# Kimi K2.7 Code vs Pixtral Large

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-pixtral-large
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 21.7.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Kimi K2.7 Code accepts more context: 262K tokens versus 128K.

## Snapshot

| | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 32.2 |
| Rank | 94 | 259 |
| Context | 262K | 128K |
| Input $/M | $0.95 | $2 |
| Output $/M | $4 | $6 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Pixtral Large: —

| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| ALE-Bench | 886.23 | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Pixtral Large: —

| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Pixtral Large: 21.7 (#218)

| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| EnigmaEval | — | 0.8% |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Pixtral Large: —

| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Pixtral Large: —

| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |

## Multimodal

- Kimi K2.7 Code: —
- Pixtral Large: 30.6 (#111)

| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |

## Writing & Preference

- Kimi K2.7 Code: —
- Pixtral Large: 32.9 (#278)

| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | — | 988 |

## FAQ

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

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.2 on the Noometry Index.

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

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

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 128K.

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

0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Pixtral Large has 3.