Model comparison

DeepSeek-V3.1 vs gpt-oss-120b

DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 36.0 on the Noometry Index. gpt-oss-120b costs 6.0× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.

Last verified October 10, 2026. 26 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.2

Rank #106 Confirmed

gpt-oss-120b OpenAI

36.0

Rank #210 Confirmed

Summary

They share 26 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and gpt-oss-120b in 1 category; 7 gaps are clear of the uncertainty.
The widest gap is in math, where gpt-oss-120b leads 50.6 to 36.1.
The biggest single-benchmark swing is SimpleBench: 40% for DeepSeek-V3.1 and 22.1% for gpt-oss-120b.
gpt-oss-120b is cheaper at $0.037 / $0.17 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
DeepSeek-V3.1 accepts more context: 164K tokens versus 131K.

Side by side

DeepSeek-V3.1 and gpt-oss-120b specifications
	DeepSeek-V3.1	gpt-oss-120b
Provider	DeepSeek	OpenAI
Noometry Index	42.2	36.0
Released	2025-08-21	2025-08-05
Weights	Open	Open
Context window	164K	131K
Max output	8K	41K
Input $ / M tokens	$0.25	$0.037
Output $ / M tokens	$0.95	$0.17
Results tracked	27	48

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Category by category

Coding DeepSeek-V3.1 leads

DeepSeek-V3.1: 39.8 (#140), gpt-oss-120b: 33.2 (#251)

Coding benchmarks
Benchmark	DeepSeek-V3.1	gpt-oss-120b
WeirdML	38.4%	48.2%
LMArena Coding	1417	1380
SWE-bench Verified (bash only)	—	26%
Aider Polyglot	—	41.8%
SciCode	—	36%
ALE-Bench	—	575.62
AlgoTune	—	1.41

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, gpt-oss-120b: 12.1 (#145)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1	gpt-oss-120b
Terminal-Bench	—	18.7%
APEX-Agents	—	4.4%
METR Time Horizons	—	56.6%
Vending-Bench 2	—	-21.53

Reasoning DeepSeek-V3.1 leads

DeepSeek-V3.1: 27.3 (#109), gpt-oss-120b: 19.5 (#236)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	gpt-oss-120b
SimpleBench	40%	22.1%
Kagi LLM Benchmark	53.2%	58.6%
LMArena Hard Prompts	1417	1364
DTBench	82.7%	76.3%
LMCA	24.3%	22.1%
Epoch Capabilities Index	139.92	139.94
CritPt	—	1.1%
Chess Puzzles	—	20%
Mystery Game Puzzles	—	2%
Surface Evolver Bench	—	25%
ForecastBench	58	—

Math gpt-oss-120b leads

DeepSeek-V3.1: 36.1 (#125), gpt-oss-120b: 50.6 (#43)

Math benchmarks
Benchmark	DeepSeek-V3.1	gpt-oss-120b
LMArena Math	1420	1388
OTIS Mock AIME 2024-2025	—	88.9%
Omni-MATH	—	68.8%

Knowledge Too close to call

DeepSeek-V3.1: 43.0 (#86), gpt-oss-120b: 42.3 (#89)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	gpt-oss-120b
Vectara Hallucination Rate	5.5%	14.2%
LMArena Expert	1403	1356
GPQA Diamond	—	75.8%
MMLU-Pro	—	79.5%
Confabulations	—	15.7%
GPQA (HELM)	—	68.4%

Multilingual DeepSeek-V3.1 leads

DeepSeek-V3.1: 51.8 (#100), gpt-oss-120b: 48.2 (#142)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	gpt-oss-120b
LMArena Non-English	1400	1350
LMArena Chinese	1470	1384
LMArena French	1447	1370
LMArena German	1412	1355
LMArena Japanese	1374	1332
LMArena Korean	1337	1283
LMArena Russian	1405	1343
LMArena Spanish	1429	1388

Instruction Following DeepSeek-V3.1 leads

DeepSeek-V3.1: 74.1 (#105), gpt-oss-120b: 69.5 (#168)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	gpt-oss-120b
LMArena Instruction Following	1400	1318
IFEval	—	83.6%

Long Context DeepSeek-V3.1 leads

DeepSeek-V3.1: 36.3 (#227), gpt-oss-120b: 31.4 (#273)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	gpt-oss-120b
Fiction.LiveBench	52.8%	44.4%
LMArena Longer Query	1422	1319

Writing & Preference DeepSeek-V3.1 leads

DeepSeek-V3.1: 60.5 (#93), gpt-oss-120b: 46.7 (#213)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	gpt-oss-120b
LMArena Text	1420	1366
LMArena Creative Writing	1401	1274
EQ-Bench Creative Writing	1436	961
LMArena Multi-Turn	1408	1340
Short-Story Creative Writing	—	77.1%
WildBench	—	84.5%

Frequently asked questions

Is DeepSeek-V3.1 better than gpt-oss-120b?

Which is cheaper, DeepSeek-V3.1 or gpt-oss-120b?

gpt-oss-120b is cheaper. It lists at $0.037 per million input tokens and $0.17 per million output tokens; DeepSeek-V3.1 lists at $0.25 and $0.95.

Is DeepSeek-V3.1 or gpt-oss-120b better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 39.8 versus 33.2 in the Noometry coding category.

Which has the bigger context window?

DeepSeek-V3.1 does, with 164K tokens against 131K.

How many benchmarks do DeepSeek-V3.1 and gpt-oss-120b share?

26 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and gpt-oss-120b has 48.