Model comparison

DeepSeek-V3.2-Speciale vs GPT-6 Sol

GPT-6 Sol is the stronger model overall, scoring 49.2 to 39.1 on the Noometry Index. DeepSeek-V3.2-Speciale costs 4.7× less per token, which makes it the better buy when GPT-6 Sol'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-6 Sol OpenAI

49.2

Rank #46 Confirmed

Summary

They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 0 categories and GPT-6 Sol in 3 categories; 3 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where GPT-6 Sol leads 72.3 to 46.1.
DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
GPT-6 Sol accepts more context: 1.05M tokens versus 128K.
DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-Speciale and GPT-6 Sol specifications
	DeepSeek-V3.2-Speciale	GPT-6 Sol
Provider	DeepSeek	OpenAI
Noometry Index	39.1	49.2
Released	2025-12-01	2026-09-22
Weights	Open	Proprietary
Context window	128K	1.05M
Max output	128K	128K
Input $ / M tokens	$0.58	$2
Output $ / M tokens	$1.68	$10
Results tracked	3	22

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Category by category

Coding GPT-6 Sol leads

DeepSeek-V3.2-Speciale: 39.9 (#136), GPT-6 Sol: 59.6 (#11)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
DeepSWE	—	68.8%
FrontierCode	—	49.3%
LMArena WebDev	—	1692
WeirdML	46.7%	—
LMArena Coding	—	1453

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Speciale: —, GPT-6 Sol: 33.5 (#49)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
GDP.pdf	—	28%

Reasoning GPT-6 Sol leads

DeepSeek-V3.2-Speciale: 32.1 (#65), GPT-6 Sol: 49.3 (#34)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
SimpleBench	52.6%	—
NYT Connections (extended)	—	90.1%
EBR-Bench	—	53.3%
LMArena Hard Prompts	—	1420

Math Not comparable

DeepSeek-V3.2-Speciale: —, GPT-6 Sol: 35.8 (#135)

Math benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
LMArena Math	—	1404

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, GPT-6 Sol: 43.0 (#87)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
Vectara Hallucination Rate	—	6.5%
LMArena Expert	—	1449

Multimodal Not comparable

DeepSeek-V3.2-Speciale: —, GPT-6 Sol: 47.6 (#9)

Multimodal benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
Furniture Assembly	—	58.3%

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, GPT-6 Sol: 51.0 (#113)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
LMArena Non-English	—	1389
LMArena Chinese	—	1416
LMArena Russian	—	1407
LMArena Spanish	—	1377

Instruction Following Not comparable

DeepSeek-V3.2-Speciale: —, GPT-6 Sol: 74.4 (#97)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
LMArena Instruction Following	—	1406

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, GPT-6 Sol: 43.2 (#100)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
LMArena Longer Query	—	1415

Writing & Preference GPT-6 Sol leads

DeepSeek-V3.2-Speciale: 46.1 (#217), GPT-6 Sol: 72.3 (#15)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Speciale	GPT-6 Sol
EQ-Bench Creative Writing	1276	2125
LMArena Text	—	1396
LMArena Creative Writing	—	1392
LMArena Multi-Turn	—	1405

Frequently asked questions

Is DeepSeek-V3.2-Speciale better than GPT-6 Sol?

Which is cheaper, DeepSeek-V3.2-Speciale or GPT-6 Sol?

DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; GPT-6 Sol lists at $2 and $10.

Is DeepSeek-V3.2-Speciale or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 39.9 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 128K.

How many benchmarks do DeepSeek-V3.2-Speciale and GPT-6 Sol share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-6 Sol has 22.