GPT-5.2 vs GPT-6 Astra

Updated October 21, 2026. 77 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.2 Replace GPT-6 Astra

GPT-5.2OpenAI

Coding: 58.9
Overall: 30.4
Output $/M: $14.00

GPT-6 AstraOpenAI

Coding: 88.7
Overall: 52.7
Output $/M: $50.00

vs boards won of 77 shared

Decision reading

Pick GPT-6 Astra for coding: it scores 88.7 on the Vibe Coding Index against 58.9 for GPT-5.2.

Pick GPT-5.2 when output tokens cost 3.6x less, or when what matters is MedCode (Vals AI) or SAGE (Vals AI), where it leads.

Model AGPT-5.2OpenAI58.9/1002 independent benchmarks$1.91 per solved task Model BGPT-6 AstraOpenAI88.7/1002 independent benchmarksNo cost per solved task

773442

Shared results: 77
GPT-5.2 only: 34
GPT-6 Astra only: 42
Like-for-like categories: 8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, four public coding benchmarks
GPT-6 Astra
GPT-6 Astra scores 88.7 against 58.9.
2 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
No call
Only GPT-6 Astra has a AA Agentic Index result, 51.0.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.2 has a GPQA Diamond result, 91.7%.
Directional only
Math
AIME
No call
Only GPT-5.2 has a AIME result, 96.9%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.2 has a MMLU Pro result, 86.2%.
Directional only
Web design
Design Arena: websites
GPT-6 Astra
GPT-6 Astra leads, 1337 against 1196.
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 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.2
GPT-5.2 $0.0088, GPT-6 Astra $0.035 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.2 has the number, $1.91.
Directional only

At a glance

Coding index: GPT-5.2 58.9 from 2 benchmarks, GPT-6 Astra 88.7 from 2 benchmarks.
Widest category: Agentic work, 36.8 points apart on average over 6 shared benchmarks.
Widest single gap: ProofBench: GPT-5.2 15.0% against GPT-6 Astra 99.0%, 84.0 points apart on a 0 to 100 scale.
Output price: GPT-5.2 $14.00 against GPT-6 Astra $50.00 per million output tokens, 3.6x apart.
Context window: GPT-5.2 takes 400K 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	GPT-5.2	GPT-6 Astra
Coding	0	8
Intelligence	0	2
Agentic work	0	6
Reasoning	0	13
Math	0	6
Knowledge	1	5
Web design	0	8
General	5	23
All shared boards	6	71

CodingLike-for-likeFour of these boards feed the Vibe Coding Index08

Coding benchmarks for GPT-5.2 and GPT-6 Astra
Benchmark	GPT-5.2	GPT-6 Astra	Leader
SWE-bench Verified	72.8%	Not measured	Only GPT-5.2 measured
SWE-bench Multilingual	66.7%	Not measured	Only GPT-5.2 measured
LiveBench coding	Not measured	93.7%	Only GPT-6 Astra measured
LMArena WebDev	1417	1774	GPT-6 Astra
AA Coding Index	Not measured	76.9	Only GPT-6 Astra measured
LiveCodeBench (Vals AI)	85.4%	Not measured	Only GPT-5.2 measured
SWE-bench Verified (Vals AI)	75.8%	Not measured	Only GPT-5.2 measured
Terminal-Bench 4 (Vals AI)	Not measured	59.6%	Only GPT-6 Astra measured
Vibe Code Bench (Vals AI)	53.5%	89.6%	GPT-6 Astra
Code migration (Vals AI)	Not measured	67.7%	Only GPT-6 Astra measured
ProgramBench (Vals AI)	Not measured	5.5%	Only GPT-6 Astra measured
IOI (Vals AI)	Not measured	100.0%	Only GPT-6 Astra measured
Terminal-Bench 2.1 (Vals AI)	Not measured	87.3%	Only GPT-6 Astra measured
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
CyberBench (Vals AI)	Not measured	41.1%	Only GPT-6 Astra measured
LiveCodeBench (Artificial Analysis run)	89.4%	Not measured	Only GPT-5.2 measured
SciCode	Not measured	56.5%	Only GPT-6 Astra measured
Terminal-Bench Hard (Artificial Analysis run)	47.0%	Not measured	Only GPT-5.2 measured
Terminal-Bench	64.9%	Not measured	Only GPT-5.2 measured
FrontierCode	Not measured	53.3%	Only GPT-6 Astra measured
FrontierSWE	Not measured	65.5%	Only GPT-6 Astra measured
GSO-Bench	27.5%	79.4%	GPT-6 Astra
WeirdML	72.2%	93.3%	GPT-6 Astra
MirrorCode	Not measured	46.7%	Only GPT-6 Astra measured
ALE-Bench	1293.5	2951.3	GPT-6 Astra
LMArena Text: coding	1442	1489	GPT-6 Astra
LMArena Text: software and IT	1434	1474	GPT-6 Astra
LMArena WebDev: React	Not measured	1798	Only GPT-6 Astra measured
LMArena WebDev: HTML	1427	1775	GPT-6 Astra
LMArena WebDev: from an image	Not measured	1726	Only GPT-6 Astra measured
Neither model has a result on the other 7 boards here

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

Intelligence benchmarks for GPT-5.2 and GPT-6 Astra
Benchmark	GPT-5.2	GPT-6 Astra	Leader
AA Intelligence Index	30.4	52.7	GPT-6 Astra
Epoch Capabilities Index	153.7	168.8	GPT-6 Astra

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

Agentic work benchmarks for GPT-5.2 and GPT-6 Astra
Benchmark	GPT-5.2	GPT-6 Astra	Leader
AA Agentic Index	Not measured	51.0	Only GPT-6 Astra measured
Design Arena: agents building web apps	1086	1372	GPT-6 Astra
Design Arena: agents building full-stack apps	1043	1357	GPT-6 Astra
Design Arena: agents building mobile apps	1094	1312	GPT-6 Astra
Design Arena: agents building Android apps	1064	Not measured	Only GPT-5.2 measured
Design Arena: agents building Godot games	1142	1348	GPT-6 Astra
Design Arena: PowerPoint slides	Not measured	1245	Only GPT-6 Astra measured
Design Arena: spreadsheets	Not measured	1380	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)	Not measured	53.5%	Only GPT-6 Astra measured
Tax Agent Bench (Vals AI)	Not measured	20.7%	Only GPT-6 Astra measured
Legal Research Bench (Vals AI)	Not measured	39.4%	Only GPT-6 Astra measured
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	7.1%	Only GPT-6 Astra measured
Excel Modeling Benchmark (Vals AI)	Not measured	71.7%	Only GPT-6 Astra measured
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
τ²-Bench Telecom	84.8%	Not measured	Only GPT-5.2 measured
APEX-Agents	Not measured	64.7%	Only GPT-6 Astra measured
METR time horizons	75.3%	Not measured	Only GPT-5.2 measured
Remote Labor Index	2.5%	20.8%	GPT-6 Astra
GDPval	49.7%	Not measured	Only GPT-5.2 measured
BALROG	Not measured	68.3%	Only GPT-6 Astra measured
DeepResearch Bench	41.1%	Not measured	Only GPT-5.2 measured
SpireClimb	Not measured	25.7%	Only GPT-6 Astra measured
Vending-Bench 2	$3,591	$15,515	GPT-6 Astra
Neither model has a result on the other 7 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index013

Reasoning benchmarks for GPT-5.2 and GPT-6 Astra
Benchmark	GPT-5.2	GPT-6 Astra	Leader
GPQA Diamond	91.7%	Not measured	Only GPT-5.2 measured
LiveBench reasoning	Not measured	92.7%	Only GPT-6 Astra measured
MysteryMechanism (Vals AI)	Not measured	53.1%	Only GPT-6 Astra measured
MMMU Pro (Vals AI)	86.7%	Not measured	Only GPT-5.2 measured
GPQA Diamond (Artificial Analysis run)	90.3%	96.3%	GPT-6 Astra
Humanity's Last Exam (Artificial Analysis run)	37.7%	54.7%	GPT-6 Astra
GPQA Diamond (Epoch AI run)	91.4%	95.8%	GPT-6 Astra
ARC-AGI	86.2%	98.5%	GPT-6 Astra
ARC-AGI-2	52.9%	95.0%	GPT-6 Astra
SimpleBench	45.8%	Not measured	Only GPT-5.2 measured
Chess puzzles	48.0%	74.0%	GPT-6 Astra
Mystery game puzzles	23.0%	84.0%	GPT-6 Astra
EBR-bench	23.0%	76.2%	GPT-6 Astra
VPCT	84.0%	Not measured	Only GPT-5.2 measured
LMArena Text: hard prompts	1428	1463	GPT-6 Astra
LMArena Text: expert	1445	1489	GPT-6 Astra
LMArena Text: hard prompts in English	1431	1464	GPT-6 Astra
LMArena Vision: diagrams	1265	1297	GPT-6 Astra
LMArena Vision: homework	1276	1337	GPT-6 Astra
Neither model has a result on the other 2 boards here

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

Math benchmarks for GPT-5.2 and GPT-6 Astra
Benchmark	GPT-5.2	GPT-6 Astra	Leader
AIME	96.9%	Not measured	Only GPT-5.2 measured
MGSM (Vals AI)	94.0%	Not measured	Only GPT-5.2 measured
AA Math Index	99.0	Not measured	Only GPT-5.2 measured
AIME 2025 (Artificial Analysis run)	99.0%	Not measured	Only GPT-5.2 measured
OTIS Mock AIME	96.1%	100.0%	GPT-6 Astra
FrontierMath, tiers 1 to 3	67.4%	93.7%	GPT-6 Astra
FrontierMath, tier 4	31.7%	97.6%	GPT-6 Astra
ProofBench	15.0%	99.0%	GPT-6 Astra
LMArena Text: math	1440	1465	GPT-6 Astra
LMArena Text: mathematical work	1442	1484	GPT-6 Astra
Neither model has a result on the other 3 boards here

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

Knowledge benchmarks for GPT-5.2 and GPT-6 Astra
Benchmark	GPT-5.2	GPT-6 Astra	Leader
MMLU Pro	86.2%	Not measured	Only GPT-5.2 measured
LegalBench (Vals AI)	82.8%	Not measured	Only GPT-5.2 measured
CaseLaw (Vals AI)	66.0%	Not measured	Only GPT-5.2 measured
CorpFin (Vals AI)	65.9%	Not measured	Only GPT-5.2 measured
TaxEval (Vals AI)	75.8%	Not measured	Only GPT-5.2 measured
MortgageTax (Vals AI)	67.1%	Not measured	Only GPT-5.2 measured
MedQA (Vals AI)	94.1%	Not measured	Only GPT-5.2 measured
MedCode (Vals AI)	49.8%	48.5%	GPT-5.2
MMLU Pro (Artificial Analysis run)	87.4%	Not measured	Only GPT-5.2 measured
SimpleQA Verified	37.1%	75.6%	GPT-6 Astra
LMArena Text: science	1425	1451	GPT-6 Astra
LMArena Text: medicine and healthcare	1425	1425	GPT-6 Astra
LMArena Text: legal and government	1427	1462	GPT-6 Astra
LMArena Text: business and finance	1414	1439	GPT-6 Astra
Neither model has a result on the other 3 boards here

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

Web design benchmarks for GPT-5.2 and GPT-6 Astra
Benchmark	GPT-5.2	GPT-6 Astra	Leader
Design Arena: websites	1196	1337	GPT-6 Astra
Design Arena: UI components	1190	1394	GPT-6 Astra
Design Arena: game dev	1196	1474	GPT-6 Astra
Design Arena: data viz	1202	1335	GPT-6 Astra
Design Arena: 3D	1079	1501	GPT-6 Astra
Design Arena: all code categories	1171	1379	GPT-6 Astra
Design Arena: SVG	1137	1431	GPT-6 Astra
Design Arena: ASCII art	1153	1359	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 index523

General benchmarks for GPT-5.2 and GPT-6 Astra
Benchmark	GPT-5.2	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
SAGE (Vals AI)	49.3%	46.4%	GPT-5.2
MedScribe (Vals AI)	84.4%	87.9%	GPT-6 Astra
IFBench	75.4%	Not measured	Only GPT-5.2 measured
Long context reasoning (AA-LCR)	82.7%	80.7%	GPT-5.2
DTBench	90.9%	97.3%	GPT-6 Astra
LMCA	43.9%	64.4%	GPT-6 Astra
CL-bench	18.2%	Not measured	Only GPT-5.2 measured
Furniture assembly	38.3%	80.0%	GPT-6 Astra
LMArena Text	1416	1441	GPT-6 Astra
LMArena Text: instruction following	1409	1455	GPT-6 Astra
LMArena Text: creative writing	1376	1420	GPT-6 Astra
LMArena Vision	1246	1280	GPT-6 Astra
LMArena Text: English	1422	1447	GPT-6 Astra
LMArena Text: non-English	1405	1432	GPT-6 Astra
LMArena Text: Chinese	1447	1489	GPT-6 Astra
LMArena Text: German	1444	1459	GPT-6 Astra
LMArena Text: Japanese	1420	1405	GPT-5.2
LMArena Text: Korean	1374	1428	GPT-6 Astra
LMArena Text: French	1454	1432	GPT-5.2
LMArena Text: Spanish	1413	1422	GPT-6 Astra
LMArena Text: Russian	1415	1438	GPT-6 Astra
LMArena Text: Polish	1426	1422	GPT-5.2
LMArena Text: multi-turn	1419	1447	GPT-6 Astra
LMArena Text: longer queries	1413	1460	GPT-6 Astra
LMArena Text: writing and language	1392	1437	GPT-6 Astra
LMArena Text: entertainment and media	1378	1427	GPT-6 Astra
LMArena Vision: English	1243	1280	GPT-6 Astra
LMArena Vision: Chinese	1305	1361	GPT-6 Astra
LMArena Vision: reading text	1257	1292	GPT-6 Astra
LMArena Vision: humor	1227	Not measured	Only GPT-5.2 measured
LMArena Vision: captioning	1267	Not measured	Only GPT-5.2 measured
LMArena Vision: recognizing things	1232	Not measured	Only GPT-5.2 measured
LMArena Vision: creative writing	1225	1286	GPT-6 Astra
LMArena Document	1405	Not measured	Only GPT-5.2 measured
Neither model has a result on the other 10 boards here

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

Image generation benchmarks for GPT-5.2 and GPT-6 Astra
Benchmark	GPT-5.2	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

GPT-5.2$0.0088Fits in one request

GPT-6 Astra$0.035Fits in one request

GPT-5.2 costs less

Repository review

50K input + 3K output tokens

GPT-5.2$0.130Fits in one request

GPT-6 Astra$0.650Fits in one request

GPT-5.2 costs less

Agent loop

200K input + 10K output tokens

GPT-5.2$0.490Fits in one request

GPT-6 Astra$2.50Fits in one request

GPT-5.2 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 GPT-5.2 and GPT-6 Astra
Specification	OpenAI GPT-5.2	OpenAI GPT-6 Astra
Maker	OpenAI	OpenAI
Weights	No public weights listed	No public weights listed
Released	December 10, 2025	September 4, 2026
Context window	400K	1.05M
Input $/Mtok	$1.75	$10.00
Output $/Mtok	$14.00	$50.00
Coding index	58.9	88.7
Independent measurements behind it	2	2
Cost per solved task	$1.91	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-5.2 better than GPT-6 Astra for coding?

Pick GPT-6 Astra for coding: it scores 88.7 on the Vibe Coding Index against 58.9 for GPT-5.2. Pick GPT-5.2 when output tokens cost 3.6x less, or when what matters is MedCode (Vals AI) or SAGE (Vals AI), where it leads.

Which is cheaper, GPT-5.2 or GPT-6 Astra?

GPT-5.2 costs $1.75 per million input tokens and $14.00 per million output tokens; GPT-6 Astra costs $10.00 and $50.00. Cost per solved task is known for GPT-5.2 only.

Which has the bigger context window, GPT-5.2 or GPT-6 Astra?

GPT-6 Astra, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5.2 vs GPT-6 Astra comparison based on?

77 benchmarks have a result for both models as of October 21, 2026. GPT-5.2's coding index rests on 2 independent benchmarks and GPT-6 Astra's on 2. Where only one model has a result, the page says so instead of naming a winner.

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Decision reading

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

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