Model comparison

DeepSeek-V3.1-Terminus vs GPT-5 Pro

GPT-5 Pro is the stronger model overall, scoring 46.2 to 42.6 on the Noometry Index. DeepSeek-V3.1-Terminus costs 87× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

DeepSeek-V3.1-Terminus

DeepSeek

42.6

Rank #96 Confirmed

GPT-5 Pro OpenAI

46.2

Rank #58 Confirmed

Summary

They share 1 benchmark with published results for both. DeepSeek-V3.1-Terminus scores higher in 0 categories and GPT-5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GPT-5 Pro leads 39.2 to 25.7.
The biggest single-benchmark swing is Kagi LLM Benchmark: 57.4% for DeepSeek-V3.1-Terminus and 76.8% for GPT-5 Pro.
DeepSeek-V3.1-Terminus is cheaper at $0.30 / $1 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
GPT-5 Pro accepts more context: 400K tokens versus 164K.
DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1-Terminus and GPT-5 Pro specifications
	DeepSeek-V3.1-Terminus	GPT-5 Pro
Provider	DeepSeek	OpenAI
Noometry Index	42.6	46.2
Released	2025-09-22	2025-10-06
Weights	Open	Proprietary
Context window	164K	400K
Max output	66K	272K
Input $ / M tokens	$0.30	$15
Output $ / M tokens	$1	$120
Results tracked	16	12

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Category by category

Coding GPT-5 Pro leads

DeepSeek-V3.1-Terminus: 41.5 (#114), GPT-5 Pro: 43.4 (#77)

Coding benchmarks
Benchmark	DeepSeek-V3.1-Terminus	GPT-5 Pro
SciCode	40.6%	—
WeirdML	—	60.4%
LMArena Coding	1426	—
ALE-Bench	745.17	—
AlgoTune	—	1.31

Reasoning GPT-5 Pro leads

DeepSeek-V3.1-Terminus: 25.7 (#126), GPT-5 Pro: 39.2 (#52)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1-Terminus	GPT-5 Pro
Kagi LLM Benchmark	57.4%	76.8%
ARC-AGI-2	—	18.3%
SimpleBench	—	61.6%
ARC-AGI-1	—	70.2%
CritPt	1.7%	—
EnigmaEval	—	18.8%
LMArena Hard Prompts	1427	—
DTBench	81.3%	—
LMCA	28.6%	—
Epoch Capabilities Index	—	150.26

Math GPT-5 Pro leads

DeepSeek-V3.1-Terminus: 35.7 (#138), GPT-5 Pro: 48.0 (#53)

Math benchmarks
Benchmark	DeepSeek-V3.1-Terminus	GPT-5 Pro
FrontierMath (Tiers 1-3)	—	55.8%
FrontierMath Tier 4	—	19.5%
LMArena Math	1402	—
FrontierMath Tier 4 (v1)	—	14.6%

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, GPT-5 Pro: 56.2 (#39)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1-Terminus	GPT-5 Pro
Humanity's Last Exam	—	31.6%

Multilingual Not comparable

DeepSeek-V3.1-Terminus: 52.3 (#87), GPT-5 Pro: —

Multilingual benchmarks
Benchmark	DeepSeek-V3.1-Terminus	GPT-5 Pro
LMArena Non-English	1407	—
LMArena Russian	1434	—

Instruction Following Not comparable

DeepSeek-V3.1-Terminus: 74.4 (#96), GPT-5 Pro: —

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1-Terminus	GPT-5 Pro
LMArena Instruction Following	1406	—

Long Context Not comparable

DeepSeek-V3.1-Terminus: 43.5 (#88), GPT-5 Pro: —

Long Context benchmarks
Benchmark	DeepSeek-V3.1-Terminus	GPT-5 Pro
LMArena Longer Query	1426	—

Writing & Preference Not comparable

DeepSeek-V3.1-Terminus: 61.3 (#87), GPT-5 Pro: —

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1-Terminus	GPT-5 Pro
LMArena Text	1420	—
LMArena Creative Writing	1404	—
LMArena Multi-Turn	1411	—

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than GPT-5 Pro?

Which is cheaper, DeepSeek-V3.1-Terminus or GPT-5 Pro?

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.30 per million input tokens and $1 per million output tokens; GPT-5 Pro lists at $15 and $120.

Is DeepSeek-V3.1-Terminus or GPT-5 Pro better for coding?

GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 41.5 in the Noometry coding category.

Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 164K.

How many benchmarks do DeepSeek-V3.1-Terminus and GPT-5 Pro share?

1 benchmark has published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and GPT-5 Pro has 12.