Large |
|---|---|---|
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Kimi K2.7 Code better than Mistral Large?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 31.9 on the Noometry Index.

### Which is cheaper, Kimi K2.7 Code or Mistral Large?

Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Mistral Large lists at $2 and $6.

### Is Kimi K2.7 Code or Mistral Large better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 34.3 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 131K.

### How many benchmarks do Kimi K2.7 Code and Mistral Large share?

7 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mistral Large has 51.