# Kimi K2.7 Code vs Mixtral 8x7B

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 2.4× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Mixtral 8x7B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 11.0.
- The biggest single-benchmark swing is GPQA Diamond: 87.9% for Kimi K2.7 Code and 30.6% for Mixtral 8x7B.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 32K.

## Snapshot

| | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 27.1 |
| Rank | 94 | 334 |
| Context | 262K | 32K |
| Input $/M | $0.95 | $0.70 |
| Output $/M | $4 | $0.70 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Mixtral 8x7B: 32.8 (#269)

| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1126 |
| ALE-Bench | 886.23 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Mixtral 8x7B: —

| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Mixtral 8x7B: 18.2 (#285)

| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| Epoch Capabilities Index | 149.97 | 118.47 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1115 |
| DTBench | — | 49.6% |
| Surface Evolver Bench | 48.8% | — |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Mixtral 8x7B: 18.8 (#289)

| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| Omni-MATH | — | 10.5% |
| LMArena Math | — | 1147 |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Mixtral 8x7B: 11.0 (#301)

| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 87.9% | 30.6% |
| SimpleQA Verified | 36.5% | — |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| LMArena Expert | — | 1088 |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multilingual

- Kimi K2.7 Code: —
- Mixtral 8x7B: 29.6 (#266)

| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | — | 1077 |
| LMArena Chinese | — | 1055 |
| LMArena French | — | 1166 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
| LMArena Russian | — | 1090 |
| LMArena Spanish | — | 1111 |

## Instruction Following

- Kimi K2.7 Code: —
- Mixtral 8x7B: 51.0 (#297)

| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| IFEval | — | 57.5% |
| LMArena Instruction Following | — | 1109 |

## Long Context

- Kimi K2.7 Code: —
- Mixtral 8x7B: 33.4 (#260)

| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | — | 1103 |

## Writing & Preference

- Kimi K2.7 Code: —
- Mixtral 8x7B: 34.2 (#270)

| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| LMArena Text | — | 1132 |
| LMArena Creative Writing | — | 1109 |
| WildBench | — | 67.3% |
| LMArena Multi-Turn | — | 1115 |

## FAQ

### Is Kimi K2.7 Code better than Mixtral 8x7B?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 2.4× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

### Which is cheaper, Kimi K2.7 Code or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Kimi K2.7 Code or Mixtral 8x7B better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 32.8 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 32K.

### How many benchmarks do Kimi K2.7 Code and Mixtral 8x7B share?

2 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mixtral 8x7B has 38.