DeepSeek V3.2 vs GPT-5.1

GPT-5.1 leads DeepSeek V3.2 on coding, 40.4 to 30.0 on the Vibe Coding Index, and DeepSeek V3.2 costs 11.4x less per output token ($0.88 vs $10.00 per million). Updated October 21, 2026; 73 benchmarks have a result for both.

Replace DeepSeek V3.2 Replace GPT-5.1

DeepSeek V3.2DeepSeek

Coding: 30.0
Overall: 37.9
Output $/M: $0.88

GPT-5.1OpenAI

Coding: 40.4
Overall: 55.0
Output $/M: $10.00

vs boards won of 73 shared

DeepSeek V3.2 or GPT-5.1: which to pick

Pick GPT-5.1 for coding: it scores 40.4 on the Vibe Coding Index against 30.0 for DeepSeek V3.2.

Pick DeepSeek V3.2 for output tokens 11.4x cheaper ($0.88 vs $10.00 per million) and a lower cost per solved task ($0.99 against $1.02).

Model ADeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved task Model BGPT-5.1OpenAI40.4/1003 independent benchmarks$1.02 per solved task

73228

Shared results: 73
DeepSeek V3.2 only: 2
GPT-5.1 only: 28
Like-for-like categories: 8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

Coding
Vibe Coding Index, six public coding benchmarks
GPT-5.1
GPT-5.1 scores 40.4 against 30.0.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-5.1
GPT-5.1 leads, 24.7 against 21.5.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.1
GPT-5.1 leads, 86.6% against 80.3%.
Same board, both measured
Math
AIME
GPT-5.1
GPT-5.1 leads, 93.3% against 84.6%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.1
GPT-5.1 leads, 86.4% against 84.9%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.1
GPT-5.1 leads, 1187 against 1175.
Same board, both measured
Long documents
Listed context window
GPT-5.1
GPT-5.1 takes 400K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3.2
DeepSeek V3.2 $0.0007, GPT-5.1 $0.0063 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V3.2
DeepSeek V3.2 $0.99, GPT-5.1 $1.02.
Published attempt cost and pass rate

At a glance

Coding index: DeepSeek V3.2 30.0 from 3 benchmarks, GPT-5.1 40.4 from 3 benchmarks.
Widest category: Reasoning, 6.9 points apart on average over 8 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): DeepSeek V3.2 5.1% against GPT-5.1 24.6%, 19.5 points apart on a 0 to 100 scale.
Output price: DeepSeek V3.2 $0.88 against GPT-5.1 $10.00 per million output tokens, 11.4x apart.
Context window: DeepSeek V3.2 takes 164K tokens, GPT-5.1 400K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
Category	DeepSeek V3.2	GPT-5.1
Coding	2	11
Intelligence	0	2
Agentic work	1	1
Reasoning	0	8
Math	0	6
Knowledge	0	11
Web design	1	7
General	0	23
All shared boards	4	69

CodingLike-for-likeSix of these boards feed the Vibe Coding Index211

Coding benchmarks for DeepSeek V3.2 and GPT-5.1
Benchmark	DeepSeek V3.2	GPT-5.1	Leader
SWE-bench Verified	70.0%	66.0%	DeepSeek V3.2
SWE-bench Multilingual	59.0%	Not measured	Only DeepSeek V3.2 measured
LMArena WebDev	1362	1396	GPT-5.1
AA Coding Index	44.2	49.4	GPT-5.1
LiveCodeBench (Vals AI)	80.7%	86.5%	GPT-5.1
SWE-bench Verified (Vals AI)	67.6%	69.8%	GPT-5.1
Vibe Code Bench (Vals AI)	5.1%	24.6%	GPT-5.1
LiveCodeBench (Artificial Analysis run)	86.2%	86.8%	GPT-5.1
Terminal-Bench Hard (Artificial Analysis run)	35.6%	45.5%	GPT-5.1
Terminal-Bench	39.6%	47.6%	GPT-5.1
GSO-Bench	Not measured	13.7%	Only GPT-5.1 measured
WeirdML	Not measured	60.8%	Only GPT-5.1 measured
LMArena Text: coding	1453	1453	GPT-5.1
LMArena Text: software and IT	1449	1454	GPT-5.1
LMArena WebDev: React	1350	1307	DeepSeek V3.2
LMArena WebDev: HTML	1371	1405	GPT-5.1
LMArena WebDev: from an image	Not measured	1421	Only GPT-5.1 measured
Neither model has a result on the other 22 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for DeepSeek V3.2 and GPT-5.1
Benchmark	DeepSeek V3.2	GPT-5.1	Leader
AA Intelligence Index	21.5	24.7	GPT-5.1
Epoch Capabilities Index	146.1	149.8	GPT-5.1

Agentic workLike-for-likePublic boards, shown as published, kept out of the index11

Agentic work benchmarks for DeepSeek V3.2 and GPT-5.1
Benchmark	DeepSeek V3.2	GPT-5.1	Leader
τ²-Bench Telecom	90.6%	81.9%	DeepSeek V3.2
APEX-Agents	21.3%	Not measured	Only DeepSeek V3.2 measured
DeepResearch Bench	Not measured	42.8%	Only GPT-5.1 measured
Vending-Bench 2	$1,034	$1,473	GPT-5.1
Neither model has a result on the other 37 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index08

Reasoning benchmarks for DeepSeek V3.2 and GPT-5.1
Benchmark	DeepSeek V3.2	GPT-5.1	Leader
GPQA Diamond	80.3%	86.6%	GPT-5.1
MMMU Pro (Vals AI)	Not measured	83.2%	Only GPT-5.1 measured
GPQA Diamond (Artificial Analysis run)	84.0%	87.3%	GPT-5.1
Humanity's Last Exam (Artificial Analysis run)	24.6%	28.5%	GPT-5.1
GPQA Diamond (Epoch AI run)	Not measured	87.6%	Only GPT-5.1 measured
ARC-AGI	57.0%	72.8%	GPT-5.1
ARC-AGI-2	4.0%	17.6%	GPT-5.1
SimpleBench	Not measured	53.2%	Only GPT-5.1 measured
Chess puzzles	Not measured	42.0%	Only GPT-5.1 measured
Mystery game puzzles	Not measured	19.0%	Only GPT-5.1 measured
VPCT	Not measured	58.7%	Only GPT-5.1 measured
LMArena Text: hard prompts	1434	1457	GPT-5.1
LMArena Text: expert	1436	1470	GPT-5.1
LMArena Text: hard prompts in English	1446	1462	GPT-5.1
LMArena Vision: diagrams	Not measured	1264	Only GPT-5.1 measured
LMArena Vision: homework	Not measured	1272	Only GPT-5.1 measured
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index06

Math benchmarks for DeepSeek V3.2 and GPT-5.1
Benchmark	DeepSeek V3.2	GPT-5.1	Leader
AIME	84.6%	93.3%	GPT-5.1
MGSM (Vals AI)	86.0%	93.0%	GPT-5.1
AA Math Index	92.0	94.0	GPT-5.1
AIME 2025 (Artificial Analysis run)	92.0%	94.0%	GPT-5.1
OTIS Mock AIME	Not measured	88.6%	Only GPT-5.1 measured
LMArena Text: math	1435	1446	GPT-5.1
LMArena Text: mathematical work	1440	1449	GPT-5.1
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011

Knowledge benchmarks for DeepSeek V3.2 and GPT-5.1
Benchmark	DeepSeek V3.2	GPT-5.1	Leader
MMLU Pro	84.9%	86.4%	GPT-5.1
LegalBench (Vals AI)	76.1%	85.7%	GPT-5.1
CaseLaw (Vals AI)	55.4%	73.4%	GPT-5.1
CorpFin (Vals AI)	51.0%	63.8%	GPT-5.1
TaxEval (Vals AI)	68.2%	74.9%	GPT-5.1
MortgageTax (Vals AI)	Not measured	61.4%	Only GPT-5.1 measured
MedQA (Vals AI)	93.9%	96.4%	GPT-5.1
MedCode (Vals AI)	Not measured	52.7%	Only GPT-5.1 measured
MMLU Pro (Artificial Analysis run)	86.2%	87.0%	GPT-5.1
SimpleQA Verified	Not measured	48.0%	Only GPT-5.1 measured
LMArena Text: science	1446	1459	GPT-5.1
LMArena Text: medicine and healthcare	1440	1456	GPT-5.1
LMArena Text: legal and government	1425	1459	GPT-5.1
LMArena Text: business and finance	1410	1431	GPT-5.1
FACTS Benchmark Suite	Not measured	45.0%	Only GPT-5.1 measured
Neither model has a result on the other 3 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index17

Web design benchmarks for DeepSeek V3.2 and GPT-5.1
Benchmark	DeepSeek V3.2	GPT-5.1	Leader
Design Arena: websites	1175	1187	GPT-5.1
Design Arena: UI components	1149	1166	GPT-5.1
Design Arena: game dev	1132	1179	GPT-5.1
Design Arena: data viz	1158	1204	GPT-5.1
Design Arena: 3D	1133	1061	DeepSeek V3.2
Design Arena: all code categories	1164	1171	GPT-5.1
Design Arena: SVG	1032	1149	GPT-5.1
Design Arena: ASCII art	1083	1119	GPT-5.1
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index023

General benchmarks for DeepSeek V3.2 and GPT-5.1
Benchmark	DeepSeek V3.2	GPT-5.1	Leader
SAGE (Vals AI)	Not measured	43.2%	Only GPT-5.1 measured
MedScribe (Vals AI)	Not measured	88.1%	Only GPT-5.1 measured
IFBench	60.7%	72.9%	GPT-5.1
Long context reasoning (AA-LCR)	73.3%	80.0%	GPT-5.1
DTBench	85.6%	90.1%	GPT-5.1
LMCA	28.8%	43.9%	GPT-5.1
CL-bench	12.4%	23.7%	GPT-5.1
CL-bench Life	7.4%	17.3%	GPT-5.1
LMArena Text	1425	1443	GPT-5.1
LMArena Text: instruction following	1413	1443	GPT-5.1
LMArena Text: creative writing	1400	1427	GPT-5.1
LMArena Vision	Not measured	1250	Only GPT-5.1 measured
LMArena Text: English	1439	1451	GPT-5.1
LMArena Text: non-English	1409	1431	GPT-5.1
LMArena Text: Chinese	1455	1495	GPT-5.1
LMArena Text: German	1413	1438	GPT-5.1
LMArena Text: Japanese	1374	1453	GPT-5.1
LMArena Text: Korean	1370	1401	GPT-5.1
LMArena Text: French	1429	1450	GPT-5.1
LMArena Text: Spanish	1424	1433	GPT-5.1
LMArena Text: Russian	1424	1435	GPT-5.1
LMArena Text: Polish	1419	1440	GPT-5.1
LMArena Text: multi-turn	1427	1450	GPT-5.1
LMArena Text: longer queries	1428	1448	GPT-5.1
LMArena Text: writing and language	1407	1428	GPT-5.1
LMArena Text: entertainment and media	1395	1415	GPT-5.1
LMArena Vision: English	Not measured	1252	Only GPT-5.1 measured
LMArena Vision: Chinese	Not measured	1270	Only GPT-5.1 measured
LMArena Vision: reading text	Not measured	1255	Only GPT-5.1 measured
LMArena Vision: humor	Not measured	1263	Only GPT-5.1 measured
LMArena Vision: captioning	Not measured	1252	Only GPT-5.1 measured
LMArena Vision: recognizing things	Not measured	1232	Only GPT-5.1 measured
LMArena Vision: creative writing	Not measured	1266	Only GPT-5.1 measured
LMArena Document	Not measured	1403	Only GPT-5.1 measured
Neither model has a result on the other 12 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for DeepSeek V3.2 and GPT-5.1
Benchmark	DeepSeek V3.2	GPT-5.1	Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V3.2$0.0007Fits in one request

GPT-5.1$0.0063Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.017Fits in one request

GPT-5.1$0.092Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.067Exceeds the context window

GPT-5.1$0.350Fits in one request

DeepSeek V3.2 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V3.2 and GPT-5.1
Specification	DeepSeek V3.2	OpenAI GPT-5.1
Maker	DeepSeek	OpenAI
Weights	Open weights	No public weights listed
Released	December 1, 2025	November 13, 2025
Context window	164K	400K
Input $/Mtok	$0.29	$1.25
Output $/Mtok	$0.88	$10.00
Coding index	30.0	40.4
Independent measurements behind it	3	3
Cost per solved task	$0.99	$1.02
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V3.2 better than GPT-5.1 for coding?

Pick GPT-5.1 for coding: it scores 40.4 on the Vibe Coding Index against 30.0 for DeepSeek V3.2. Pick DeepSeek V3.2 for output tokens 11.4x cheaper ($0.88 vs $10.00 per million) and a lower cost per solved task ($0.99 against $1.02).

Which is cheaper, DeepSeek V3.2 or GPT-5.1?

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; GPT-5.1 costs $1.25 and $10.00. Per solved SWE-bench Verified task, DeepSeek V3.2 costs $0.99 and GPT-5.1 $1.02.

Which has the bigger context window, DeepSeek V3.2 or GPT-5.1?

GPT-5.1, with 400K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 vs GPT-5.1 comparison based on?

73 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks and GPT-5.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/deepseek-v3-2-vs-gpt-5-1" title="DeepSeek V3.2 vs GPT-5.1, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v3-2-vs-gpt-5-1">LLMBenchmark.ai, DeepSeek V3.2 vs GPT-5.1</a></p>

DeepSeek V3.2 or GPT-5.1: which to pick

Which one for your work

Coding

Intelligence

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next