# gpt-oss-20b vs Laguna M.1

> gpt-oss-20b and Laguna M.1 score almost the same on the Noometry Index (32.5 vs 32.5), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-oss-20b-vs-laguna-m-1
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where gpt-oss-20b leads 39.4 to 21.1.
- Laguna M.1 accepts more context: 262K tokens versus 131K.

## Snapshot

| | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 32.5 | 32.5 |
| Rank | 255 | 256 |
| Context | 131K | 262K |
| Input $/M | $0.018 | — |
| Output $/M | $0.09 | — |
| Weights | Open | Open |

## Coding

- gpt-oss-20b: 37.6 (#192)
- Laguna M.1: 36.6 (#204)

| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1349 |
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| LMArena Coding | 1306 | — |
| ALE-Bench | 566.05 | — |

## Agentic & Tool Use

- gpt-oss-20b: 9.3 (#154)
- Laguna M.1: —

| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| Terminal-Bench | 3.4% | — |

## Reasoning

- gpt-oss-20b: 19.3 (#261)
- Laguna M.1: 23.1 (#184)

| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | 1274 | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 137.82 | — |

## Math

- gpt-oss-20b: 39.4 (#103)
- Laguna M.1: 21.1 (#283)

| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| ProofBench | — | 0% |
| Omni-MATH | 56.5% | — |
| LMArena Math | 1317 | — |

## Knowledge

- gpt-oss-20b: 34.6 (#195)
- Laguna M.1: —

| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |

## Multilingual

- gpt-oss-20b: 42.2 (#197)
- Laguna M.1: —

| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1268 | — |
| LMArena Chinese | 1314 | — |
| LMArena German | 1255 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1236 | — |
| LMArena Russian | 1278 | — |
| LMArena Spanish | 1267 | — |

## Instruction Following

- gpt-oss-20b: 61.8 (#240)
- Laguna M.1: —

| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| IFEval | 73.2% | — |
| LMArena Instruction Following | 1236 | — |

## Long Context

- gpt-oss-20b: 37.9 (#209)
- Laguna M.1: —

| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1250 | — |

## Writing & Preference

- gpt-oss-20b: 35.5 (#265)
- Laguna M.1: —

| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1201 | — |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
| LMArena Multi-Turn | 1268 | — |

## FAQ

### Is gpt-oss-20b better than Laguna M.1?

gpt-oss-20b and Laguna M.1 score almost the same on the Noometry Index (32.5 vs 32.5), so choose on price, context window or the category you care about most.

### Is gpt-oss-20b or Laguna M.1 better for coding?

They score almost the same on coding (37.6 vs 36.6); test both on your own repository before choosing.

### Which has the bigger context window?

Laguna M.1 does, with 262K tokens against 131K.

### How many benchmarks do gpt-oss-20b and Laguna M.1 share?

0 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Laguna M.1 has 3.