Noometry

Model comparison

gpt-oss-20b vs Mistral Nemo

gpt-oss-20b is the stronger model overall, scoring 32.5 to 26.4 on the Noometry Index.

Last verified . 4 shared benchmarks.

gpt-oss-20b OpenAI

32.5

Rank #255 Confirmed

Mistral Nemo Mistral AI

26.4

Rank #337 Confirmed

Summary

  • They share 4 benchmarks with published results for both. gpt-oss-20b scores higher in 3 categories and Mistral Nemo in 2 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where gpt-oss-20b leads 34.6 to 12.3.
  • The biggest single-benchmark swing is GPQA Diamond: 60.8% for gpt-oss-20b and 29.9% for Mistral Nemo.
  • gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.15 / $0.15 for Mistral Nemo.
  • gpt-oss-20b accepts more context: 131K tokens versus 128K.

Side by side

gpt-oss-20bMistral Nemo
ProviderOpenAIMistral AI
Noometry Index32.526.4
Released2025-08-052024-07-01
WeightsOpenOpen
Context window131K128K
Max output16K128K
Input $ / M tokens$0.018$0.15
Output $ / M tokens$0.09$0.15
Results tracked3410

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Category by category

Coding Not comparable

gpt-oss-20b: 37.6 (#192), Mistral Nemo: —

Benchmarkgpt-oss-20bMistral Nemo
SciCode34.4%—
WeirdML40.9%—
LMArena Coding1306—
ALE-Bench566.05—

Agentic & Tool Use Mistral Nemo leads

gpt-oss-20b: 9.3 (#154), Mistral Nemo: 23.5 (#125)

Benchmarkgpt-oss-20bMistral Nemo
Terminal-Bench3.4%—
Berkeley Function Calling Leaderboard—27.6%
BALROG—17.6%

Reasoning Mistral Nemo leads

gpt-oss-20b: 19.3 (#261), Mistral Nemo: 20.7 (#232)

Benchmarkgpt-oss-20bMistral Nemo
DTBench68%48.6%
Epoch Capabilities Index137.82118.68
Kagi LLM Benchmark53.2%—
CritPt1.4%—
Chess Puzzles4%—
LMArena Hard Prompts1274—
LMCA14.5%—
PIQA—83.5%

Math gpt-oss-20b leads

gpt-oss-20b: 39.4 (#103), Mistral Nemo: 25.5 (#268)

Benchmarkgpt-oss-20bMistral Nemo
OTIS Mock AIME 2024-202565.3%—
Omni-MATH56.5%—
LMArena Math1317—
MATH Level 5—10.8%
GSM8K—84.2%

Knowledge gpt-oss-20b leads

gpt-oss-20b: 34.6 (#195), Mistral Nemo: 12.3 (#298)

Benchmarkgpt-oss-20bMistral Nemo
GPQA Diamond60.8%29.9%
MMLU-Pro74%—
GPQA (HELM)59.4%—
LMArena Expert1258—
BoolQ—82.5%

Multilingual Not comparable

gpt-oss-20b: 42.2 (#197), Mistral Nemo: —

Benchmarkgpt-oss-20bMistral Nemo
LMArena Non-English1268—
LMArena Chinese1314—
LMArena German1255—
LMArena Japanese1244—
LMArena Korean1236—
LMArena Russian1278—
LMArena Spanish1267—

Instruction Following Not comparable

gpt-oss-20b: 61.8 (#240), Mistral Nemo: —

Benchmarkgpt-oss-20bMistral Nemo
IFEval73.2%—
LMArena Instruction Following1236—

Long Context Not comparable

gpt-oss-20b: 37.9 (#209), Mistral Nemo: —

Benchmarkgpt-oss-20bMistral Nemo
LMArena Longer Query1250—

Writing & Preference gpt-oss-20b leads

gpt-oss-20b: 35.5 (#265), Mistral Nemo: 28.5 (#296)

Benchmarkgpt-oss-20bMistral Nemo
EQ-Bench Creative Writing666881
LMArena Text1287—
LMArena Creative Writing1201—
WildBench73.7%—
LMArena Multi-Turn1268—

Frequently asked questions

Is gpt-oss-20b better than Mistral Nemo?

gpt-oss-20b is the stronger model overall, scoring 32.5 to 26.4 on the Noometry Index.

Which is cheaper, gpt-oss-20b or Mistral Nemo?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Mistral Nemo lists at $0.15 and $0.15.

Which has the bigger context window?

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

How many benchmarks do gpt-oss-20b and Mistral Nemo share?

4 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Mistral Nemo has 10.

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