# Kimi K2.6 vs o4-mini

> Kimi K2.6 is the stronger model overall, scoring 47.5 to 41.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-6-vs-o4-mini
- Last updated: 2026-10-10
- Shared benchmarks: 34

## Summary

- They share 34 benchmarks with published results for both. Kimi K2.6 scores higher in 7 categories and o4-mini in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.6 leads 56.8 to 40.2.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 57.2% for Kimi K2.6 and 36.1% for o4-mini.
- Kimi K2.6 is cheaper at $0.95 / $4 per million input/output tokens, against $1.10 / $4.40 for o4-mini.
- Kimi K2.6 accepts more context: 262K tokens versus 200K.
- Kimi K2.6 has downloadable open weights; the other is API-only.

## Snapshot

| | Kimi K2.6 | o4-mini |
|---|---|---|
| Provider | Moonshot AI | OpenAI |
| Noometry Index | 47.5 | 41.6 |
| Rank | 52 | 119 |
| Context | 262K | 200K |
| Input $/M | $0.95 | $1.10 |
| Output $/M | $4 | $4.40 |
| Weights | Open | Proprietary |

## Coding

- Kimi K2.6: 50.5 (#41)
- o4-mini: 41.6 (#110)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| WeirdML | 55.9% | 52.6% |
| LMArena Coding | 1488 | 1369 |
| ALE-Bench | 1,093 | 826.17 |
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | — | 45% |
| Aider Polyglot | — | 72% |
| LMArena WebDev | 1509 | — |
| SciCode | 53.5% | — |
| GSO | — | 3.6% |
| CadEval | — | 62% |
| AlgoTune | — | 1.72 |

## Agentic & Tool Use

- Kimi K2.6: 21.8 (#128)
- o4-mini: 32.3 (#57)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 53.2% |
| OSWorld 2.0 | 4.6% | — |
| GDPval | — | 25.3% |
| ExploitBench | 18.4% | — |
| GBAEval | 0.9% | — |
| GDP.pdf | 12% | — |
| METR Time Horizons | — | 63.9% |
| Vending-Bench 2 | 6,205 | — |

## Reasoning

- Kimi K2.6: 39.6 (#51)
- o4-mini: 24.6 (#143)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| CritPt | 8% | 0.6% |
| Chess Puzzles | 26% | 26% |
| LMArena Hard Prompts | 1470 | 1351 |
| Mystery Game Puzzles | 18% | 5% |
| DTBench | 90.9% | 77.6% |
| LMCA | 37.3% | 26.5% |
| Epoch Capabilities Index | 151.03 | 145.63 |
| ARC-AGI-2 | — | 6.1% |
| SimpleBench | — | 38.7% |
| Kagi LLM Benchmark | — | 67.6% |
| NYT Connections (extended) | 87.2% | — |
| ARC-AGI-1 | — | 58.7% |
| EnigmaEval | — | 9.2% |
| EBR-Bench | 2.4% | — |
| ForecastBench | — | 61.8 |

## Math

- Kimi K2.6: 56.8 (#34)
- o4-mini: 40.2 (#79)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.2% | 36.1% |
| FrontierMath Tier 4 | 25.6% | 4.9% |
| OTIS Mock AIME 2024-2025 | 96.1% | 81.7% |
| LMArena Math | 1475 | 1390 |
| FrontierMath (Feb 2025 set) | 39% | 24.8% |
| FrontierMath Tier 4 (v1) | 14.6% | 6.3% |
| MathArena Final-Answer Competitions | 72.9% | — |
| ProofBench | 16% | — |
| Omni-MATH | — | 72% |
| MATH Level 5 | — | 97.8% |

## Knowledge

- Kimi K2.6: 53.9 (#48)
- o4-mini: 43.5 (#83)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| GPQA Diamond | 90.8% | 79.6% |
| SimpleQA Verified | 34.9% | 19.6% |
| Vectara Hallucination Rate | 10.8% | 18.6% |
| LMArena Expert | 1491 | 1344 |
| Humanity's Last Exam | — | 18.1% |
| MMLU-Pro | — | 82% |
| Confabulations | — | 15.8% |
| GPQA (HELM) | — | 73.5% |

## Multimodal

- Kimi K2.6: 31.8 (#95)
- o4-mini: 39.5 (#46)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| LMArena Vision | 1282 | 1194 |
| GeoBench | — | 64% |
| VPCT | — | 57.5% |
| Blueprint-Bench 2 | 3.9% | — |
| Furniture Assembly | 21.7% | — |
| LMArena Document | 1451 | — |

## Multilingual

- Kimi K2.6: 55.1 (#35)
- o4-mini: 47.2 (#149)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| LMArena Non-English | 1446 | 1336 |
| LMArena Chinese | 1521 | 1355 |
| LMArena French | 1471 | 1362 |
| LMArena German | 1449 | 1336 |
| LMArena Japanese | 1442 | 1308 |
| LMArena Korean | 1428 | 1313 |
| LMArena Russian | 1446 | 1334 |
| LMArena Spanish | 1463 | 1346 |

## Instruction Following

- Kimi K2.6: 76.5 (#40)
- o4-mini: 75.4 (#63)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| LMArena Instruction Following | 1451 | 1321 |
| IFEval | — | 92.8% |

## Long Context

- Kimi K2.6: 44.9 (#50)
- o4-mini: 45.5 (#31)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| LMArena Longer Query | 1468 | 1315 |
| Fiction.LiveBench | — | 77.8% |

## Writing & Preference

- Kimi K2.6: 68.7 (#25)
- o4-mini: 54.2 (#148)

| Benchmark | Kimi K2.6 | o4-mini |
|---|---|---|
| LMArena Text | 1455 | 1353 |
| LMArena Creative Writing | 1434 | 1294 |
| LMArena Multi-Turn | 1453 | 1350 |
| Short-Story Creative Writing | — | 75% |
| EQ-Bench Creative Writing | 1725 | — |
| WildBench | — | 85.4% |
| EQ-Bench 4 | 1202 | — |

## FAQ

### Is Kimi K2.6 better than o4-mini?

Kimi K2.6 is the stronger model overall, scoring 47.5 to 41.6 on the Noometry Index.

### Which is cheaper, Kimi K2.6 or o4-mini?

Kimi K2.6 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 K2.6 or o4-mini better for coding?

Kimi K2.6 scores higher on coding benchmarks: 50.5 versus 41.6 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.6 does, with 262K tokens against 200K.

### How many benchmarks do Kimi K2.6 and o4-mini share?

34 benchmarks have published results for both models. Kimi K2.6 has 51 scored results on Noometry and o4-mini has 60.