# gpt-oss-20b vs Llama 4 Maverick

> gpt-oss-20b is the stronger model overall, scoring 32.5 to 30.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-oss-20b-vs-llama-4-maverick
- Last updated: 2026-10-12
- Shared benchmarks: 32

## Summary

- They share 32 benchmarks with published results for both. gpt-oss-20b scores higher in 5 categories and Llama 4 Maverick in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Llama 4 Maverick leads 28.2 to 9.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 65.3% for gpt-oss-20b and 20.6% for Llama 4 Maverick.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.19 / $0.65 for Llama 4 Maverick.
- gpt-oss-20b accepts more context: 131K tokens versus 128K.

## Snapshot

| | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 32.5 | 30.9 |
| Rank | 255 | 282 |
| Context | 131K | 128K |
| Input $/M | $0.018 | $0.19 |
| Output $/M | $0.09 | $0.65 |
| Weights | Open | Open |

## Coding

- gpt-oss-20b: 37.6 (#192)
- Llama 4 Maverick: 26.6 (#324)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| SciCode | 34.4% | 33.1% |
| WeirdML | 40.9% | 24.5% |
| LMArena Coding | 1306 | 1302 |
| ALE-Bench | 566.05 | 172.97 |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| BigCodeBench Instruct | — | 49.7% |
| BigCodeBench Complete | — | 61.4% |

## Agentic & Tool Use

- gpt-oss-20b: 9.3 (#154)
- Llama 4 Maverick: 28.2 (#91)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| Terminal-Bench | 3.4% | — |
| Berkeley Function Calling Leaderboard | — | 37.3% |

## Reasoning

- gpt-oss-20b: 19.3 (#261)
- Llama 4 Maverick: 10.1 (#342)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | 55.9% |
| CritPt | 1.4% | 0% |
| LMArena Hard Prompts | 1274 | 1281 |
| DTBench | 68% | 61.9% |
| LMCA | 14.5% | 15.9% |
| Epoch Capabilities Index | 137.82 | 132.2 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| Chess Puzzles | 4% | — |
| EnigmaEval | — | 0.6% |
| ForecastBench | — | 57.5 |

## Math

- gpt-oss-20b: 39.4 (#103)
- Llama 4 Maverick: 26.0 (#262)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | 20.6% |
| Omni-MATH | 56.5% | 42.2% |
| LMArena Math | 1317 | 1299 |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |

## Knowledge

- gpt-oss-20b: 34.6 (#195)
- Llama 4 Maverick: 33.4 (#204)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 60.8% | 67% |
| MMLU-Pro | 74% | 81% |
| GPQA (HELM) | 59.4% | 65% |
| LMArena Expert | 1258 | 1259 |
| Humanity's Last Exam | — | 5.7% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |

## Multimodal

- gpt-oss-20b: —
- Llama 4 Maverick: 31.6 (#105)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |

## Multilingual

- gpt-oss-20b: 42.2 (#197)
- Llama 4 Maverick: 42.2 (#195)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1268 | 1269 |
| LMArena Chinese | 1314 | 1277 |
| LMArena German | 1255 | 1291 |
| LMArena Japanese | 1244 | 1207 |
| LMArena Korean | 1236 | 1203 |
| LMArena Russian | 1278 | 1286 |
| LMArena Spanish | 1267 | 1293 |
| LMArena French | — | 1259 |

## Instruction Following

- gpt-oss-20b: 61.8 (#240)
- Llama 4 Maverick: 71.7 (#146)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| IFEval | 73.2% | 90.8% |
| LMArena Instruction Following | 1236 | 1267 |

## Long Context

- gpt-oss-20b: 37.9 (#209)
- Llama 4 Maverick: 31.4 (#279)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1250 | 1280 |
| Fiction.LiveBench | — | 46.2% |

## Writing & Preference

- gpt-oss-20b: 35.5 (#265)
- Llama 4 Maverick: 38.8 (#252)

| Benchmark | gpt-oss-20b | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1287 | 1287 |
| LMArena Creative Writing | 1201 | 1267 |
| EQ-Bench Creative Writing | 666 | 860 |
| WildBench | 73.7% | 80% |
| LMArena Multi-Turn | 1268 | 1289 |
| Short-Story Creative Writing | — | 62% |

## FAQ

### Is gpt-oss-20b better than Llama 4 Maverick?

gpt-oss-20b is the stronger model overall, scoring 32.5 to 30.9 on the Noometry Index.

### Which is cheaper, gpt-oss-20b or Llama 4 Maverick?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Llama 4 Maverick lists at $0.19 and $0.65.

### Is gpt-oss-20b or Llama 4 Maverick better for coding?

gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 26.6 in the Noometry coding category.

### Which has the bigger context window?

gpt-oss-20b does, with 131K tokens against 128K.

### How many benchmarks do gpt-oss-20b and Llama 4 Maverick share?

32 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Llama 4 Maverick has 54.