Model comparison

gpt-oss-20b vs Magistral Small

gpt-oss-20b is the stronger model overall, scoring 32.5 to 30.2 on the Noometry Index.

Last verified . 8 shared benchmarks.

gpt-oss-20b OpenAI

32.5

Rank #255 Confirmed

Magistral Small Mistral AI

30.2

Rank #296 Confirmed

Summary

  • They share 8 benchmarks with published results for both. gpt-oss-20b scores higher in 3 categories and Magistral Small in 1 category; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where gpt-oss-20b leads 39.4 to 26.2.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 53.2% for gpt-oss-20b and 6.3% for Magistral Small.
  • gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
  • gpt-oss-20b accepts more context: 131K tokens versus 128K.

Side by side

gpt-oss-20b and Magistral Small specifications
gpt-oss-20bMagistral Small
ProviderOpenAIMistral AI
Noometry Index32.530.2
Released2025-08-052025-06-10
WeightsOpenOpen
Context window131K128K
Max output16K40K
Input $ / M tokens$0.018$0.50
Output $ / M tokens$0.09$1.50
Results tracked3410

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Too close to call

gpt-oss-20b: 37.6 (#192), Magistral Small: 38.4 (#176)

Coding benchmarks
Benchmarkgpt-oss-20bMagistral Small
SciCode34.4%35.2%
WeirdML40.9%—
LMArena Coding1306—
ALE-Bench566.05—

Agentic & Tool Use Not comparable

gpt-oss-20b: 9.3 (#154), Magistral Small: —

Agentic & Tool Use benchmarks
Benchmarkgpt-oss-20bMagistral Small
Terminal-Bench3.4%—

Reasoning gpt-oss-20b leads

gpt-oss-20b: 19.3 (#261), Magistral Small: 6.8 (#350)

Reasoning benchmarks
Benchmarkgpt-oss-20bMagistral Small
Kagi LLM Benchmark53.2%6.3%
CritPt1.4%0.3%
Chess Puzzles4%3%
DTBench68%61.3%
Epoch Capabilities Index137.82133.19
ARC-AGI-2—0%
ARC-AGI-1—5%
LMArena Hard Prompts1274—
LMCA14.5%—

Math gpt-oss-20b leads

gpt-oss-20b: 39.4 (#103), Magistral Small: 26.2 (#261)

Math benchmarks
Benchmarkgpt-oss-20bMagistral Small
OTIS Mock AIME 2024-202565.3%30%
Omni-MATH56.5%—
LMArena Math1317—

Knowledge gpt-oss-20b leads

gpt-oss-20b: 34.6 (#195), Magistral Small: 30.9 (#223)

Knowledge benchmarks
Benchmarkgpt-oss-20bMagistral Small
GPQA Diamond60.8%56.1%
MMLU-Pro74%—
GPQA (HELM)59.4%—
LMArena Expert1258—

Multilingual Not comparable

gpt-oss-20b: 42.2 (#197), Magistral Small: —

Multilingual benchmarks
Benchmarkgpt-oss-20bMagistral Small
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), Magistral Small: —

Instruction Following benchmarks
Benchmarkgpt-oss-20bMagistral Small
IFEval73.2%—
LMArena Instruction Following1236—

Long Context Not comparable

gpt-oss-20b: 37.9 (#209), Magistral Small: —

Long Context benchmarks
Benchmarkgpt-oss-20bMagistral Small
LMArena Longer Query1250—

Writing & Preference Not comparable

gpt-oss-20b: 35.5 (#265), Magistral Small: —

Writing & Preference benchmarks
Benchmarkgpt-oss-20bMagistral Small
LMArena Text1287—
LMArena Creative Writing1201—
EQ-Bench Creative Writing666—
WildBench73.7%—
LMArena Multi-Turn1268—

Frequently asked questions

Is gpt-oss-20b better than Magistral Small?

gpt-oss-20b is the stronger model overall, scoring 32.5 to 30.2 on the Noometry Index.

Which is cheaper, gpt-oss-20b or Magistral Small?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Magistral Small lists at $0.50 and $1.50.

Is gpt-oss-20b or Magistral Small better for coding?

They score almost the same on coding (37.6 vs 38.4); test both on your own repository before choosing.

Which has the bigger context window?

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

How many benchmarks do gpt-oss-20b and Magistral Small share?

8 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Magistral Small has 10.

Related comparisons

Go deeper