# Kimi K2.7 Code vs o4-mini

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 41.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-o4-mini
- Last updated: 2026-10-12
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and o4-mini in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 24.6.
- The biggest single-benchmark swing is SimpleBench: 57.9% for Kimi K2.7 Code and 38.7% for o4-mini.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.10 / $4.40 for o4-mini.
- Kimi K2.7 Code accepts more context: 262K tokens versus 200K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | Kimi K2.7 Code | o4-mini |
|---|---|---|
| Provider | Moonshot AI | OpenAI |
| Noometry Index | 43.3 | 41.6 |
| Rank | 94 | 132 |
| Context | 262K | 200K |
| Input $/M | $0.95 | $1.10 |
| Output $/M | $4 | $4.40 |
| Weights | Open | Proprietary |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- o4-mini: 40.9 (#127)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| WeirdML | 54.1% | 52.6% |
| ALE-Bench | 886.23 | 826.17 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SWE-bench Verified (bash only) | — | 45% |
| Aider Polyglot | — | 72% |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| GSO | — | 3.6% |
| LMArena Coding | — | 1368 |
| CadEval | — | 62% |
| AlgoTune | — | 1.72 |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- o4-mini: 32.6 (#61)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| APEX-Agents | 37.6% | — |
| Berkeley Function Calling Leaderboard | — | 53.2% |
| GDPval | — | 25.3% |
| GBAEval | 0.9% | — |
| METR Time Horizons | — | 63.9% |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- o4-mini: 24.6 (#162)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| SimpleBench | 57.9% | 38.7% |
| CritPt | 10% | 0.6% |
| Chess Puzzles | 21% | 26% |
| Epoch Capabilities Index | 149.97 | 145.64 |
| ARC-AGI-2 | — | 6.1% |
| Kagi LLM Benchmark | — | 67.6% |
| ARC-AGI-1 | — | 58.7% |
| EnigmaEval | — | 9.2% |
| LMArena Hard Prompts | — | 1351 |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 77.6% |
| LMCA | — | 26.5% |
| Surface Evolver Bench | 48.8% | — |
| ForecastBench | — | 61.8 |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- o4-mini: 40.8 (#89)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | 36.1% |
| FrontierMath Tier 4 | 12.2% | 4.9% |
| OTIS Mock AIME 2024-2025 | 95.6% | 81.7% |
| Omni-MATH | — | 72% |
| LMArena Math | — | 1389 |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 24.8% |
| FrontierMath Tier 4 (v1) | — | 6.3% |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- o4-mini: 43.6 (#91)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| GPQA Diamond | 87.9% | 79.6% |
| SimpleQA Verified | 36.5% | 19.6% |
| Humanity's Last Exam | — | 18.1% |
| MMLU-Pro | — | 82% |
| Confabulations | — | 15.8% |
| Vectara Hallucination Rate | — | 18.6% |
| GPQA (HELM) | — | 73.5% |
| LMArena Expert | — | 1343 |

## Multimodal

- Kimi K2.7 Code: —
- o4-mini: 40.2 (#49)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| LMArena Vision | — | 1194 |
| GeoBench | — | 64% |
| VPCT | — | 57.5% |

## Multilingual

- Kimi K2.7 Code: —
- o4-mini: 47.0 (#154)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| LMArena Non-English | — | 1337 |
| LMArena Chinese | — | 1354 |
| LMArena French | — | 1364 |
| LMArena German | — | 1336 |
| LMArena Japanese | — | 1308 |
| LMArena Korean | — | 1312 |
| LMArena Russian | — | 1334 |
| LMArena Spanish | — | 1347 |

## Instruction Following

- Kimi K2.7 Code: —
- o4-mini: 75.2 (#68)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| IFEval | — | 92.8% |
| LMArena Instruction Following | — | 1321 |

## Long Context

- Kimi K2.7 Code: —
- o4-mini: 45.5 (#33)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| Fiction.LiveBench | — | 77.8% |
| LMArena Longer Query | — | 1315 |

## Writing & Preference

- Kimi K2.7 Code: —
- o4-mini: 54.0 (#152)

| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| LMArena Text | — | 1353 |
| LMArena Creative Writing | — | 1294 |
| Short-Story Creative Writing | — | 75% |
| WildBench | — | 85.4% |
| LMArena Multi-Turn | — | 1350 |

## FAQ

### Is Kimi K2.7 Code better than o4-mini?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 41.6 on the Noometry Index.

### Which is cheaper, Kimi K2.7 Code or o4-mini?

Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; o4-mini lists at $1.10 and $4.40.

### Is Kimi K2.7 Code or o4-mini better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 40.9 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 200K.

### How many benchmarks do Kimi K2.7 Code and o4-mini share?

11 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and o4-mini has 60.