GPT-6 Luna vs Grok 4.7

Updated October 21, 2026. 95 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-6 Luna Replace Grok 4.7

GPT-6 LunaOpenAI

Coding: 71.4
Overall: 38.1
Output $/M: $0.50

Grok 4.7xAI

Coding: 75.0
Overall: 46.4
Output $/M: $6.00

vs boards won of 95 shared, 3 tied

Decision reading

Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 71.4 for GPT-6 Luna.

Pick GPT-6 Luna when output tokens cost 12.0x less, or when the context window is larger, 1.05M against 500K tokens.

Model AGPT-6 LunaOpenAI71.4/1002 independent benchmarksNo cost per solved task Model BGrok 4.7xAI75.0/1002 independent benchmarksNo cost per solved task

9574

Shared results: 95
GPT-6 Luna only: 7
Grok 4.7 only: 4
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
Grok 4.7
Grok 4.7 scores 75.0 against 71.4.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 against 38.1.
Same board, both measured
Web design
Design Arena: websites
GPT-6 Luna
GPT-6 Luna leads, 1272 against 1255.
Same board, both measured
General
Vals Index
Grok 4.7
Grok 4.7 leads, 58.6% against 52.3%.
Same board, both measured
Long documents
Listed context window
GPT-6 Luna
GPT-6 Luna takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6 Luna
GPT-6 Luna $0.0003, Grok 4.7 $0.0050 per turn.
List prices

At a glance

Coding index: GPT-6 Luna 71.4 from 2 benchmarks, Grok 4.7 75.0 from 2 benchmarks.
Widest category: Math, 17.7 points apart on average over 6 shared benchmarks.
Widest single gap: LiveBench research: GPT-6 Luna 43.5% against Grok 4.7 86.4%, 42.9 points apart on a 0 to 100 scale.
Output price: GPT-6 Luna $0.50 against Grok 4.7 $6.00 per million output tokens, 12.0x apart.
Context window: GPT-6 Luna takes 1.05M tokens, Grok 4.7 500K.

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-6 Luna	Grok 4.7	Ties
Coding	3	12	2 ties
Intelligence	1	1
Agentic work	2	11
Reasoning	1	12
Math	4	2
Knowledge	0	6
Web design	3	3	1 tie
General	7	24
All shared boards	21	71	3 ties

CodingLike-for-likeFour of these boards feed the Vibe Coding Index312

Coding benchmarks for GPT-6 Luna and Grok 4.7
Benchmark	GPT-6 Luna	Grok 4.7	Leader
LiveBench coding	84.5%	84.5%	Tie
LMArena WebDev	1578	1637	Grok 4.7
Terminal-Bench 4 (Vals AI)	13.6%	28.8%	Grok 4.7
Vibe Code Bench (Vals AI)	81.7%	86.2%	Grok 4.7
Code migration (Vals AI)	42.5%	44.8%	Grok 4.7
ProgramBench (Vals AI)	0.5%	0.5%	Tie
IOI (Vals AI)	55.6%	57.7%	Grok 4.7
Terminal-Bench 2.1 (Vals AI)	73.0%	73.4%	Grok 4.7
SWE-bench Multimodal (Vals AI)	37.5%	42.9%	Grok 4.7
CyberBench (Vals AI)	76.3%	69.5%	GPT-6 Luna
SciCode	54.6%	57.8%	Grok 4.7
FrontierCode	42.4%	47.6%	Grok 4.7
FrontierSWE	Not measured	29.5%	Only Grok 4.7 measured
ALE-Bench	1576.9	Not measured	Only GPT-6 Luna measured
LMArena Text: coding	1437	1432	GPT-6 Luna
LMArena Text: software and IT	1423	1421	GPT-6 Luna
LMArena WebDev: React	1573	1663	Grok 4.7
LMArena WebDev: HTML	1595	1627	Grok 4.7
LMArena WebDev: from an image	1571	1586	Grok 4.7
Neither model has a result on the other 19 boards here

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

Intelligence benchmarks for GPT-6 Luna and Grok 4.7
Benchmark	GPT-6 Luna	Grok 4.7	Leader
AA Intelligence Index	38.1	46.4	Grok 4.7
Epoch Capabilities Index	156.8	154.4	GPT-6 Luna

Agentic workLike-for-likePublic boards, shown as published, kept out of the index211

Agentic work benchmarks for GPT-6 Luna and Grok 4.7
Benchmark	GPT-6 Luna	Grok 4.7	Leader
Design Arena: agents building web apps	1189	Not measured	Only GPT-6 Luna measured
Design Arena: agents building full-stack apps	1158	Not measured	Only GPT-6 Luna measured
Design Arena: agents building mobile apps	1133	Not measured	Only GPT-6 Luna measured
LiveBench research	43.5%	86.4%	Grok 4.7
LiveBench browser	72.0%	60.0%	GPT-6 Luna
LiveBench long agentic	48.1%	50.1%	Grok 4.7
SREBench (Vals AI)	2.7%	3.8%	Grok 4.7
Finance Agent (Vals AI)	49.9%	52.3%	Grok 4.7
Tax Agent Bench (Vals AI)	19.9%	34.2%	Grok 4.7
Legal Research Bench (Vals AI)	30.3%	47.1%	Grok 4.7
Harvey's Legal Agent Benchmark (Vals AI)	4.2%	18.3%	Grok 4.7
Excel Modeling Benchmark (Vals AI)	68.5%	67.0%	GPT-6 Luna
BioMysteryBench (Vals AI)	61.5%	69.3%	Grok 4.7
Terminal-Bench-Science (Vals AI)	4.3%	10.0%	Grok 4.7
Vals Science Index	28.4%	34.8%	Grok 4.7
Robo-bench (Vals AI)	Not measured	0.2%	Only Grok 4.7 measured
APEX-Agents	44.3%	54.6%	Grok 4.7
SpireClimb	0.0%	Not measured	Only GPT-6 Luna measured
Vending-Bench 2	Not measured	$10,537	Only Grok 4.7 measured
Neither model has a result on the other 20 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index112

Reasoning benchmarks for GPT-6 Luna and Grok 4.7
Benchmark	GPT-6 Luna	Grok 4.7	Leader
LiveBench reasoning	81.8%	82.7%	Grok 4.7
MysteryMechanism (Vals AI)	19.4%	25.2%	Grok 4.7
Humanity's Last Exam (Artificial Analysis run)	38.5%	43.1%	Grok 4.7
GPQA Diamond (Epoch AI run)	90.5%	92.7%	Grok 4.7
ARC-AGI	86.7%	90.2%	Grok 4.7
ARC-AGI-2	59.3%	61.4%	Grok 4.7
Chess puzzles	36.0%	41.0%	Grok 4.7
Mystery game puzzles	7.0%	29.0%	Grok 4.7
LMArena Text: hard prompts	1410	1415	Grok 4.7
LMArena Text: expert	1442	1439	GPT-6 Luna
LMArena Text: hard prompts in English	1410	1427	Grok 4.7
LMArena Vision: diagrams	1245	1254	Grok 4.7
LMArena Vision: homework	1261	1309	Grok 4.7
Neither model has a result on the other 8 boards here

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

Math benchmarks for GPT-6 Luna and Grok 4.7
Benchmark	GPT-6 Luna	Grok 4.7	Leader
OTIS Mock AIME	98.9%	98.1%	GPT-6 Luna
FrontierMath, tiers 1 to 3	78.9%	53.0%	GPT-6 Luna
FrontierMath, tier 4	56.1%	17.1%	GPT-6 Luna
ProofBench	64.0%	26.0%	GPT-6 Luna
LMArena Text: math	1409	1414	Grok 4.7
LMArena Text: mathematical work	1427	1435	Grok 4.7
Neither model has a result on the other 7 boards here

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

Knowledge benchmarks for GPT-6 Luna and Grok 4.7
Benchmark	GPT-6 Luna	Grok 4.7	Leader
LegalBench (Vals AI)	Not measured	84.4%	Only Grok 4.7 measured
MedCode (Vals AI)	44.7%	49.5%	Grok 4.7
SimpleQA Verified	41.4%	56.0%	Grok 4.7
LMArena Text: science	1386	1419	Grok 4.7
LMArena Text: medicine and healthcare	1352	1395	Grok 4.7
LMArena Text: legal and government	1400	1423	Grok 4.7
LMArena Text: business and finance	1388	1389	Grok 4.7
Neither model has a result on the other 10 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index33

Web design benchmarks for GPT-6 Luna and Grok 4.7
Benchmark	GPT-6 Luna	Grok 4.7	Leader
Design Arena: websites	1272	1255	GPT-6 Luna
Design Arena: UI components	1297	1271	GPT-6 Luna
Design Arena: game dev	1259	1314	Grok 4.7
Design Arena: data viz	1215	1227	Grok 4.7
Design Arena: 3D	1217	1269	Grok 4.7
Design Arena: all code categories	1271	1271	Tie
Design Arena: SVG	1253	Not measured	Only GPT-6 Luna measured
Design Arena: ASCII art	1156	Not measured	Only GPT-6 Luna measured
LiveBench design	82.5%	78.0%	GPT-6 Luna

GeneralLike-for-likePublic boards, shown as published, kept out of the index724

General benchmarks for GPT-6 Luna and Grok 4.7
Benchmark	GPT-6 Luna	Grok 4.7	Leader
Vals Index	52.3%	58.6%	Grok 4.7
LiveBench data analysis	73.4%	76.9%	Grok 4.7
Public Benefits Bench (Vals AI)	57.6%	65.6%	Grok 4.7
SAGE (Vals AI)	48.1%	40.8%	GPT-6 Luna
MedScribe (Vals AI)	83.7%	89.4%	Grok 4.7
Long context reasoning (AA-LCR)	83.3%	80.0%	GPT-6 Luna
DTBench	90.1%	96.0%	Grok 4.7
LMCA	44.5%	49.4%	Grok 4.7
Furniture assembly	44.2%	20.8%	GPT-6 Luna
LMArena Text	1389	1399	Grok 4.7
LMArena Text: instruction following	1408	1406	GPT-6 Luna
LMArena Text: creative writing	1363	1381	Grok 4.7
LMArena Vision	1216	1231	Grok 4.7
LMArena Text: English	1393	1411	Grok 4.7
LMArena Text: non-English	1381	1386	Grok 4.7
LMArena Text: Chinese	1427	1449	Grok 4.7
LMArena Text: German	1376	1366	GPT-6 Luna
LMArena Text: Japanese	1369	1359	GPT-6 Luna
LMArena Text: Korean	1359	1383	Grok 4.7
LMArena Text: French	1408	1431	Grok 4.7
LMArena Text: Spanish	1391	1406	Grok 4.7
LMArena Text: Russian	1392	1399	Grok 4.7
LMArena Text: Polish	1383	1420	Grok 4.7
LMArena Text: multi-turn	1392	1394	Grok 4.7
LMArena Text: longer queries	1408	1416	Grok 4.7
LMArena Text: writing and language	1384	1394	Grok 4.7
LMArena Text: entertainment and media	1364	1376	Grok 4.7
LMArena Vision: English	1204	1229	Grok 4.7
LMArena Vision: Chinese	1266	1250	GPT-6 Luna
LMArena Vision: reading text	1225	1241	Grok 4.7
LMArena Vision: creative writing	1205	1217	Grok 4.7
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 GPT-6 Luna and Grok 4.7
Benchmark	GPT-6 Luna	Grok 4.7	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-6 Luna$0.0003Fits in one request

Grok 4.7$0.0050Fits in one request

GPT-6 Luna costs less

Repository review

50K input + 3K output tokens

GPT-6 Luna$0.0065Fits in one request

Grok 4.7$0.118Fits in one request

GPT-6 Luna costs less

Agent loop

200K input + 10K output tokens

GPT-6 Luna$0.025Fits in one request

Grok 4.7$0.460Fits in one request

GPT-6 Luna 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-6 Luna and Grok 4.7
Specification	OpenAI GPT-6 Luna	SpaceXAI Grok 4.7
Maker	OpenAI	xAI
Weights	No public weights listed	No public weights listed
Released	September 22, 2026	September 21, 2026
Context window	1.05M	500K
Input $/Mtok	$0.10	$2.00
Output $/Mtok	$0.50	$6.00
Coding index	71.4	75.0
Independent measurements behind it	2	2
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-6 Luna better than Grok 4.7 for coding?

Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 71.4 for GPT-6 Luna. Pick GPT-6 Luna when output tokens cost 12.0x less, or when the context window is larger, 1.05M against 500K tokens.

Which is cheaper, GPT-6 Luna or Grok 4.7?

GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-6 Luna or Grok 4.7?

GPT-6 Luna, with 1.05M tokens against 500K.

How many benchmarks is the GPT-6 Luna vs Grok 4.7 comparison based on?

95 benchmarks have a result for both models as of October 21, 2026. GPT-6 Luna's coding index rests on 2 independent benchmarks and Grok 4.7'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

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

Compare next