Model comparison

DeepSeek-V3.1 vs GPT-5.3 Chat

DeepSeek-V3.1 and GPT-5.3 Chat score almost the same on the Noometry Index (42.8 vs 42.8), so choose on price, context window or the category you care about most.

Last verified October 10, 2026. 18 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.8

Rank #108 Confirmed

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Summary

They share 18 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 4 categories and GPT-5.3 Chat in 4 categories; 6 gaps are clear of the uncertainty.
The widest gap is in long context, where GPT-5.3 Chat leads 42.6 to 36.3.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
DeepSeek-V3.1 accepts more context: 164K tokens versus 128K.
DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and GPT-5.3 Chat specifications
	DeepSeek-V3.1	GPT-5.3 Chat
Provider	DeepSeek	OpenAI
Noometry Index	42.8	42.8
Released	2025-08-21	2026-03-03
Weights	Open	Proprietary
Context window	164K	128K
Max output	8K	16K
Input $ / M tokens	$0.25	$1.75
Output $ / M tokens	$0.95	$14
Results tracked	27	18

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Category by category

Coding GPT-5.3 Chat leads

DeepSeek-V3.1: 40.3 (#144), GPT-5.3 Chat: 41.4 (#124)

Coding benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.3 Chat
LMArena Coding	1417	1408
WeirdML	38.4%	—

Reasoning Too close to call

DeepSeek-V3.1: 27.9 (#110), GPT-5.3 Chat: 28.5 (#102)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.3 Chat
LMArena Hard Prompts	1417	1399
SimpleBench	40%	—
Kagi LLM Benchmark	53.2%	—
DTBench	82.7%	—
LMCA	24.3%	—
Epoch Capabilities Index	139.92	—
ForecastBench	58	—

Math Too close to call

DeepSeek-V3.1: 38.9 (#122), GPT-5.3 Chat: 38.2 (#142)

Math benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.3 Chat
LMArena Math	1420	1389

Knowledge DeepSeek-V3.1 leads

DeepSeek-V3.1: 43.7 (#90), GPT-5.3 Chat: 38.8 (#140)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.3 Chat
LMArena Expert	1405	1397
Vectara Hallucination Rate	5.5%	—

Multilingual DeepSeek-V3.1 leads

DeepSeek-V3.1: 51.6 (#106), GPT-5.3 Chat: 50.3 (#124)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.3 Chat
LMArena Non-English	1400	1382
LMArena Chinese	1469	1432
LMArena French	1447	1397
LMArena German	1411	1384
LMArena Japanese	1378	1352
LMArena Korean	1337	1346
LMArena Russian	1405	1400
LMArena Spanish	1431	1371

Instruction Following DeepSeek-V3.1 leads

DeepSeek-V3.1: 73.9 (#110), GPT-5.3 Chat: 72.8 (#129)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.3 Chat
LMArena Instruction Following	1400	1378

Long Context GPT-5.3 Chat leads

DeepSeek-V3.1: 36.3 (#232), GPT-5.3 Chat: 42.6 (#120)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.3 Chat
LMArena Longer Query	1422	1396
Fiction.LiveBench	52.8%	—

Writing & Preference GPT-5.3 Chat leads

DeepSeek-V3.1: 60.3 (#98), GPT-5.3 Chat: 63.1 (#68)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	GPT-5.3 Chat
LMArena Text	1420	1389
LMArena Creative Writing	1401	1355
EQ-Bench Creative Writing	1436	1690
LMArena Multi-Turn	1408	1412

Frequently asked questions

Is DeepSeek-V3.1 better than GPT-5.3 Chat?

DeepSeek-V3.1 and GPT-5.3 Chat score almost the same on the Noometry Index (42.8 vs 42.8), so choose on price, context window or the category you care about most.

Which is cheaper, DeepSeek-V3.1 or GPT-5.3 Chat?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is DeepSeek-V3.1 or GPT-5.3 Chat better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 40.3 in the Noometry coding category.

Which has the bigger context window?

DeepSeek-V3.1 does, with 164K tokens against 128K.

How many benchmarks do DeepSeek-V3.1 and GPT-5.3 Chat share?

18 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and GPT-5.3 Chat has 18.