Model comparison

DeepSeek Coder 6.7B vs gpt-oss-20b

gpt-oss-20b has enough public results to be ranked (#249); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

DeepSeek Coder 6.7B DeepSeek

37.1

Unranked Sparse

gpt-oss-20b OpenAI

32.1

Rank #249 Confirmed

Summary

  • They share 1 benchmark with published results for both. DeepSeek Coder 6.7B scores higher in 0 categories and gpt-oss-20b in 1 category; one gap is clear of the uncertainty.

Side by side

DeepSeek Coder 6.7B and gpt-oss-20b specifications
DeepSeek Coder 6.7Bgpt-oss-20b
ProviderDeepSeekOpenAI
Noometry Index37.132.1
Released2023-11-022025-08-05
WeightsOpenOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.018
Output $ / M tokens—$0.09
Results tracked934

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

Category by category

Coding gpt-oss-20b leads

DeepSeek Coder 6.7B: 35.2 (#216), gpt-oss-20b: 37.1 (#185)

Coding benchmarks
BenchmarkDeepSeek Coder 6.7Bgpt-oss-20b
SciCode—34.4%
WeirdML—40.9%
BigCodeBench Instruct35.5%—
LMArena Coding—1307
BigCodeBench Complete43.8%—
ALE-Bench—566.05
HumanEval+71.3%—
MBPP+65.6%—

Agentic & Tool Use Not comparable

DeepSeek Coder 6.7B: —, gpt-oss-20b: 9.2 (#146)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek Coder 6.7Bgpt-oss-20b
Terminal-Bench—3.4%

Reasoning Not comparable

DeepSeek Coder 6.7B: —, gpt-oss-20b: 18.8 (#251)

Reasoning benchmarks
BenchmarkDeepSeek Coder 6.7Bgpt-oss-20b
Epoch Capabilities Index88.88137.81
Kagi LLM Benchmark—53.2%
CritPt—1.4%
Chess Puzzles—4%
LMArena Hard Prompts—1274
DTBench—68%
LMCA—14.5%
WinoGrande57.6%—

Math Not comparable

DeepSeek Coder 6.7B: —, gpt-oss-20b: 37.6 (#93)

Math benchmarks
BenchmarkDeepSeek Coder 6.7Bgpt-oss-20b
OTIS Mock AIME 2024-2025—65.3%
Omni-MATH—56.5%
LMArena Math—1317
GSM8K21.3%—

Knowledge Not comparable

DeepSeek Coder 6.7B: —, gpt-oss-20b: 34.6 (#186)

Knowledge benchmarks
BenchmarkDeepSeek Coder 6.7Bgpt-oss-20b
GPQA Diamond—60.8%
MMLU-Pro—74%
GPQA (HELM)—59.4%
LMArena Expert—1258
ARC (AI2) Challenge36.4%—
MMLU36.4%—

Multilingual Not comparable

DeepSeek Coder 6.7B: —, gpt-oss-20b: 42.4 (#192)

Multilingual benchmarks
BenchmarkDeepSeek Coder 6.7Bgpt-oss-20b
LMArena Non-English—1269
LMArena Chinese—1311
LMArena German—1249
LMArena Japanese—1245
LMArena Korean—1239
LMArena Russian—1279
LMArena Spanish—1267

Instruction Following Not comparable

DeepSeek Coder 6.7B: —, gpt-oss-20b: 62.0 (#235)

Instruction Following benchmarks
BenchmarkDeepSeek Coder 6.7Bgpt-oss-20b
IFEval—73.2%
LMArena Instruction Following—1236

Long Context Not comparable

DeepSeek Coder 6.7B: —, gpt-oss-20b: 37.9 (#203)

Long Context benchmarks
BenchmarkDeepSeek Coder 6.7Bgpt-oss-20b
LMArena Longer Query—1251

Writing & Preference Not comparable

DeepSeek Coder 6.7B: —, gpt-oss-20b: 35.8 (#260)

Writing & Preference benchmarks
BenchmarkDeepSeek Coder 6.7Bgpt-oss-20b
LMArena Text—1288
LMArena Creative Writing—1201
EQ-Bench Creative Writing—666
WildBench—73.7%
LMArena Multi-Turn—1268

Frequently asked questions

Is DeepSeek Coder 6.7B better than gpt-oss-20b?

gpt-oss-20b has enough public results to be ranked (#249); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

Is DeepSeek Coder 6.7B or gpt-oss-20b better for coding?

gpt-oss-20b scores higher on coding benchmarks: 37.1 versus 35.2 in the Noometry coding category.

How many benchmarks do DeepSeek Coder 6.7B and gpt-oss-20b share?

1 benchmark has published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and gpt-oss-20b has 34.

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