DeepSeek V4 Pro 0423 vs GPT-6 Astra

GPT-6 Astra leads DeepSeek V4 Pro 0423 on coding, 85.1 to 38.7 on the Vibe Coding Index, and DeepSeek V4 Pro 0423 costs 16.8x less per output token ($2.976 vs $50.00 per million). Updated October 22, 2026; 71 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0423 Replace GPT-6 Astra

DeepSeek V4 Pro 0423DeepSeek

Coding: 38.7
Overall: 50.0
Output $/M: $2.976

GPT-6 AstraOpenAI

Coding: 85.1
Overall: 83.0
Output $/M: $50.00

vs boards won of 71 shared

DeepSeek V4 Pro 0423 or GPT-6 Astra: which to pick

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423.

Pick DeepSeek V4 Pro 0423 for output tokens 16.8x cheaper ($2.976 vs $50.00 per million) and work measured by Tax Agent Bench (Vals AI) or LMArena Text: hard prompts in English, where it leads.

Model ADeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved task Model BGPT-6 AstraOpenAI85.1/1005 independent benchmarksNo cost per solved task

711350

Shared results: 71
DeepSeek V4 Pro 0423 only: 13
GPT-6 Astra only: 50
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-6 Astra
GPT-6 Astra scores 85.1 against 38.7.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-6 Astra
GPT-6 Astra leads, 52.7 against 30.4.
Same board, both measured
Agentic work
AA Agentic Index
GPT-6 Astra
GPT-6 Astra leads, 51.0 against 26.3.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0423 has a GPQA Diamond result, 89.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0423 has a MMLU Pro result, 87.3%.
Directional only
Web design
Design Arena: websites
GPT-6 Astra
GPT-6 Astra leads, 1336 against 1234.
Same board, both measured
General
Vals Index
No call
Only GPT-6 Astra has a Vals Index result, 65.0%.
Directional only
Long documents
Listed context window
GPT-6 Astra
GPT-6 Astra takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 $0.0028, GPT-6 Astra $0.035 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0423 has the number, $0.57.
Directional only

At a glance

Coding index: DeepSeek V4 Pro 0423 38.7 from 5 benchmarks, GPT-6 Astra 85.1 from 5 benchmarks.
Widest category: Math, 39.7 points apart on average over 6 shared benchmarks.
Widest single gap: FrontierMath, tier 4: DeepSeek V4 Pro 0423 2.4% against GPT-6 Astra 97.6%, 95.2 points apart on a 0 to 100 scale.
Output price: DeepSeek V4 Pro 0423 $2.976 against GPT-6 Astra $50.00 per million output tokens, 16.8x apart.
Context window: DeepSeek V4 Pro 0423 takes 1.05M tokens, GPT-6 Astra 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 0423	GPT-6 Astra
Coding	0	14
Intelligence	0	2
Agentic work	1	8
Reasoning	1	5
Math	0	6
Knowledge	4	2
Web design	0	8
General	12	8
All shared boards	18	53

CodingLike-for-likeSix of these boards feed the Vibe Coding Index014

Coding benchmarks for DeepSeek V4 Pro 0423 and GPT-6 Astra
Benchmark	DeepSeek V4 Pro 0423	GPT-6 Astra	Leader
LiveBench coding	Not measured	93.7%	Only GPT-6 Astra measured
LMArena WebDev	1447	1774	GPT-6 Astra
AA Coding Index	59.4	76.9	GPT-6 Astra
LiveCodeBench (Vals AI)	87.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
SWE-bench Verified (Vals AI)	77.4%	Not measured	Only DeepSeek V4 Pro 0423 measured
Terminal-Bench 4 (Vals AI)	11.1%	59.6%	GPT-6 Astra
Vibe Code Bench (Vals AI)	49.9%	89.6%	GPT-6 Astra
Code migration (Vals AI)	26.2%	67.7%	GPT-6 Astra
ProgramBench (Vals AI)	0.0%	5.5%	GPT-6 Astra
IOI (Vals AI)	Not measured	100.0%	Only GPT-6 Astra measured
Terminal-Bench 2.1 (Vals AI)	50.2%	87.3%	GPT-6 Astra
SWE-bench Multimodal (Vals AI)	Not measured	43.3%	Only GPT-6 Astra measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	27.6%	Only GPT-6 Astra measured
SkillsBench (Vals AI)	51.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
CyberBench (Vals AI)	Not measured	41.1%	Only GPT-6 Astra measured
SciCode	Not measured	56.5%	Only GPT-6 Astra measured
FrontierCode	17.6%	53.3%	GPT-6 Astra
FrontierSWE	Not measured	65.5%	Only GPT-6 Astra measured
GSO-Bench	Not measured	79.4%	Only GPT-6 Astra measured
WeirdML	48.9%	93.3%	GPT-6 Astra
MirrorCode	Not measured	46.7%	Only GPT-6 Astra measured
ALE-Bench	1006.1	2951.3	GPT-6 Astra
LMArena Text: coding	1470	1489	GPT-6 Astra
LMArena Text: software and IT	1469	1474	GPT-6 Astra
LMArena WebDev: React	1441	1798	GPT-6 Astra
LMArena WebDev: HTML	1435	1775	GPT-6 Astra
LMArena WebDev: from an image	Not measured	1726	Only GPT-6 Astra measured
SciCode	Not measured	12.3%	Only GPT-6 Astra measured
Neither model has a result on the other 11 boards here

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

Intelligence benchmarks for DeepSeek V4 Pro 0423 and GPT-6 Astra
Benchmark	DeepSeek V4 Pro 0423	GPT-6 Astra	Leader
AA Intelligence Index	30.4	52.7	GPT-6 Astra
Epoch Capabilities Index	149.1	168.8	GPT-6 Astra

Agentic workLike-for-likePublic boards, shown as published, kept out of the index18

Agentic work benchmarks for DeepSeek V4 Pro 0423 and GPT-6 Astra
Benchmark	DeepSeek V4 Pro 0423	GPT-6 Astra	Leader
AA Agentic Index	26.3	51.0	GPT-6 Astra
Design Arena: agents building web apps	1000	1373	GPT-6 Astra
Design Arena: agents building full-stack apps	948	1357	GPT-6 Astra
Design Arena: agents building mobile apps	Not measured	1312	Only GPT-6 Astra measured
Design Arena: agents building Godot games	1059	1348	GPT-6 Astra
Design Arena: PowerPoint slides	Not measured	1219	Only GPT-6 Astra measured
Design Arena: spreadsheets	Not measured	1365	Only GPT-6 Astra measured
LiveBench research	Not measured	85.2%	Only GPT-6 Astra measured
LiveBench browser	Not measured	84.0%	Only GPT-6 Astra measured
LiveBench long agentic	Not measured	82.4%	Only GPT-6 Astra measured
SREBench (Vals AI)	Not measured	56.9%	Only GPT-6 Astra measured
Finance Agent (Vals AI)	44.1%	53.5%	GPT-6 Astra
Tax Agent Bench (Vals AI)	25.2%	20.7%	DeepSeek V4 Pro 0423
Legal Research Bench (Vals AI)	23.1%	39.4%	GPT-6 Astra
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	7.1%	Only GPT-6 Astra measured
Excel Modeling Benchmark (Vals AI)	51.6%	71.7%	GPT-6 Astra
BioMysteryBench (Vals AI)	Not measured	79.3%	Only GPT-6 Astra measured
Terminal-Bench-Science (Vals AI)	Not measured	62.9%	Only GPT-6 Astra measured
Vals Science Index	Not measured	65.1%	Only GPT-6 Astra measured
Time Horizon Index (Vals AI)	Not measured	90.5%	Only GPT-6 Astra measured
CUA-bench (Vals AI)	Not measured	19.2%	Only GPT-6 Astra measured
Robo-bench (Vals AI)	Not measured	23.3%	Only GPT-6 Astra measured
APEX-Agents	Not measured	64.7%	Only GPT-6 Astra measured
Remote Labor Index	Not measured	20.8%	Only GPT-6 Astra measured
BALROG	Not measured	68.3%	Only GPT-6 Astra measured
SpireClimb	Not measured	25.7%	Only GPT-6 Astra measured
Vending-Bench 2	$3,285	$15,515	GPT-6 Astra
Neither model has a result on the other 14 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index15

Reasoning benchmarks for DeepSeek V4 Pro 0423 and GPT-6 Astra
Benchmark	DeepSeek V4 Pro 0423	GPT-6 Astra	Leader
GPQA Diamond	89.4%	Not measured	Only DeepSeek V4 Pro 0423 measured
LiveBench reasoning	Not measured	92.7%	Only GPT-6 Astra measured
MysteryMechanism (Vals AI)	Not measured	53.1%	Only GPT-6 Astra measured
GPQA Diamond (Artificial Analysis run)	Not measured	96.3%	Only GPT-6 Astra measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	54.7%	Only GPT-6 Astra measured
GPQA Diamond (Epoch AI run)	90.9%	95.8%	GPT-6 Astra
ARC-AGI	Not measured	98.5%	Only GPT-6 Astra measured
ARC-AGI-2	Not measured	95.0%	Only GPT-6 Astra measured
Chess puzzles	19.0%	74.0%	GPT-6 Astra
Mystery game puzzles	17.0%	84.0%	GPT-6 Astra
EBR-bench	Not measured	76.2%	Only GPT-6 Astra measured
LMArena Text: hard prompts	1461	1463	GPT-6 Astra
LMArena Text: expert	1463	1489	GPT-6 Astra
LMArena Text: hard prompts in English	1466	1464	DeepSeek V4 Pro 0423
LMArena Vision: diagrams	Not measured	1297	Only GPT-6 Astra measured
LMArena Vision: homework	Not measured	1337	Only GPT-6 Astra measured
Kagi LLM Benchmark	53.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 5 boards here

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

Math benchmarks for DeepSeek V4 Pro 0423 and GPT-6 Astra
Benchmark	DeepSeek V4 Pro 0423	GPT-6 Astra	Leader
OTIS Mock AIME	96.7%	100.0%	GPT-6 Astra
FrontierMath, tiers 1 to 3	45.3%	93.7%	GPT-6 Astra
FrontierMath, tier 4	2.4%	97.6%	GPT-6 Astra
ProofBench	16.0%	99.0%	GPT-6 Astra
LMArena Text: math	1443	1465	GPT-6 Astra
LMArena Text: mathematical work	1455	1484	GPT-6 Astra
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42

Knowledge benchmarks for DeepSeek V4 Pro 0423 and GPT-6 Astra
Benchmark	DeepSeek V4 Pro 0423	GPT-6 Astra	Leader
MMLU Pro	87.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
LegalBench (Vals AI)	80.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
CaseLaw (Vals AI)	59.4%	Not measured	Only DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)	61.4%	Not measured	Only DeepSeek V4 Pro 0423 measured
TaxEval (Vals AI)	72.1%	Not measured	Only DeepSeek V4 Pro 0423 measured
MedCode (Vals AI)	40.5%	48.5%	GPT-6 Astra
SimpleQA Verified	47.0%	75.6%	GPT-6 Astra
LMArena Text: science	1470	1451	DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare	1466	1425	DeepSeek V4 Pro 0423
LMArena Text: legal and government	1464	1462	DeepSeek V4 Pro 0423
LMArena Text: business and finance	1443	1439	DeepSeek V4 Pro 0423
FACTS Benchmark Suite	Not measured	75.7%	Only GPT-6 Astra measured
Neither model has a result on the other 6 boards here

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

Web design benchmarks for DeepSeek V4 Pro 0423 and GPT-6 Astra
Benchmark	DeepSeek V4 Pro 0423	GPT-6 Astra	Leader
Design Arena: websites	1234	1336	GPT-6 Astra
Design Arena: UI components	1219	1393	GPT-6 Astra
Design Arena: game dev	1228	1478	GPT-6 Astra
Design Arena: data viz	1203	1335	GPT-6 Astra
Design Arena: 3D	1253	1500	GPT-6 Astra
Design Arena: all code categories	1240	1379	GPT-6 Astra
Design Arena: SVG	1139	1431	GPT-6 Astra
Design Arena: ASCII art	1149	1353	GPT-6 Astra
LiveBench design	Not measured	82.0%	Only GPT-6 Astra measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index128

General benchmarks for DeepSeek V4 Pro 0423 and GPT-6 Astra
Benchmark	DeepSeek V4 Pro 0423	GPT-6 Astra	Leader
Vals Index	Not measured	65.0%	Only GPT-6 Astra measured
LiveBench data analysis	Not measured	83.0%	Only GPT-6 Astra measured
Public Benefits Bench (Vals AI)	62.9%	Not measured	Only DeepSeek V4 Pro 0423 measured
SAGE (Vals AI)	Not measured	46.4%	Only GPT-6 Astra measured
MedScribe (Vals AI)	75.1%	87.9%	GPT-6 Astra
Long context reasoning (AA-LCR)	Not measured	80.7%	Only GPT-6 Astra measured
DTBench	90.7%	97.3%	GPT-6 Astra
LMCA	41.2%	64.4%	GPT-6 Astra
Surface Evolver Bench	40.0%	Not measured	Only DeepSeek V4 Pro 0423 measured
Furniture assembly	Not measured	80.0%	Only GPT-6 Astra measured
CL-bench Life	13.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text	1451	1441	DeepSeek V4 Pro 0423
LMArena Text: instruction following	1445	1455	GPT-6 Astra
LMArena Text: creative writing	1446	1420	DeepSeek V4 Pro 0423
LMArena Vision	Not measured	1280	Only GPT-6 Astra measured
LMArena Text: English	1459	1447	DeepSeek V4 Pro 0423
LMArena Text: non-English	1439	1432	DeepSeek V4 Pro 0423
LMArena Text: Chinese	1481	1489	GPT-6 Astra
LMArena Text: German	1458	1459	GPT-6 Astra
LMArena Text: Japanese	1446	1405	DeepSeek V4 Pro 0423
LMArena Text: Korean	1409	1428	GPT-6 Astra
LMArena Text: French	1473	1432	DeepSeek V4 Pro 0423
LMArena Text: Spanish	1457	1422	DeepSeek V4 Pro 0423
LMArena Text: Russian	1453	1438	DeepSeek V4 Pro 0423
LMArena Text: Polish	1461	1422	DeepSeek V4 Pro 0423
LMArena Text: multi-turn	1468	1447	DeepSeek V4 Pro 0423
LMArena Text: longer queries	1458	1460	GPT-6 Astra
LMArena Text: writing and language	1447	1437	DeepSeek V4 Pro 0423
LMArena Text: entertainment and media	1431	1427	DeepSeek V4 Pro 0423
LMArena Vision: English	Not measured	1280	Only GPT-6 Astra measured
LMArena Vision: Chinese	Not measured	1361	Only GPT-6 Astra measured
LMArena Vision: reading text	Not measured	1292	Only GPT-6 Astra measured
LMArena Vision: creative writing	Not measured	1286	Only GPT-6 Astra measured
Neither model has a result on the other 13 boards here

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

Image generation benchmarks for DeepSeek V4 Pro 0423 and GPT-6 Astra
Benchmark	DeepSeek V4 Pro 0423	GPT-6 Astra	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 0423$0.0028Fits in one request

GPT-6 Astra$0.035Fits in one request

DeepSeek V4 Pro 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.077Fits in one request

GPT-6 Astra$0.650Fits in one request

DeepSeek V4 Pro 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.301Fits in one request

GPT-6 Astra$2.50Fits in one request

DeepSeek V4 Pro 0423 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 0423 and GPT-6 Astra
Specification	DeepSeek V4 Pro 0423	OpenAI GPT-6 Astra
Maker	DeepSeek	OpenAI
Weights	Open weights	No public weights listed
Released	April 24, 2026	September 4, 2026
Context window	1.05M	1.05M
Input $/Mtok	$1.358	$10.00
Output $/Mtok	$2.976	$50.00
Coding index	38.7	85.1
Independent measurements behind it	5	5
Cost per solved task	$0.57	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V4 Pro 0423 better than GPT-6 Astra for coding?

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423. Pick DeepSeek V4 Pro 0423 for output tokens 16.8x cheaper ($2.976 vs $50.00 per million) and work measured by Tax Agent Bench (Vals AI) or LMArena Text: hard prompts in English, where it leads.

Which is cheaper, DeepSeek V4 Pro 0423 or GPT-6 Astra?

DeepSeek V4 Pro 0423 costs $1.358 per million input tokens and $2.976 per million output tokens; GPT-6 Astra costs $10.00 and $50.00. Cost per solved task is known for DeepSeek V4 Pro 0423 only.

Which has the bigger context window, DeepSeek V4 Pro 0423 or GPT-6 Astra?

GPT-6 Astra, with 1.05M tokens against 1.05M.

How many benchmarks is the DeepSeek V4 Pro 0423 vs GPT-6 Astra comparison based on?

71 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and GPT-6 Astra'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 0423 or GPT-6 Astra: 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