Model comparison

DeepSeek-V3.1 vs GPT-5.4 nano

DeepSeek-V3.1 and GPT-5.4 nano score almost the same on the Noometry Index (42.8 vs 41.9), so choose on price, context window or the category you care about most.

Last verified October 10, 2026. 24 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.8

Rank #108 Confirmed

GPT-5.4 nano OpenAI

41.9

Rank #125 Confirmed

Summary

They share 24 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 5 categories and GPT-5.4 nano in 3 categories; 8 gaps are clear of the uncertainty.
The widest gap is in long context, where GPT-5.4 nano leads 41.6 to 36.3.
The biggest single-benchmark swing is Kagi LLM Benchmark: 53.2% for DeepSeek-V3.1 and 39.7% for GPT-5.4 nano.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.20 / $1.25 for GPT-5.4 nano.
GPT-5.4 nano accepts more context: 400K tokens versus 164K.
DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and GPT-5.4 nano specifications
	DeepSeek-V3.1	GPT-5.4 nano
Provider	DeepSeek	OpenAI
Noometry Index	42.8	41.9
Released	2025-08-21	2026-03-17
Weights	Open	Proprietary
Context window	164K	400K
Max output	8K	128K
Input $ / M tokens	$0.25	$0.20
Output $ / M tokens	$0.95	$1.25
Results tracked	27	40

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Category by category

Coding GPT-5.4 nano leads

DeepSeek-V3.1: 40.3 (#144), GPT-5.4 nano: 43.6 (#84)

Coding benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.4 nano
WeirdML	38.4%	49.2%
LMArena Coding	1417	1405
SciCode	—	46.9%
ALE-Bench	—	1,005

Reasoning DeepSeek-V3.1 leads

DeepSeek-V3.1: 27.9 (#110), GPT-5.4 nano: 23.7 (#173)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.4 nano
Kagi LLM Benchmark	53.2%	39.7%
LMArena Hard Prompts	1417	1381
DTBench	82.7%	80.3%
LMCA	24.3%	36.9%
Epoch Capabilities Index	139.92	145.81
ForecastBench	58	57.3
ARC-AGI-2	—	5.7%
SimpleBench	40%	—
ARC-AGI-1	—	51.5%
CritPt	—	9.3%
Chess Puzzles	—	30%
Mystery Game Puzzles	—	9%

Math GPT-5.4 nano leads

DeepSeek-V3.1: 38.9 (#122), GPT-5.4 nano: 40.9 (#88)

Math benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.4 nano
LMArena Math	1420	1406
FrontierMath (Tiers 1-3)	—	44.9%
FrontierMath Tier 4	—	12.2%
OTIS Mock AIME 2024-2025	—	87.8%
ProofBench	—	5%
FrontierMath (Feb 2025 set)	—	25.9%
FrontierMath Tier 4 (v1)	—	6.3%

Knowledge DeepSeek-V3.1 leads

DeepSeek-V3.1: 43.7 (#90), GPT-5.4 nano: 41.9 (#103)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.4 nano
Vectara Hallucination Rate	5.5%	3.1%
LMArena Expert	1405	1396
GPQA Diamond	—	78.5%
SimpleQA Verified	—	11.7%

Multimodal Not comparable

DeepSeek-V3.1: —, GPT-5.4 nano: 36.7 (#78)

Multimodal benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.4 nano
LMArena Vision	—	1196

Multilingual DeepSeek-V3.1 leads

DeepSeek-V3.1: 51.6 (#106), GPT-5.4 nano: 48.6 (#140)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.4 nano
LMArena Non-English	1400	1359
LMArena Chinese	1469	1392
LMArena French	1447	1396
LMArena German	1411	1367
LMArena Japanese	1378	1343
LMArena Korean	1337	1320
LMArena Russian	1405	1363
LMArena Spanish	1431	1371

Instruction Following DeepSeek-V3.1 leads

DeepSeek-V3.1: 73.9 (#110), GPT-5.4 nano: 71.9 (#144)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.4 nano
LMArena Instruction Following	1400	1362

Long Context GPT-5.4 nano leads

DeepSeek-V3.1: 36.3 (#232), GPT-5.4 nano: 41.6 (#137)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.4 nano
LMArena Longer Query	1422	1366
Fiction.LiveBench	52.8%	—

Writing & Preference DeepSeek-V3.1 leads

DeepSeek-V3.1: 60.3 (#98), GPT-5.4 nano: 55.7 (#142)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.4 nano
LMArena Text	1420	1372
LMArena Creative Writing	1401	1314
LMArena Multi-Turn	1408	1382
EQ-Bench Creative Writing	1436	—

Frequently asked questions

Is DeepSeek-V3.1 better than GPT-5.4 nano?

DeepSeek-V3.1 and GPT-5.4 nano score almost the same on the Noometry Index (42.8 vs 41.9), so choose on price, context window or the category you care about most.

Which is cheaper, DeepSeek-V3.1 or GPT-5.4 nano?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; GPT-5.4 nano lists at $0.20 and $1.25.

Is DeepSeek-V3.1 or GPT-5.4 nano better for coding?

GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 40.3 in the Noometry coding category.

Which has the bigger context window?

GPT-5.4 nano does, with 400K tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and GPT-5.4 nano share?

24 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and GPT-5.4 nano has 40.