Model comparison

gpt-oss-120b vs Qwen-14B

gpt-oss-120b is the stronger model overall, scoring 36.3 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

gpt-oss-120b OpenAI

36.3

Rank #217 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. gpt-oss-120b scores higher in 7 categories and Qwen-14B in 0 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in math, where gpt-oss-120b leads 52.5 to 31.2.

Side by side

gpt-oss-120b and Qwen-14B specifications
gpt-oss-120bQwen-14B
ProviderOpenAIAlibaba (Qwen)
Noometry Index36.331.4
Released2025-08-052023-09-24
WeightsOpenOpen
Context window131K—
Max output41K—
Input $ / M tokens$0.037—
Output $ / M tokens$0.17—
Results tracked4818

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

Category by category

Coding gpt-oss-120b leads

gpt-oss-120b: 33.5 (#256), Qwen-14B: 31.2 (#288)

Coding benchmarks
Benchmarkgpt-oss-120bQwen-14B
LMArena Coding13801071
SWE-bench Verified (bash only)26%—
Aider Polyglot41.8%—
SciCode36%—
WeirdML48.2%—
ALE-Bench575.62—
AlgoTune1.41—

Agentic & Tool Use Not comparable

gpt-oss-120b: 12.2 (#153), Qwen-14B: —

Agentic & Tool Use benchmarks
Benchmarkgpt-oss-120bQwen-14B
Terminal-Bench18.7%—
APEX-Agents4.4%—
METR Time Horizons56.6%—
Vending-Bench 2-21.53—

Reasoning Too close to call

gpt-oss-120b: 20.0 (#245), Qwen-14B: 19.6 (#257)

Reasoning benchmarks
Benchmarkgpt-oss-120bQwen-14B
LMArena Hard Prompts13641027
Epoch Capabilities Index139.93113.03
SimpleBench22.1%—
Kagi LLM Benchmark58.6%—
CritPt1.1%—
Chess Puzzles20%—
Mystery Game Puzzles2%—
DTBench76.3%—
LMCA22.1%—
Surface Evolver Bench25%—
BIG-Bench Hard—55%
LAMBADA—71.1%
PIQA—79.9%

Math gpt-oss-120b leads

gpt-oss-120b: 52.5 (#50), Qwen-14B: 31.2 (#227)

Math benchmarks
Benchmarkgpt-oss-120bQwen-14B
LMArena Math13891068
OTIS Mock AIME 2024-202588.9%—
Omni-MATH68.8%—
GSM8K—61.3%

Knowledge Not comparable

gpt-oss-120b: 42.4 (#96), Qwen-14B: —

Knowledge benchmarks
Benchmarkgpt-oss-120bQwen-14B
GPQA Diamond75.8%—
MMLU-Pro79.5%—
Confabulations15.7%—
Vectara Hallucination Rate14.2%—
GPQA (HELM)68.4%—
LMArena Expert1356—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multilingual gpt-oss-120b leads

gpt-oss-120b: 48.0 (#147), Qwen-14B: 27.5 (#275)

Multilingual benchmarks
Benchmarkgpt-oss-120bQwen-14B
LMArena Non-English13511041
LMArena Chinese13851077
LMArena French1369—
LMArena German1353—
LMArena Japanese1331—
LMArena Korean1282—
LMArena Russian1343—
LMArena Spanish1389—

Instruction Following gpt-oss-120b leads

gpt-oss-120b: 69.3 (#173), Qwen-14B: 52.4 (#289)

Instruction Following benchmarks
Benchmarkgpt-oss-120bQwen-14B
LMArena Instruction Following13181031
IFEval83.6%—

Long Context Too close to call

gpt-oss-120b: 31.4 (#278), Qwen-14B: 31.3 (#280)

Long Context benchmarks
Benchmarkgpt-oss-120bQwen-14B
LMArena Longer Query13191028
Fiction.LiveBench44.4%—

Writing & Preference gpt-oss-120b leads

gpt-oss-120b: 46.5 (#217), Qwen-14B: 27.6 (#299)

Writing & Preference benchmarks
Benchmarkgpt-oss-120bQwen-14B
LMArena Text13651051
LMArena Creative Writing12751028
LMArena Multi-Turn13401022
Short-Story Creative Writing77.1%—
EQ-Bench Creative Writing961—
WildBench84.5%—

Frequently asked questions

Is gpt-oss-120b better than Qwen-14B?

gpt-oss-120b is the stronger model overall, scoring 36.3 to 31.4 on the Noometry Index.

Is gpt-oss-120b or Qwen-14B better for coding?

gpt-oss-120b scores higher on coding benchmarks: 33.5 versus 31.2 in the Noometry coding category.

How many benchmarks do gpt-oss-120b and Qwen-14B share?

11 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Qwen-14B has 18.

Related comparisons

Go deeper