DeepSeek V4 Pro 0813 vs GPT-6.1 Sol

GPT-6.1 Sol leads DeepSeek V4 Pro 0813 on coding, 82.4 to 56.1 on the Vibe Coding Index, and DeepSeek V4 Pro 0813 costs 5.1x less per output token ($1.98 vs $10.00 per million). Updated October 22, 2026; 63 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0813 Replace GPT-6.1 Sol

DeepSeek V4 Pro 0813DeepSeek

Coding: 56.1
Overall: 60.8
Output $/M: $1.98

GPT-6.1 SolOpenAI

Coding: 82.4
Overall: 81.4
Output $/M: $10.00

vs boards won of 63 shared

DeepSeek V4 Pro 0813 or GPT-6.1 Sol: which to pick

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 56.1 for DeepSeek V4 Pro 0813.

Pick DeepSeek V4 Pro 0813 for output tokens 5.1x cheaper ($1.98 vs $10.00 per million) and work measured by CyberBench (Vals AI) or Tax Agent Bench (Vals AI), where it leads.

Model ADeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved task Model BGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved task

631535

Shared results: 63
DeepSeek V4 Pro 0813 only: 15
GPT-6.1 Sol only: 35
Like-for-like categories: 7 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-6.1 Sol
GPT-6.1 Sol scores 82.4 against 56.1.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 51.8 against 36.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0813 has a AA Agentic Index result, 41.3.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0813 has a GPQA Diamond result, 92.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0813 has a MMLU Pro result, 87.0%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-6.1 Sol has a Design Arena: websites result, 1321.
Directional only
General
Vals Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 63.9% against 53.0%.
Same board, both measured
Long documents
Listed context window
GPT-6.1 Sol
GPT-6.1 Sol takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.0016, GPT-6.1 Sol $0.0070 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0813 has the number, $0.10.
Directional only

At a glance

Coding index: DeepSeek V4 Pro 0813 56.1 from 5 benchmarks, GPT-6.1 Sol 82.4 from 5 benchmarks.
Widest category: Math, 28.8 points apart on average over 6 shared benchmarks.
Widest single gap: FrontierMath, tier 4: DeepSeek V4 Pro 0813 26.8% against GPT-6.1 Sol 100.0%, 73.2 points apart on a 0 to 100 scale.
Output price: DeepSeek V4 Pro 0813 $1.98 against GPT-6.1 Sol $10.00 per million output tokens, 5.1x apart.
Context window: DeepSeek V4 Pro 0813 takes 1.05M tokens, GPT-6.1 Sol 1.05M.

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 V4 Pro 0813	GPT-6.1 Sol
Coding	1	13
Intelligence	0	2
Agentic work	3	5
Reasoning	0	9
Math	0	6
Knowledge	2	4
General	4	14
All shared boards	10	53

CodingLike-for-likeSix of these boards feed the Vibe Coding Index113

Coding benchmarks for DeepSeek V4 Pro 0813 and GPT-6.1 Sol
Benchmark	DeepSeek V4 Pro 0813	GPT-6.1 Sol	Leader
LiveBench coding	Not measured	96.0%	Only GPT-6.1 Sol measured
LMArena WebDev	1582	1753	GPT-6.1 Sol
AA Coding Index	68.8	Not measured	Only DeepSeek V4 Pro 0813 measured
LiveCodeBench (Vals AI)	87.5%	Not measured	Only DeepSeek V4 Pro 0813 measured
SWE-bench Verified (Vals AI)	96.4%	Not measured	Only DeepSeek V4 Pro 0813 measured
Terminal-Bench 4 (Vals AI)	14.1%	55.0%	GPT-6.1 Sol
Vibe Code Bench (Vals AI)	82.3%	88.9%	GPT-6.1 Sol
Code migration (Vals AI)	41.5%	65.1%	GPT-6.1 Sol
ProgramBench (Vals AI)	0.0%	3.0%	GPT-6.1 Sol
IOI (Vals AI)	51.6%	96.9%	GPT-6.1 Sol
Terminal-Bench 2.1 (Vals AI)	54.7%	Not measured	Only DeepSeek V4 Pro 0813 measured
SWE-bench Multimodal (Vals AI)	Not measured	43.5%	Only GPT-6.1 Sol measured
Vibe Code Bench 1-100 (Vals AI)	17.5%	Not measured	Only DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)	53.8%	Not measured	Only DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)	72.9%	39.3%	DeepSeek V4 Pro 0813
SciCode	51.0%	55.8%	GPT-6.1 Sol
FrontierCode	28.5%	50.2%	GPT-6.1 Sol
WeirdML	66.2%	Not measured	Only DeepSeek V4 Pro 0813 measured
ALE-Bench	1403.2	2743.8	GPT-6.1 Sol
LMArena Text: coding	1469	1478	GPT-6.1 Sol
LMArena Text: software and IT	1462	1476	GPT-6.1 Sol
LMArena WebDev: React	1588	1754	GPT-6.1 Sol
LMArena WebDev: HTML	1566	1800	GPT-6.1 Sol
LMArena WebDev: from an image	Not measured	1702	Only GPT-6.1 Sol measured
SciCode	Not measured	9.2%	Only GPT-6.1 Sol measured
Neither model has a result on the other 14 boards here

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

Intelligence benchmarks for DeepSeek V4 Pro 0813 and GPT-6.1 Sol
Benchmark	DeepSeek V4 Pro 0813	GPT-6.1 Sol	Leader
AA Intelligence Index	36.0	51.8	GPT-6.1 Sol
Epoch Capabilities Index	155.6	168.4	GPT-6.1 Sol

Agentic workLike-for-likePublic boards, shown as published, kept out of the index35

Agentic work benchmarks for DeepSeek V4 Pro 0813 and GPT-6.1 Sol
Benchmark	DeepSeek V4 Pro 0813	GPT-6.1 Sol	Leader
AA Agentic Index	41.3	Not measured	Only DeepSeek V4 Pro 0813 measured
Design Arena: agents building web apps	Not measured	1306	Only GPT-6.1 Sol measured
Design Arena: agents building mobile apps	Not measured	1213	Only GPT-6.1 Sol measured
Design Arena: spreadsheets	Not measured	1259	Only GPT-6.1 Sol measured
LiveBench research	Not measured	83.5%	Only GPT-6.1 Sol measured
LiveBench browser	Not measured	88.0%	Only GPT-6.1 Sol measured
LiveBench long agentic	Not measured	73.0%	Only GPT-6.1 Sol measured
SREBench (Vals AI)	1.9%	50.8%	GPT-6.1 Sol
Finance Agent (Vals AI)	50.4%	52.0%	GPT-6.1 Sol
Tax Agent Bench (Vals AI)	26.8%	21.8%	DeepSeek V4 Pro 0813
Legal Research Bench (Vals AI)	40.9%	38.5%	DeepSeek V4 Pro 0813
Harvey's Legal Agent Benchmark (Vals AI)	10.8%	6.3%	DeepSeek V4 Pro 0813
Excel Modeling Benchmark (Vals AI)	52.8%	70.8%	GPT-6.1 Sol
BioMysteryBench (Vals AI)	Not measured	79.6%	Only GPT-6.1 Sol measured
Terminal-Bench-Science (Vals AI)	4.3%	52.9%	GPT-6.1 Sol
Vals Science Index	Not measured	59.6%	Only GPT-6.1 Sol measured
Robo-bench (Vals AI)	Not measured	28.3%	Only GPT-6.1 Sol measured
APEX-Agents	47.3%	60.0%	GPT-6.1 Sol
SpireClimb	Not measured	24.7%	Only GPT-6.1 Sol measured
Neither model has a result on the other 22 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index09

Reasoning benchmarks for DeepSeek V4 Pro 0813 and GPT-6.1 Sol
Benchmark	DeepSeek V4 Pro 0813	GPT-6.1 Sol	Leader
GPQA Diamond	92.4%	Not measured	Only DeepSeek V4 Pro 0813 measured
LiveBench reasoning	Not measured	92.6%	Only GPT-6.1 Sol measured
MysteryMechanism (Vals AI)	Not measured	46.4%	Only GPT-6.1 Sol measured
GPQA Diamond (Artificial Analysis run)	92.8%	Not measured	Only DeepSeek V4 Pro 0813 measured
Humanity's Last Exam (Artificial Analysis run)	41.0%	52.9%	GPT-6.1 Sol
GPQA Diamond (Epoch AI run)	91.7%	95.4%	GPT-6.1 Sol
ARC-AGI	90.5%	98.5%	GPT-6.1 Sol
ARC-AGI-2	61.3%	94.2%	GPT-6.1 Sol
Chess puzzles	46.0%	68.0%	GPT-6.1 Sol
Mystery game puzzles	43.0%	80.0%	GPT-6.1 Sol
EBR-bench	Not measured	54.3%	Only GPT-6.1 Sol measured
LMArena Text: hard prompts	1458	1463	GPT-6.1 Sol
LMArena Text: expert	1459	1489	GPT-6.1 Sol
LMArena Text: hard prompts in English	1463	1465	GPT-6.1 Sol
LMArena Vision: diagrams	Not measured	1306	Only GPT-6.1 Sol measured
LMArena Vision: homework	Not measured	1356	Only GPT-6.1 Sol 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 V4 Pro 0813 and GPT-6.1 Sol
Benchmark	DeepSeek V4 Pro 0813	GPT-6.1 Sol	Leader
OTIS Mock AIME	98.6%	100.0%	GPT-6.1 Sol
FrontierMath, tiers 1 to 3	64.6%	93.7%	GPT-6.1 Sol
FrontierMath, tier 4	26.8%	100.0%	GPT-6.1 Sol
ProofBench	50.0%	99.0%	GPT-6.1 Sol
LMArena Text: math	1441	1489	GPT-6.1 Sol
LMArena Text: mathematical work	1443	1513	GPT-6.1 Sol
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24

Knowledge benchmarks for DeepSeek V4 Pro 0813 and GPT-6.1 Sol
Benchmark	DeepSeek V4 Pro 0813	GPT-6.1 Sol	Leader
MMLU Pro	87.0%	Not measured	Only DeepSeek V4 Pro 0813 measured
LegalBench (Vals AI)	82.4%	Not measured	Only DeepSeek V4 Pro 0813 measured
CorpFin (Vals AI)	65.4%	Not measured	Only DeepSeek V4 Pro 0813 measured
TaxEval (Vals AI)	73.1%	Not measured	Only DeepSeek V4 Pro 0813 measured
MedCode (Vals AI)	42.5%	48.8%	GPT-6.1 Sol
SimpleQA Verified	52.9%	73.9%	GPT-6.1 Sol
LMArena Text: science	1457	1444	DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare	1446	1433	DeepSeek V4 Pro 0813
LMArena Text: legal and government	1459	1471	GPT-6.1 Sol
LMArena Text: business and finance	1442	1445	GPT-6.1 Sol
FACTS Benchmark Suite	Not measured	75.3%	Only GPT-6.1 Sol measured
Neither model has a result on the other 7 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared

Web design benchmarks for DeepSeek V4 Pro 0813 and GPT-6.1 Sol
Benchmark	DeepSeek V4 Pro 0813	GPT-6.1 Sol	Leader
Design Arena: websites	Not measured	1321	Only GPT-6.1 Sol measured
Design Arena: UI components	Not measured	1317	Only GPT-6.1 Sol measured
Design Arena: game dev	Not measured	1389	Only GPT-6.1 Sol measured
Design Arena: data viz	Not measured	1281	Only GPT-6.1 Sol measured
Design Arena: 3D	Not measured	1460	Only GPT-6.1 Sol measured
Design Arena: all code categories	Not measured	1345	Only GPT-6.1 Sol measured
LiveBench design	Not measured	82.1%	Only GPT-6.1 Sol measured
Neither model has a result on the other 2 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index414

General benchmarks for DeepSeek V4 Pro 0813 and GPT-6.1 Sol
Benchmark	DeepSeek V4 Pro 0813	GPT-6.1 Sol	Leader
Vals Index	53.0%	63.9%	GPT-6.1 Sol
LiveBench data analysis	Not measured	82.7%	Only GPT-6.1 Sol measured
Public Benefits Bench (Vals AI)	Not measured	59.3%	Only GPT-6.1 Sol measured
SAGE (Vals AI)	Not measured	46.5%	Only GPT-6.1 Sol measured
MedScribe (Vals AI)	80.2%	86.5%	GPT-6.1 Sol
Long context reasoning (AA-LCR)	80.3%	84.0%	GPT-6.1 Sol
DTBench	93.9%	96.5%	GPT-6.1 Sol
LMCA	45.5%	62.8%	GPT-6.1 Sol
Furniture assembly	Not measured	80.0%	Only GPT-6.1 Sol measured
LMArena Text	1446	1443	DeepSeek V4 Pro 0813
LMArena Text: instruction following	1448	1466	GPT-6.1 Sol
LMArena Text: creative writing	1439	1425	DeepSeek V4 Pro 0813
LMArena Vision	Not measured	1288	Only GPT-6.1 Sol measured
LMArena Text: English	1457	1450	DeepSeek V4 Pro 0813
LMArena Text: non-English	1431	1433	GPT-6.1 Sol
LMArena Text: Chinese	1481	1487	GPT-6.1 Sol
LMArena Text: Korean	1449	Not measured	Only DeepSeek V4 Pro 0813 measured
LMArena Text: French	1446	1460	GPT-6.1 Sol
LMArena Text: Spanish	1435	1439	GPT-6.1 Sol
LMArena Text: Russian	1448	1457	GPT-6.1 Sol
LMArena Text: multi-turn	1454	1442	DeepSeek V4 Pro 0813
LMArena Text: longer queries	1458	1458	GPT-6.1 Sol
LMArena Text: writing and language	1443	1444	GPT-6.1 Sol
LMArena Text: entertainment and media	1424	1426	GPT-6.1 Sol
LMArena Vision: English	Not measured	1274	Only GPT-6.1 Sol measured
LMArena Vision: reading text	Not measured	1289	Only GPT-6.1 Sol measured
LMArena Vision: creative writing	Not measured	1301	Only GPT-6.1 Sol measured
Neither model has a result on the other 19 boards here

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

Image generation benchmarks for DeepSeek V4 Pro 0813 and GPT-6.1 Sol
Benchmark	DeepSeek V4 Pro 0813	GPT-6.1 Sol	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 V4 Pro 0813$0.0016Fits in one request

GPT-6.1 Sol$0.0070Fits in one request

DeepSeek V4 Pro 0813 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request

GPT-6.1 Sol$0.130Fits in one request

DeepSeek V4 Pro 0813 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request

GPT-6.1 Sol$0.500Fits in one request

DeepSeek V4 Pro 0813 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 V4 Pro 0813 and GPT-6.1 Sol
Specification	DeepSeek V4 Pro 0813	OpenAI GPT-6.1 Sol
Maker	DeepSeek	OpenAI
Weights	Open weights	No public weights listed
Released	August 12, 2026	September 29, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.66	$2.00
Output $/Mtok	$1.98	$10.00
Coding index	56.1	82.4
Independent measurements behind it	5	5
Cost per solved task	$0.10	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than GPT-6.1 Sol for coding?

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 56.1 for DeepSeek V4 Pro 0813. Pick DeepSeek V4 Pro 0813 for output tokens 5.1x cheaper ($1.98 vs $10.00 per million) and work measured by CyberBench (Vals AI) or Tax Agent Bench (Vals AI), where it leads.

Which is cheaper, DeepSeek V4 Pro 0813 or GPT-6.1 Sol?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for DeepSeek V4 Pro 0813 only.

Which has the bigger context window, DeepSeek V4 Pro 0813 or GPT-6.1 Sol?

GPT-6.1 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the DeepSeek V4 Pro 0813 vs GPT-6.1 Sol comparison based on?

63 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813's coding index rests on 5 independent benchmarks and GPT-6.1 Sol's on 5. Where only one model has a result, the page says so instead of naming a winner.

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DeepSeek V4 Pro 0813 or GPT-6.1 Sol: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

General

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