# GPT-6 Sol vs Kimi K2.6

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 47.5 on the Noometry Index. Kimi K2.6 costs 2.3× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-kimi-k2-6
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GPT-6 Sol scores higher in 5 categories and Kimi K2.6 in 5 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.6 leads 56.8 to 35.8.
- The biggest single-benchmark swing is EBR-Bench: 53.3% for GPT-6 Sol and 2.4% for Kimi K2.6.
- Kimi K2.6 is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 262K.
- Kimi K2.6 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 49.2 | 47.5 |
| Rank | 46 | 52 |
| Context | 1.05M | 262K |
| Input $/M | $2 | $0.95 |
| Output $/M | $10 | $4 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Sol: 59.6 (#11)
- Kimi K2.6: 50.5 (#41)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| LMArena WebDev | 1692 | 1509 |
| LMArena Coding | 1453 | 1488 |
| SWE-bench Verified | — | 76.7% |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| SciCode | — | 53.5% |
| WeirdML | — | 55.9% |
| ALE-Bench | — | 1,093 |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- Kimi K2.6: 21.8 (#128)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| GDP.pdf | 28% | 12% |
| OSWorld 2.0 | — | 4.6% |
| ExploitBench | — | 18.4% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 6,205 |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- Kimi K2.6: 39.6 (#51)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| NYT Connections (extended) | 90.1% | 87.2% |
| EBR-Bench | 53.3% | 2.4% |
| LMArena Hard Prompts | 1420 | 1470 |
| CritPt | — | 8% |
| Chess Puzzles | — | 26% |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 90.9% |
| LMCA | — | 37.3% |
| Epoch Capabilities Index | — | 151.03 |

## Math

- GPT-6 Sol: 35.8 (#135)
- Kimi K2.6: 56.8 (#34)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| LMArena Math | 1404 | 1475 |
| FrontierMath (Tiers 1-3) | — | 57.2% |
| FrontierMath Tier 4 | — | 25.6% |
| MathArena Final-Answer Competitions | — | 72.9% |
| OTIS Mock AIME 2024-2025 | — | 96.1% |
| ProofBench | — | 16% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- Kimi K2.6: 53.9 (#48)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| Vectara Hallucination Rate | 6.5% | 10.8% |
| LMArena Expert | 1449 | 1491 |
| GPQA Diamond | — | 90.8% |
| SimpleQA Verified | — | 34.9% |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- Kimi K2.6: 31.8 (#95)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| Furniture Assembly | 58.3% | 21.7% |
| LMArena Vision | — | 1282 |
| Blueprint-Bench 2 | — | 3.9% |
| LMArena Document | — | 1451 |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- Kimi K2.6: 55.1 (#35)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| LMArena Non-English | 1389 | 1446 |
| LMArena Chinese | 1416 | 1521 |
| LMArena Russian | 1407 | 1446 |
| LMArena Spanish | 1377 | 1463 |
| LMArena French | — | 1471 |
| LMArena German | — | 1449 |
| LMArena Japanese | — | 1442 |
| LMArena Korean | — | 1428 |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- Kimi K2.6: 76.5 (#40)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| LMArena Instruction Following | 1406 | 1451 |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- Kimi K2.6: 44.9 (#50)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| LMArena Longer Query | 1415 | 1468 |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- Kimi K2.6: 68.7 (#25)

| Benchmark | GPT-6 Sol | Kimi K2.6 |
|---|---|---|
| LMArena Text | 1396 | 1455 |
| LMArena Creative Writing | 1392 | 1434 |
| EQ-Bench Creative Writing | 2125 | 1725 |
| LMArena Multi-Turn | 1405 | 1453 |
| EQ-Bench 4 | — | 1202 |

## FAQ

### Is GPT-6 Sol better than Kimi K2.6?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 47.5 on the Noometry Index. Kimi K2.6 costs 2.3× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

### Which is cheaper, GPT-6 Sol or Kimi K2.6?

Kimi K2.6 is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is GPT-6 Sol or Kimi K2.6 better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 50.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 262K.

### How many benchmarks do GPT-6 Sol and Kimi K2.6 share?

20 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Kimi K2.6 has 51.