Gemini 4 Argon vs GPT-6 Astra

Updated October 21, 2026. 90 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 4 Argon Replace GPT-6 Astra

Gemini 4 ArgonGoogle

Coding: 80.5
Overall: 52.6
Output $/M: $10.00

GPT-6 AstraOpenAI

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

vs boards won of 90 shared, 4 tied

Decision reading

Pick GPT-6 Astra for coding: it scores 88.7 on the Vibe Coding Index against 80.5 for Gemini 4 Argon.

Pick Gemini 4 Argon when output tokens cost 5.0x less, or when what matters is Vibe Code Bench (Vals AI) or Code migration (Vals AI), where it leads.

Model AGemini 4 ArgonGoogle80.5/1002 independent benchmarksNo cost per solved task Model BGPT-6 AstraOpenAI88.7/1002 independent benchmarksNo cost per solved task

90229

Shared results: 90
Gemini 4 Argon only: 2
GPT-6 Astra only: 29
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 80.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-6 Astra
GPT-6 Astra leads, 52.7 against 52.6.
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
Web design
Design Arena: websites
GPT-6 Astra
GPT-6 Astra leads, 1337 against 1315.
Same board, both measured
General
Vals Index
Gemini 4 Argon
Gemini 4 Argon leads, 69.2% against 65.0%.
Same board, both measured
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
Gemini 4 Argon
Gemini 4 Argon $0.0070, GPT-6 Astra $0.035 per turn.
List prices

At a glance

Coding index: Gemini 4 Argon 80.5 from 2 benchmarks, GPT-6 Astra 88.7 from 2 benchmarks.
Widest category: Agentic work, 15.2 points apart on average over 18 shared benchmarks.
Widest single gap: Time Horizon Index (Vals AI): Gemini 4 Argon 52.5% against GPT-6 Astra 90.5%, 38.0 points apart on a 0 to 100 scale.
Output price: Gemini 4 Argon $10.00 against GPT-6 Astra $50.00 per million output tokens, 5.0x apart.
Context window: Gemini 4 Argon 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	Gemini 4 Argon	GPT-6 Astra	Ties
Coding	7	11	1 tie
Intelligence	0	2
Agentic work	7	11
Reasoning	6	5	1 tie
Math	2	2	2 ties
Knowledge	6	0
Web design	0	7
General	16	4
All shared boards	44	42	4 ties

CodingLike-for-likeFour of these boards feed the Vibe Coding Index711

Coding benchmarks for Gemini 4 Argon and GPT-6 Astra
Benchmark	Gemini 4 Argon	GPT-6 Astra	Leader
LiveBench coding	89.7%	93.7%	GPT-6 Astra
LMArena WebDev	1678	1774	GPT-6 Astra
AA Coding Index	Not measured	76.9	Only GPT-6 Astra measured
Terminal-Bench 4 (Vals AI)	57.6%	59.6%	GPT-6 Astra
Vibe Code Bench (Vals AI)	91.9%	89.6%	Gemini 4 Argon
Code migration (Vals AI)	68.2%	67.7%	Gemini 4 Argon
ProgramBench (Vals AI)	2.5%	5.5%	GPT-6 Astra
IOI (Vals AI)	100.0%	100.0%	Tie
Terminal-Bench 2.1 (Vals AI)	57.7%	87.3%	GPT-6 Astra
SWE-bench Multimodal (Vals AI)	56.0%	43.3%	Gemini 4 Argon
Vibe Code Bench 1-100 (Vals AI)	21.2%	27.6%	GPT-6 Astra
CyberBench (Vals AI)	77.9%	41.1%	Gemini 4 Argon
SciCode	61.8%	56.5%	Gemini 4 Argon
FrontierCode	47.5%	53.3%	GPT-6 Astra
FrontierSWE	55.0%	65.5%	GPT-6 Astra
GSO-Bench	Not measured	79.4%	Only GPT-6 Astra measured
WeirdML	Not measured	93.3%	Only GPT-6 Astra measured
MirrorCode	Not measured	46.7%	Only GPT-6 Astra measured
ALE-Bench	2100.1	2951.3	GPT-6 Astra
LMArena Text: coding	1546	1489	Gemini 4 Argon
LMArena Text: software and IT	1556	1474	Gemini 4 Argon
LMArena WebDev: React	1692	1798	GPT-6 Astra
LMArena WebDev: HTML	1643	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 14 boards here

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

Intelligence benchmarks for Gemini 4 Argon and GPT-6 Astra
Benchmark	Gemini 4 Argon	GPT-6 Astra	Leader
AA Intelligence Index	52.6	52.7	GPT-6 Astra
Epoch Capabilities Index	166.4	168.8	GPT-6 Astra

Agentic workLike-for-likePublic boards, shown as published, kept out of the index711

Agentic work benchmarks for Gemini 4 Argon and GPT-6 Astra
Benchmark	Gemini 4 Argon	GPT-6 Astra	Leader
AA Agentic Index	Not measured	51.0	Only GPT-6 Astra measured
Design Arena: agents building web apps	Not measured	1372	Only GPT-6 Astra measured
Design Arena: agents building full-stack apps	Not measured	1357	Only GPT-6 Astra measured
Design Arena: agents building mobile apps	Not measured	1312	Only GPT-6 Astra measured
Design Arena: agents building Godot games	Not measured	1348	Only GPT-6 Astra measured
Design Arena: PowerPoint slides	Not measured	1245	Only GPT-6 Astra measured
Design Arena: spreadsheets	1151	1380	GPT-6 Astra
LiveBench research	83.1%	85.2%	GPT-6 Astra
LiveBench browser	92.0%	84.0%	Gemini 4 Argon
LiveBench long agentic	69.9%	82.4%	GPT-6 Astra
SREBench (Vals AI)	44.3%	56.9%	GPT-6 Astra
Finance Agent (Vals AI)	65.4%	53.5%	Gemini 4 Argon
Tax Agent Bench (Vals AI)	44.6%	20.7%	Gemini 4 Argon
Legal Research Bench (Vals AI)	54.8%	39.4%	Gemini 4 Argon
Harvey's Legal Agent Benchmark (Vals AI)	27.1%	7.1%	Gemini 4 Argon
Excel Modeling Benchmark (Vals AI)	75.2%	71.7%	Gemini 4 Argon
BioMysteryBench (Vals AI)	76.3%	79.3%	GPT-6 Astra
Terminal-Bench-Science (Vals AI)	44.3%	62.9%	GPT-6 Astra
Vals Science Index	55.4%	65.1%	GPT-6 Astra
Time Horizon Index (Vals AI)	52.5%	90.5%	GPT-6 Astra
CUA-bench (Vals AI)	4.8%	19.2%	GPT-6 Astra
Robo-bench (Vals AI)	0.8%	23.3%	GPT-6 Astra
APEX-Agents	82.4%	64.7%	Gemini 4 Argon
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	$13,718	$15,515	GPT-6 Astra
Neither model has a result on the other 12 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index65

Reasoning benchmarks for Gemini 4 Argon and GPT-6 Astra
Benchmark	Gemini 4 Argon	GPT-6 Astra	Leader
LiveBench reasoning	95.1%	92.7%	Gemini 4 Argon
MysteryMechanism (Vals AI)	45.5%	53.1%	GPT-6 Astra
GPQA Diamond (Artificial Analysis run)	Not measured	96.3%	Only GPT-6 Astra measured
Humanity's Last Exam (Artificial Analysis run)	57.1%	54.7%	Gemini 4 Argon
GPQA Diamond (Epoch AI run)	96.4%	95.8%	Gemini 4 Argon
ARC-AGI	98.5%	98.5%	Tie
ARC-AGI-2	91.3%	95.0%	GPT-6 Astra
Chess puzzles	59.0%	74.0%	GPT-6 Astra
Mystery game puzzles	64.0%	84.0%	GPT-6 Astra
EBR-bench	64.8%	76.2%	GPT-6 Astra
LMArena Text: hard prompts	1546	1463	Gemini 4 Argon
LMArena Text: expert	1550	1489	Gemini 4 Argon
LMArena Text: hard prompts in English	1548	1464	Gemini 4 Argon
LMArena Vision: diagrams	Not measured	1297	Only GPT-6 Astra measured
LMArena Vision: homework	Not measured	1337	Only GPT-6 Astra measured
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index22

Math benchmarks for Gemini 4 Argon and GPT-6 Astra
Benchmark	Gemini 4 Argon	GPT-6 Astra	Leader
OTIS Mock AIME	100.0%	100.0%	Tie
FrontierMath, tiers 1 to 3	86.0%	93.7%	GPT-6 Astra
FrontierMath, tier 4	78.0%	97.6%	GPT-6 Astra
ProofBench	99.0%	99.0%	Tie
LMArena Text: math	1536	1465	Gemini 4 Argon
LMArena Text: mathematical work	1557	1484	Gemini 4 Argon
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60

Knowledge benchmarks for Gemini 4 Argon and GPT-6 Astra
Benchmark	Gemini 4 Argon	GPT-6 Astra	Leader
LegalBench (Vals AI)	88.3%	Not measured	Only Gemini 4 Argon measured
MedCode (Vals AI)	58.8%	48.5%	Gemini 4 Argon
SimpleQA Verified	76.0%	75.6%	Gemini 4 Argon
LMArena Text: science	1548	1451	Gemini 4 Argon
LMArena Text: medicine and healthcare	1555	1425	Gemini 4 Argon
LMArena Text: legal and government	1548	1462	Gemini 4 Argon
LMArena Text: business and finance	1525	1439	Gemini 4 Argon
Neither model has a result on the other 10 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index07

Web design benchmarks for Gemini 4 Argon and GPT-6 Astra
Benchmark	Gemini 4 Argon	GPT-6 Astra	Leader
Design Arena: websites	1315	1337	GPT-6 Astra
Design Arena: UI components	1333	1394	GPT-6 Astra
Design Arena: game dev	1377	1474	GPT-6 Astra
Design Arena: data viz	1334	1335	GPT-6 Astra
Design Arena: 3D	1389	1501	GPT-6 Astra
Design Arena: all code categories	1328	1379	GPT-6 Astra
Design Arena: SVG	Not measured	1431	Only GPT-6 Astra measured
Design Arena: ASCII art	Not measured	1359	Only GPT-6 Astra measured
LiveBench design	73.7%	82.0%	GPT-6 Astra

GeneralLike-for-likePublic boards, shown as published, kept out of the index164

General benchmarks for Gemini 4 Argon and GPT-6 Astra
Benchmark	Gemini 4 Argon	GPT-6 Astra	Leader
Vals Index	69.2%	65.0%	Gemini 4 Argon
LiveBench data analysis	85.2%	83.0%	Gemini 4 Argon
Public Benefits Bench (Vals AI)	69.8%	Not measured	Only Gemini 4 Argon measured
SAGE (Vals AI)	53.6%	46.4%	Gemini 4 Argon
MedScribe (Vals AI)	87.4%	87.9%	GPT-6 Astra
Long context reasoning (AA-LCR)	79.7%	80.7%	GPT-6 Astra
DTBench	97.6%	97.3%	Gemini 4 Argon
LMCA	63.7%	64.4%	GPT-6 Astra
Furniture assembly	72.5%	80.0%	GPT-6 Astra
LMArena Text	1532	1441	Gemini 4 Argon
LMArena Text: instruction following	1534	1455	Gemini 4 Argon
LMArena Text: creative writing	1527	1420	Gemini 4 Argon
LMArena Vision	Not measured	1280	Only GPT-6 Astra measured
LMArena Text: English	1538	1447	Gemini 4 Argon
LMArena Text: non-English	1522	1432	Gemini 4 Argon
LMArena Text: Chinese	1611	1489	Gemini 4 Argon
LMArena Text: German	Not measured	1459	Only GPT-6 Astra measured
LMArena Text: Japanese	Not measured	1405	Only GPT-6 Astra measured
LMArena Text: Korean	Not measured	1428	Only GPT-6 Astra measured
LMArena Text: French	Not measured	1432	Only GPT-6 Astra measured
LMArena Text: Spanish	1503	1422	Gemini 4 Argon
LMArena Text: Russian	1534	1438	Gemini 4 Argon
LMArena Text: Polish	Not measured	1422	Only GPT-6 Astra measured
LMArena Text: multi-turn	1556	1447	Gemini 4 Argon
LMArena Text: longer queries	1547	1460	Gemini 4 Argon
LMArena Text: writing and language	1529	1437	Gemini 4 Argon
LMArena Text: entertainment and media	1527	1427	Gemini 4 Argon
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 15 boards here

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

Image generation benchmarks for Gemini 4 Argon and GPT-6 Astra
Benchmark	Gemini 4 Argon	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

Gemini 4 Argon$0.0070Fits in one request

GPT-6 Astra$0.035Fits in one request

Gemini 4 Argon costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request

GPT-6 Astra$0.650Fits in one request

Gemini 4 Argon costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request

GPT-6 Astra$2.50Fits in one request

Gemini 4 Argon 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 Gemini 4 Argon and GPT-6 Astra
Specification	Google Gemini 4 Argon	OpenAI GPT-6 Astra
Maker	Google	OpenAI
Weights	No public weights listed	No public weights listed
Released	October 13, 2026	September 4, 2026
Context window	1.05M	1.05M
Input $/Mtok	$2.00	$10.00
Output $/Mtok	$10.00	$50.00
Coding index	80.5	88.7
Independent measurements behind it	2	2
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 4 Argon better than GPT-6 Astra for coding?

Pick GPT-6 Astra for coding: it scores 88.7 on the Vibe Coding Index against 80.5 for Gemini 4 Argon. Pick Gemini 4 Argon when output tokens cost 5.0x less, or when what matters is Vibe Code Bench (Vals AI) or Code migration (Vals AI), where it leads.

Which is cheaper, Gemini 4 Argon or GPT-6 Astra?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-6 Astra costs $10.00 and $50.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 4 Argon or GPT-6 Astra?

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

How many benchmarks is the Gemini 4 Argon vs GPT-6 Astra comparison based on?

90 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon'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

Web design

General

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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