Model comparison
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.
Last verified . 0 shared benchmarks.
PoolsideSummary
- 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.
Side by side
| gpt-oss-20b | Laguna M.1 | |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 32.5 | 32.5 |
| Released | 2025-08-05 | 2026-04-28 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 16K | 33K |
| Input $ / M tokens | $0.018 | — |
| Output $ / M tokens | $0.09 | — |
| Results tracked | 34 | 3 |
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Category by category
Coding Too close to call
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 Not comparable
gpt-oss-20b: 9.3 (#154), Laguna M.1: —
| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning Laguna M.1 leads
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 leads
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 Not comparable
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 Not comparable
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 Not comparable
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 Not comparable
gpt-oss-20b: 37.9 (#209), Laguna M.1: —
| Benchmark | gpt-oss-20b | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1250 | — |
Writing & Preference Not comparable
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 | — |
Frequently asked questions
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.