# GPT-4o mini vs Kimi K2.6

> Kimi K2.6 is the stronger model overall, scoring 47.5 to 25.4 on the Noometry Index. GPT-4o mini costs 6.5× less per token, which makes it the better buy when Kimi K2.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-4o-mini-vs-kimi-k2-6
- Last updated: 2026-10-10
- Shared benchmarks: 29

## Summary

- They share 29 benchmarks with published results for both. GPT-4o mini scores higher in 1 category and Kimi K2.6 in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.6 leads 56.8 to 9.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.9% for GPT-4o mini and 96.1% for Kimi K2.6.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.95 / $4 for Kimi K2.6.
- Kimi K2.6 accepts more context: 262K tokens versus 128K.
- Kimi K2.6 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 25.4 | 47.5 |
| Rank | 337 | 52 |
| Context | 128K | 262K |
| Input $/M | $0.15 | $0.95 |
| Output $/M | $0.60 | $4 |
| Weights | Proprietary | Open |

## Coding

- GPT-4o mini: 21.6 (#330)
- Kimi K2.6: 50.5 (#41)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| WeirdML | 11.8% | 55.9% |
| LMArena Coding | 1290 | 1488 |
| SWE-bench Verified | — | 76.7% |
| Aider Polyglot | 3.6% | — |
| LMArena WebDev | — | 1509 |
| SciCode | — | 53.5% |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| BigCodeBench Complete | 57.4% | — |
| ALE-Bench | — | 1,093 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |

## Agentic & Tool Use

- GPT-4o mini: 27.2 (#95)
- Kimi K2.6: 21.8 (#128)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| OSWorld 2.0 | — | 4.6% |
| BALROG | 17.4% | — |
| ExploitBench | — | 18.4% |
| GBAEval | — | 0.9% |
| GDP.pdf | — | 12% |
| Vending-Bench 2 | — | 6,205 |

## Reasoning

- GPT-4o mini: 8.7 (#343)
- Kimi K2.6: 39.6 (#51)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| Chess Puzzles | 0% | 26% |
| LMArena Hard Prompts | 1267 | 1470 |
| Mystery Game Puzzles | 12% | 18% |
| DTBench | 54.4% | 90.9% |
| LMCA | 10.4% | 37.3% |
| Epoch Capabilities Index | 126.56 | 151.03 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| NYT Connections (extended) | — | 87.2% |
| CritPt | — | 8% |
| EBR-Bench | — | 2.4% |
| LiveBench Reasoning | 32.8% | — |
| LiveBench Data Analysis | 50% | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |

## Math

- GPT-4o mini: 9.9 (#307)
- Kimi K2.6: 56.8 (#34)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | 57.2% |
| OTIS Mock AIME 2024-2025 | 6.9% | 96.1% |
| LMArena Math | 1267 | 1475 |
| FrontierMath Tier 4 | — | 25.6% |
| MathArena Final-Answer Competitions | — | 72.9% |
| ProofBench | — | 16% |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
| GSM8K | 91.3% | — |

## Knowledge

- GPT-4o mini: 17.7 (#279)
- Kimi K2.6: 53.9 (#48)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| GPQA Diamond | 37.7% | 90.8% |
| SimpleQA Verified | 8.3% | 34.9% |
| LMArena Expert | 1235 | 1491 |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| Vectara Hallucination Rate | — | 10.8% |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |

## Multimodal

- GPT-4o mini: 25.3 (#117)
- Kimi K2.6: 31.8 (#95)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| LMArena Vision | 1066 | 1282 |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
| Blueprint-Bench 2 | — | 3.9% |
| Furniture Assembly | — | 21.7% |
| LMArena Document | — | 1451 |

## Multilingual

- GPT-4o mini: 42.2 (#194)
- Kimi K2.6: 55.1 (#35)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| LMArena Non-English | 1266 | 1446 |
| LMArena Chinese | 1264 | 1521 |
| LMArena French | 1296 | 1471 |
| LMArena German | 1272 | 1449 |
| LMArena Japanese | 1216 | 1442 |
| LMArena Korean | 1195 | 1428 |
| LMArena Russian | 1275 | 1446 |
| LMArena Spanish | 1276 | 1463 |

## Instruction Following

- GPT-4o mini: 62.1 (#234)
- Kimi K2.6: 76.5 (#40)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| LMArena Instruction Following | 1259 | 1451 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |

## Long Context

- GPT-4o mini: 39.1 (#181)
- Kimi K2.6: 44.9 (#50)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| LMArena Longer Query | 1289 | 1468 |

## Writing & Preference

- GPT-4o mini: 39.7 (#243)
- Kimi K2.6: 68.7 (#25)

| Benchmark | GPT-4o mini | Kimi K2.6 |
|---|---|---|
| LMArena Text | 1286 | 1455 |
| LMArena Creative Writing | 1268 | 1434 |
| EQ-Bench Creative Writing | 873 | 1725 |
| LMArena Multi-Turn | 1285 | 1453 |
| Short-Story Creative Writing | 67.2% | — |
| WildBench | 79.1% | — |
| EQ-Bench 4 | — | 1202 |
| LiveBench Language | 28.6% | — |

## FAQ

### Is GPT-4o mini better than Kimi K2.6?

Kimi K2.6 is the stronger model overall, scoring 47.5 to 25.4 on the Noometry Index. GPT-4o mini costs 6.5× less per token, which makes it the better buy when Kimi K2.6's lead doesn't matter for your workload.

### Which is cheaper, GPT-4o mini or Kimi K2.6?

GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Kimi K2.6 lists at $0.95 and $4.

### Is GPT-4o mini or Kimi K2.6 better for coding?

Kimi K2.6 scores higher on coding benchmarks: 50.5 versus 21.6 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.6 does, with 262K tokens against 128K.

### How many benchmarks do GPT-4o mini and Kimi K2.6 share?

29 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Kimi K2.6 has 51.