# gpt-oss-20b vs Kimi K2.6

> Kimi K2.6 is the stronger model overall, scoring 47.5 to 32.1 on the Noometry Index. gpt-oss-20b costs 48× 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-oss-20b-vs-kimi-k2-6
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. gpt-oss-20b scores higher in 0 categories and Kimi K2.6 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2.6 leads 68.7 to 35.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 65.3% for gpt-oss-20b and 96.1% for Kimi K2.6.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.95 / $4 for Kimi K2.6.
- Kimi K2.6 accepts more context: 262K tokens versus 131K.

## Snapshot

| | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 32.1 | 47.5 |
| Rank | 249 | 52 |
| Context | 131K | 262K |
| Input $/M | $0.018 | $0.95 |
| Output $/M | $0.09 | $4 |
| Weights | Open | Open |

## Coding

- gpt-oss-20b: 37.1 (#185)
- Kimi K2.6: 50.5 (#41)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| SciCode | 34.4% | 53.5% |
| WeirdML | 40.9% | 55.9% |
| LMArena Coding | 1307 | 1488 |
| ALE-Bench | 566.05 | 1,093 |
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1509 |

## Agentic & Tool Use

- gpt-oss-20b: 9.2 (#146)
- Kimi K2.6: 21.8 (#128)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| Terminal-Bench | 3.4% | — |
| OSWorld 2.0 | — | 4.6% |
| ExploitBench | — | 18.4% |
| GBAEval | — | 0.9% |
| GDP.pdf | — | 12% |
| Vending-Bench 2 | — | 6,205 |

## Reasoning

- gpt-oss-20b: 18.8 (#251)
- Kimi K2.6: 39.6 (#51)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| CritPt | 1.4% | 8% |
| Chess Puzzles | 4% | 26% |
| LMArena Hard Prompts | 1274 | 1470 |
| DTBench | 68% | 90.9% |
| LMCA | 14.5% | 37.3% |
| Epoch Capabilities Index | 137.81 | 151.03 |
| Kagi LLM Benchmark | 53.2% | — |
| NYT Connections (extended) | — | 87.2% |
| EBR-Bench | — | 2.4% |
| Mystery Game Puzzles | — | 18% |

## Math

- gpt-oss-20b: 37.6 (#93)
- Kimi K2.6: 56.8 (#34)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | 96.1% |
| LMArena Math | 1317 | 1475 |
| FrontierMath (Tiers 1-3) | — | 57.2% |
| FrontierMath Tier 4 | — | 25.6% |
| MathArena Final-Answer Competitions | — | 72.9% |
| ProofBench | — | 16% |
| Omni-MATH | 56.5% | — |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- gpt-oss-20b: 34.6 (#186)
- Kimi K2.6: 53.9 (#48)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| GPQA Diamond | 60.8% | 90.8% |
| LMArena Expert | 1258 | 1491 |
| SimpleQA Verified | — | 34.9% |
| MMLU-Pro | 74% | — |
| Vectara Hallucination Rate | — | 10.8% |
| GPQA (HELM) | 59.4% | — |

## Multimodal

- gpt-oss-20b: —
- Kimi K2.6: 31.8 (#95)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| LMArena Vision | — | 1282 |
| Blueprint-Bench 2 | — | 3.9% |
| Furniture Assembly | — | 21.7% |
| LMArena Document | — | 1451 |

## Multilingual

- gpt-oss-20b: 42.4 (#192)
- Kimi K2.6: 55.1 (#35)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| LMArena Non-English | 1269 | 1446 |
| LMArena Chinese | 1311 | 1521 |
| LMArena German | 1249 | 1449 |
| LMArena Japanese | 1245 | 1442 |
| LMArena Korean | 1239 | 1428 |
| LMArena Russian | 1279 | 1446 |
| LMArena Spanish | 1267 | 1463 |
| LMArena French | — | 1471 |

## Instruction Following

- gpt-oss-20b: 62.0 (#235)
- Kimi K2.6: 76.5 (#40)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| LMArena Instruction Following | 1236 | 1451 |
| IFEval | 73.2% | — |

## Long Context

- gpt-oss-20b: 37.9 (#203)
- Kimi K2.6: 44.9 (#50)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| LMArena Longer Query | 1251 | 1468 |

## Writing & Preference

- gpt-oss-20b: 35.8 (#260)
- Kimi K2.6: 68.7 (#25)

| Benchmark | gpt-oss-20b | Kimi K2.6 |
|---|---|---|
| LMArena Text | 1288 | 1455 |
| LMArena Creative Writing | 1201 | 1434 |
| EQ-Bench Creative Writing | 666 | 1725 |
| LMArena Multi-Turn | 1268 | 1453 |
| WildBench | 73.7% | — |
| EQ-Bench 4 | — | 1202 |

## FAQ

### Is gpt-oss-20b better than Kimi K2.6?

Kimi K2.6 is the stronger model overall, scoring 47.5 to 32.1 on the Noometry Index. gpt-oss-20b costs 48× 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-oss-20b or Kimi K2.6?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Kimi K2.6 lists at $0.95 and $4.

### Is gpt-oss-20b or Kimi K2.6 better for coding?

Kimi K2.6 scores higher on coding benchmarks: 50.5 versus 37.1 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.6 does, with 262K tokens against 131K.

### How many benchmarks do gpt-oss-20b and Kimi K2.6 share?

27 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Kimi K2.6 has 51.