# Kimi K2.7 Code vs Mistral Nemo

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 26.4 on the Noometry Index. Mistral Nemo costs 11× 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-mistral-nemo
- Last updated: 2026-10-11
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Mistral Nemo in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 87.9% for Kimi K2.7 Code and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 128K.

## Snapshot

| | Kimi K2.7 Code | Mistral Nemo |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 26.4 |
| Rank | 94 | 337 |
| Context | 262K | 128K |
| Input $/M | $0.95 | $0.15 |
| Output $/M | $4 | $0.15 |
| Weights | Open | Open |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Mistral Nemo: —

| Benchmark | Kimi K2.7 Code | Mistral Nemo |
|---|---|---|
| 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)
- Mistral Nemo: 23.5 (#125)

| Benchmark | Kimi K2.7 Code | Mistral Nemo |
|---|---|---|
| APEX-Agents | 37.6% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Mistral Nemo: 20.7 (#232)

| Benchmark | Kimi K2.7 Code | Mistral Nemo |
|---|---|---|
| Epoch Capabilities Index | 149.97 | 118.68 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| DTBench | — | 48.6% |
| Surface Evolver Bench | 48.8% | — |
| PIQA | — | 83.5% |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Mistral Nemo: 25.5 (#268)

| Benchmark | Kimi K2.7 Code | Mistral Nemo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Mistral Nemo: 12.3 (#298)

| Benchmark | Kimi K2.7 Code | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 87.9% | 29.9% |
| SimpleQA Verified | 36.5% | — |
| BoolQ | — | 82.5% |

## Writing & Preference

- Kimi K2.7 Code: —
- Mistral Nemo: 28.5 (#296)

| Benchmark | Kimi K2.7 Code | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | — | 881 |

## FAQ

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

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 26.4 on the Noometry Index. Mistral Nemo costs 11× 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 Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### 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 Mistral Nemo share?

2 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mistral Nemo has 10.