Model comparison

gpt-oss-120b vs Laguna M.1

gpt-oss-120b is the stronger model overall, scoring 36.0 to 31.9 on the Noometry Index.

Last verified . 1 shared benchmarks.

gpt-oss-120b OpenAI

36.0

Rank #210 Confirmed

Laguna M.1 Poolside

31.9

Rank #252 Reported

Summary

  • They share 1 benchmark with published results for both. gpt-oss-120b scores higher in 1 category and Laguna M.1 in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where gpt-oss-120b leads 50.6 to 20.3.
  • The biggest single-benchmark swing is Surface Evolver Bench: 25% for gpt-oss-120b and 15.6% for Laguna M.1.
  • Laguna M.1 accepts more context: 262K tokens versus 131K.

Side by side

gpt-oss-120b and Laguna M.1 specifications
gpt-oss-120bLaguna M.1
ProviderOpenAIPoolside
Noometry Index36.031.9
Released2025-08-052026-04-28
WeightsOpenOpen
Context window131K262K
Max output41K33K
Input $ / M tokens$0.037—
Output $ / M tokens$0.17—
Results tracked483

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Category by category

Coding Laguna M.1 leads

gpt-oss-120b: 33.2 (#251), Laguna M.1: 36.4 (#195)

Coding benchmarks
Benchmarkgpt-oss-120bLaguna M.1
SWE-bench Verified (bash only)26%—
Aider Polyglot41.8%—
LMArena WebDev—1348
SciCode36%—
WeirdML48.2%—
LMArena Coding1380—
ALE-Bench575.62—
AlgoTune1.41—

Agentic & Tool Use Not comparable

gpt-oss-120b: 12.1 (#145), Laguna M.1: —

Agentic & Tool Use benchmarks
Benchmarkgpt-oss-120bLaguna M.1
Terminal-Bench18.7%—
APEX-Agents4.4%—
METR Time Horizons56.6%—
Vending-Bench 2-21.53—

Reasoning Laguna M.1 leads

gpt-oss-120b: 19.5 (#236), Laguna M.1: 21.9 (#187)

Reasoning benchmarks
Benchmarkgpt-oss-120bLaguna M.1
Surface Evolver Bench25%15.6%
SimpleBench22.1%—
Kagi LLM Benchmark58.6%—
CritPt1.1%—
Chess Puzzles20%—
LMArena Hard Prompts1364—
Mystery Game Puzzles2%—
DTBench76.3%—
LMCA22.1%—
Epoch Capabilities Index139.94—

Math gpt-oss-120b leads

gpt-oss-120b: 50.6 (#43), Laguna M.1: 20.3 (#276)

Math benchmarks
Benchmarkgpt-oss-120bLaguna M.1
OTIS Mock AIME 2024-202588.9%—
ProofBench—0%
Omni-MATH68.8%—
LMArena Math1388—

Knowledge Not comparable

gpt-oss-120b: 42.3 (#89), Laguna M.1: —

Knowledge benchmarks
Benchmarkgpt-oss-120bLaguna M.1
GPQA Diamond75.8%—
MMLU-Pro79.5%—
Confabulations15.7%—
Vectara Hallucination Rate14.2%—
GPQA (HELM)68.4%—
LMArena Expert1356—

Multilingual Not comparable

gpt-oss-120b: 48.2 (#142), Laguna M.1: —

Multilingual benchmarks
Benchmarkgpt-oss-120bLaguna M.1
LMArena Non-English1350—
LMArena Chinese1384—
LMArena French1370—
LMArena German1355—
LMArena Japanese1332—
LMArena Korean1283—
LMArena Russian1343—
LMArena Spanish1388—

Instruction Following Not comparable

gpt-oss-120b: 69.5 (#168), Laguna M.1: —

Instruction Following benchmarks
Benchmarkgpt-oss-120bLaguna M.1
IFEval83.6%—
LMArena Instruction Following1318—

Long Context Not comparable

gpt-oss-120b: 31.4 (#273), Laguna M.1: —

Long Context benchmarks
Benchmarkgpt-oss-120bLaguna M.1
Fiction.LiveBench44.4%—
LMArena Longer Query1319—

Writing & Preference Not comparable

gpt-oss-120b: 46.7 (#213), Laguna M.1: —

Writing & Preference benchmarks
Benchmarkgpt-oss-120bLaguna M.1
LMArena Text1366—
LMArena Creative Writing1274—
Short-Story Creative Writing77.1%—
EQ-Bench Creative Writing961—
WildBench84.5%—
LMArena Multi-Turn1340—

Frequently asked questions

Is gpt-oss-120b better than Laguna M.1?

gpt-oss-120b is the stronger model overall, scoring 36.0 to 31.9 on the Noometry Index.

Is gpt-oss-120b or Laguna M.1 better for coding?

Laguna M.1 scores higher on coding benchmarks: 36.4 versus 33.2 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do gpt-oss-120b and Laguna M.1 share?

1 benchmark has published results for both models. gpt-oss-120b has 48 scored results on Noometry and Laguna M.1 has 3.

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