Model comparison

DeepSeek-V3.2-Speciale vs GPT-5.3 Chat

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 39.1 on the Noometry Index. DeepSeek-V3.2-Speciale costs 5.6× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

DeepSeek-V3.2-Speciale

DeepSeek

39.1

Rank #159 Reported

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Summary

They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 1 category and GPT-5.3 Chat in 2 categories; 2 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 46.1.
DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-Speciale and GPT-5.3 Chat specifications
	DeepSeek-V3.2-Speciale	GPT-5.3 Chat
Provider	DeepSeek	OpenAI
Noometry Index	39.1	42.1
Released	2025-12-01	2026-03-03
Weights	Open	Proprietary
Context window	128K	128K
Max output	128K	16K
Input $ / M tokens	$0.58	$1.75
Output $ / M tokens	$1.68	$14
Results tracked	3	18

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Category by category

Coding Too close to call

DeepSeek-V3.2-Speciale: 39.9 (#136), GPT-5.3 Chat: 40.8 (#124)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-5.3 Chat
WeirdML	46.7%	—
LMArena Coding	—	1408

Reasoning DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 32.1 (#65), GPT-5.3 Chat: 27.3 (#105)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-5.3 Chat
SimpleBench	52.6%	—
LMArena Hard Prompts	—	1399

Math Not comparable

DeepSeek-V3.2-Speciale: —, GPT-5.3 Chat: 35.4 (#146)

Math benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-5.3 Chat
LMArena Math	—	1389

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, GPT-5.3 Chat: 38.2 (#137)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-5.3 Chat
LMArena Expert	—	1397

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, GPT-5.3 Chat: 50.5 (#119)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-5.3 Chat
LMArena Non-English	—	1383
LMArena Chinese	—	1433
LMArena French	—	1398
LMArena German	—	1384
LMArena Japanese	—	1351
LMArena Korean	—	1347
LMArena Russian	—	1400
LMArena Spanish	—	1371

Instruction Following Not comparable

DeepSeek-V3.2-Speciale: —, GPT-5.3 Chat: 73.0 (#124)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-5.3 Chat
LMArena Instruction Following	—	1378

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, GPT-5.3 Chat: 42.6 (#115)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-5.3 Chat
LMArena Longer Query	—	1396

Writing & Preference GPT-5.3 Chat leads

DeepSeek-V3.2-Speciale: 46.1 (#217), GPT-5.3 Chat: 63.3 (#65)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-5.3 Chat
EQ-Bench Creative Writing	1276	1690
LMArena Text	—	1389
LMArena Creative Writing	—	1356
LMArena Multi-Turn	—	1413

Frequently asked questions

Is DeepSeek-V3.2-Speciale better than GPT-5.3 Chat?

Which is cheaper, DeepSeek-V3.2-Speciale or GPT-5.3 Chat?

DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is DeepSeek-V3.2-Speciale or GPT-5.3 Chat better for coding?

They score almost the same on coding (39.9 vs 40.8); test both on your own repository before choosing.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do DeepSeek-V3.2-Speciale and GPT-5.3 Chat share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-5.3 Chat has 18.