GPT-5.6 Luna vs Qwen3.7 Max

GPT-5.6 Luna leads Qwen3.7 Max on coding, 58.0 to 54.1 on the Vibe Coding Index, and GPT-5.6 Luna costs 3.7x less per output token ($1.20 vs $4.425 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Replace GPT-5.6 Luna Replace Qwen3.7 Max

GPT-5.6 LunaOpenAI

Coding: 58.0
Overall: 61.6
Output $/M: $1.20

Qwen3.7 MaxQwen

Coding: 54.1
Overall: 61.7
Output $/M: $4.425

vs boards won of 46 shared

GPT-5.6 Luna or Qwen3.7 Max: which to pick

Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 54.1 for Qwen3.7 Max.

Pick Qwen3.7 Max for work measured by LMArena WebDev: React or GPQA Diamond (Artificial Analysis run), where it leads.

Model AGPT-5.6 LunaOpenAI58.0/1006 independent benchmarks$0.04 per solved task Model BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task

467313

Shared results: 46
GPT-5.6 Luna only: 73
Qwen3.7 Max only: 13
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-5.6 Luna
GPT-5.6 Luna scores 58.0 against 54.1.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Luna
GPT-5.6 Luna leads, 37.3 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Luna
GPT-5.6 Luna leads, 42.1 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Luna
GPT-5.6 Luna leads, 91.7% against 90.2%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.7 Max
Qwen3.7 Max leads, 89.3% against 86.0%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1255.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Luna
GPT-5.6 Luna takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.6 Luna
GPT-5.6 Luna $0.0008, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.6 Luna
GPT-5.6 Luna $0.04, Qwen3.7 Max $4.69.
Published attempt cost and pass rate

At a glance

Coding index: GPT-5.6 Luna 58.0 from 6 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category: Math, 20.3 points apart on average over 4 shared benchmarks.
Widest single gap: ProofBench: GPT-5.6 Luna 60.0% against Qwen3.7 Max 26.0%, 34.0 points apart on a 0 to 100 scale.
Output price: GPT-5.6 Luna $1.20 against Qwen3.7 Max $4.425 per million output tokens, 3.7x apart.
Context window: GPT-5.6 Luna takes 1.05M tokens, Qwen3.7 Max 1M.

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-5.6 Luna	Qwen3.7 Max
Coding	9	1
Intelligence	2	0
Agentic work	5	0
Reasoning	3	4
Math	4	0
Knowledge	3	3
Web design	0	8
General	3	1
All shared boards	29	17

CodingLike-for-likeSix of these boards feed the Vibe Coding Index91

Coding benchmarks for GPT-5.6 Luna and Qwen3.7 Max
Benchmark	GPT-5.6 Luna	Qwen3.7 Max	Leader
LiveBench coding	73.6%	Not measured	Only GPT-5.6 Luna measured
LMArena WebDev	1518	1515	GPT-5.6 Luna
AA Coding Index	71.4	66.0	GPT-5.6 Luna
LiveCodeBench (Vals AI)	Not measured	87.1%	Only Qwen3.7 Max measured
SWE-bench Verified (Vals AI)	93.0%	68.8%	GPT-5.6 Luna
Terminal-Bench 4 (Vals AI)	11.6%	Not measured	Only GPT-5.6 Luna measured
Vibe Code Bench (Vals AI)	77.1%	47.7%	GPT-5.6 Luna
Code migration (Vals AI)	44.5%	13.1%	GPT-5.6 Luna
ProgramBench (Vals AI)	0.0%	Not measured	Only GPT-5.6 Luna measured
IOI (Vals AI)	61.8%	Not measured	Only GPT-5.6 Luna measured
Terminal-Bench 2.1 (Vals AI)	79.0%	61.0%	GPT-5.6 Luna
Vibe Code Bench 1-100 (Vals AI)	22.6%	Not measured	Only GPT-5.6 Luna measured
SkillsBench (Vals AI)	60.5%	Not measured	Only GPT-5.6 Luna measured
CyberBench (Vals AI)	73.6%	Not measured	Only GPT-5.6 Luna measured
SciCode	53.6%	49.5%	GPT-5.6 Luna
Terminal-Bench Hard (Artificial Analysis run)	Not measured	50.8%	Only Qwen3.7 Max measured
FrontierCode	39.8%	Not measured	Only GPT-5.6 Luna measured
WeirdML	60.9%	Not measured	Only GPT-5.6 Luna measured
ALE-Bench	1667.4	1189.4	GPT-5.6 Luna
LMArena Text: coding	1466	Not measured	Only GPT-5.6 Luna measured
LMArena Text: software and IT	1463	Not measured	Only GPT-5.6 Luna measured
LMArena WebDev: React	1508	1514	Qwen3.7 Max
LMArena WebDev: HTML	1520	1512	GPT-5.6 Luna
LMArena WebDev: from an image	1517	Not measured	Only GPT-5.6 Luna measured
SciCode	6.2%	Not measured	Only GPT-5.6 Luna measured
Neither model has a result on the other 14 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for GPT-5.6 Luna and Qwen3.7 Max
Benchmark	GPT-5.6 Luna	Qwen3.7 Max	Leader
AA Intelligence Index	37.3	29.5	GPT-5.6 Luna
Epoch Capabilities Index	156.5	154.0	GPT-5.6 Luna

Agentic workLike-for-likePublic boards, shown as published, kept out of the index50

Agentic work benchmarks for GPT-5.6 Luna and Qwen3.7 Max
Benchmark	GPT-5.6 Luna	Qwen3.7 Max	Leader
AA Agentic Index	42.1	22.5	GPT-5.6 Luna
Design Arena: agents building web apps	Not measured	1208	Only Qwen3.7 Max measured
Design Arena: agents building full-stack apps	Not measured	1191	Only Qwen3.7 Max measured
Design Arena: agents building mobile apps	Not measured	1154	Only Qwen3.7 Max measured
Design Arena: agents building Android apps	Not measured	1159	Only Qwen3.7 Max measured
Design Arena: agents building Godot games	Not measured	1187	Only Qwen3.7 Max measured
Design Arena: agents building games	Not measured	1161	Only Qwen3.7 Max measured
Design Arena: HTML slides	Not measured	1108	Only Qwen3.7 Max measured
Design Arena: PowerPoint slides	Not measured	1172	Only Qwen3.7 Max measured
LiveBench research	51.0%	Not measured	Only GPT-5.6 Luna measured
LiveBench browser	68.0%	Not measured	Only GPT-5.6 Luna measured
LiveBench long agentic	30.4%	Not measured	Only GPT-5.6 Luna measured
SREBench (Vals AI)	1.5%	Not measured	Only GPT-5.6 Luna measured
Finance Agent (Vals AI)	55.0%	47.8%	GPT-5.6 Luna
Tax Agent Bench (Vals AI)	24.8%	15.8%	GPT-5.6 Luna
Legal Research Bench (Vals AI)	36.5%	25.5%	GPT-5.6 Luna
Excel Modeling Benchmark (Vals AI)	67.1%	57.0%	GPT-5.6 Luna
BioMysteryBench (Vals AI)	61.5%	Not measured	Only GPT-5.6 Luna measured
Terminal-Bench-Science (Vals AI)	0.0%	Not measured	Only GPT-5.6 Luna measured
Vals Science Index	25.3%	Not measured	Only GPT-5.6 Luna measured
τ²-Bench Telecom	Not measured	94.7%	Only Qwen3.7 Max measured
APEX-Agents	43.0%	Not measured	Only GPT-5.6 Luna measured
BALROG	45.6%	Not measured	Only GPT-5.6 Luna measured
Vending-Bench 2	$4,095	Not measured	Only GPT-5.6 Luna measured
Neither model has a result on the other 17 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index34

Reasoning benchmarks for GPT-5.6 Luna and Qwen3.7 Max
Benchmark	GPT-5.6 Luna	Qwen3.7 Max	Leader
GPQA Diamond	91.7%	90.2%	GPT-5.6 Luna
LiveBench reasoning	85.6%	Not measured	Only GPT-5.6 Luna measured
MysteryMechanism (Vals AI)	14.4%	Not measured	Only GPT-5.6 Luna measured
MMMU Pro (Vals AI)	85.0%	Not measured	Only GPT-5.6 Luna measured
GPQA Diamond (Artificial Analysis run)	91.1%	92.3%	Qwen3.7 Max
Humanity's Last Exam (Artificial Analysis run)	39.5%	40.5%	Qwen3.7 Max
GPQA Diamond (Epoch AI run)	91.6%	90.9%	GPT-5.6 Luna
ARC-AGI	88.0%	Not measured	Only GPT-5.6 Luna measured
ARC-AGI-2	59.5%	Not measured	Only GPT-5.6 Luna measured
SimpleBench	46.8%	70.4%	Qwen3.7 Max
Chess puzzles	43.0%	26.0%	GPT-5.6 Luna
Mystery game puzzles	21.0%	32.0%	Qwen3.7 Max
EBR-bench	Not measured	9.5%	Only Qwen3.7 Max measured
LMArena Text: hard prompts	1451	Not measured	Only GPT-5.6 Luna measured
LMArena Text: expert	1478	Not measured	Only GPT-5.6 Luna measured
LMArena Text: hard prompts in English	1460	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: diagrams	1273	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: homework	1282	Not measured	Only GPT-5.6 Luna measured
Kagi LLM Benchmark	49.1%	Not measured	Only GPT-5.6 Luna measured
Neither model has a result on the other 3 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index40

Math benchmarks for GPT-5.6 Luna and Qwen3.7 Max
Benchmark	GPT-5.6 Luna	Qwen3.7 Max	Leader
OTIS Mock AIME	98.3%	95.6%	GPT-5.6 Luna
FrontierMath, tiers 1 to 3	82.1%	64.6%	GPT-5.6 Luna
FrontierMath, tier 4	61.0%	34.1%	GPT-5.6 Luna
ProofBench	60.0%	26.0%	GPT-5.6 Luna
LMArena Text: math	1459	Not measured	Only GPT-5.6 Luna measured
LMArena Text: mathematical work	1470	Not measured	Only GPT-5.6 Luna measured
Neither model has a result on the other 7 boards here

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

Knowledge benchmarks for GPT-5.6 Luna and Qwen3.7 Max
Benchmark	GPT-5.6 Luna	Qwen3.7 Max	Leader
MMLU Pro	86.0%	89.3%	Qwen3.7 Max
LegalBench (Vals AI)	84.0%	84.9%	Qwen3.7 Max
CorpFin (Vals AI)	64.2%	63.7%	GPT-5.6 Luna
TaxEval (Vals AI)	76.2%	75.3%	GPT-5.6 Luna
MortgageTax (Vals AI)	67.3%	Not measured	Only GPT-5.6 Luna measured
MedCode (Vals AI)	42.4%	38.8%	GPT-5.6 Luna
SimpleQA Verified	41.0%	55.8%	Qwen3.7 Max
LMArena Text: science	1433	Not measured	Only GPT-5.6 Luna measured
LMArena Text: medicine and healthcare	1399	Not measured	Only GPT-5.6 Luna measured
LMArena Text: legal and government	1446	Not measured	Only GPT-5.6 Luna measured
LMArena Text: business and finance	1439	Not measured	Only GPT-5.6 Luna measured
FACTS Benchmark Suite	35.0%	Not measured	Only GPT-5.6 Luna 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 GPT-5.6 Luna and Qwen3.7 Max
Benchmark	GPT-5.6 Luna	Qwen3.7 Max	Leader
Design Arena: websites	1255	1274	Qwen3.7 Max
Design Arena: UI components	1248	1267	Qwen3.7 Max
Design Arena: game dev	1195	1265	Qwen3.7 Max
Design Arena: data viz	1212	1276	Qwen3.7 Max
Design Arena: 3D	1121	1265	Qwen3.7 Max
Design Arena: all code categories	1230	1274	Qwen3.7 Max
Design Arena: SVG	1193	1216	Qwen3.7 Max
Design Arena: ASCII art	1142	1211	Qwen3.7 Max
LiveBench design	76.0%	Not measured	Only GPT-5.6 Luna measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index31

General benchmarks for GPT-5.6 Luna and Qwen3.7 Max
Benchmark	GPT-5.6 Luna	Qwen3.7 Max	Leader
LiveBench data analysis	78.0%	Not measured	Only GPT-5.6 Luna measured
Public Benefits Bench (Vals AI)	61.2%	Not measured	Only GPT-5.6 Luna measured
SAGE (Vals AI)	44.2%	Not measured	Only GPT-5.6 Luna measured
MedScribe (Vals AI)	84.4%	79.4%	GPT-5.6 Luna
Vals Multimodal Index	69.1%	Not measured	Only GPT-5.6 Luna measured
IFBench	Not measured	80.5%	Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)	83.7%	79.0%	GPT-5.6 Luna
DTBench	89.1%	92.3%	Qwen3.7 Max
LMCA	48.5%	44.0%	GPT-5.6 Luna
Surface Evolver Bench	61.9%	Not measured	Only GPT-5.6 Luna measured
Furniture assembly	42.5%	Not measured	Only GPT-5.6 Luna measured
LMArena Text	1431	Not measured	Only GPT-5.6 Luna measured
LMArena Text: instruction following	1437	Not measured	Only GPT-5.6 Luna measured
LMArena Text: creative writing	1396	Not measured	Only GPT-5.6 Luna measured
LMArena Vision	1257	Not measured	Only GPT-5.6 Luna measured
LMArena Text: English	1441	Not measured	Only GPT-5.6 Luna measured
LMArena Text: non-English	1417	Not measured	Only GPT-5.6 Luna measured
LMArena Text: Chinese	1470	Not measured	Only GPT-5.6 Luna measured
LMArena Text: German	1455	Not measured	Only GPT-5.6 Luna measured
LMArena Text: Japanese	1415	Not measured	Only GPT-5.6 Luna measured
LMArena Text: Korean	1415	Not measured	Only GPT-5.6 Luna measured
LMArena Text: French	1458	Not measured	Only GPT-5.6 Luna measured
LMArena Text: Spanish	1446	Not measured	Only GPT-5.6 Luna measured
LMArena Text: Russian	1427	Not measured	Only GPT-5.6 Luna measured
LMArena Text: Polish	1405	Not measured	Only GPT-5.6 Luna measured
LMArena Text: multi-turn	1434	Not measured	Only GPT-5.6 Luna measured
LMArena Text: longer queries	1436	Not measured	Only GPT-5.6 Luna measured
LMArena Text: writing and language	1419	Not measured	Only GPT-5.6 Luna measured
LMArena Text: entertainment and media	1402	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: English	1263	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: Chinese	1294	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: reading text	1264	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: humor	1190	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: creative writing	1257	Not measured	Only GPT-5.6 Luna measured
LMArena Document	1457	Not measured	Only GPT-5.6 Luna measured
Neither model has a result on the other 11 boards here

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

Image generation benchmarks for GPT-5.6 Luna and Qwen3.7 Max
Benchmark	GPT-5.6 Luna	Qwen3.7 Max	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-5.6 Luna$0.0008Fits in one request

Qwen3.7 Max$0.0037Fits in one request

GPT-5.6 Luna costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Luna$0.014Fits in one request

Qwen3.7 Max$0.087Fits in one request

GPT-5.6 Luna costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Luna$0.052Fits in one request

Qwen3.7 Max$0.339Fits in one request

GPT-5.6 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-5.6 Luna and Qwen3.7 Max
Specification	OpenAI GPT-5.6 Luna	Qwen3.7 Max
Maker	OpenAI	Qwen
Weights	No public weights listed	No public weights listed
Released	July 9, 2026	May 21, 2026
Context window	1.05M	1M
Input $/Mtok	$0.20	$1.475
Output $/Mtok	$1.20	$4.425
Coding index	58.0	54.1
Independent measurements behind it	6	3
Cost per solved task	$0.04	$4.69
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-5.6 Luna better than Qwen3.7 Max for coding?

Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 54.1 for Qwen3.7 Max. Pick Qwen3.7 Max for work measured by LMArena WebDev: React or GPQA Diamond (Artificial Analysis run), where it leads.

Which is cheaper, GPT-5.6 Luna or Qwen3.7 Max?

GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, GPT-5.6 Luna costs $0.04 and Qwen3.7 Max $4.69.

Which has the bigger context window, GPT-5.6 Luna or Qwen3.7 Max?

GPT-5.6 Luna, with 1.05M tokens against 1M.

How many benchmarks is the GPT-5.6 Luna vs Qwen3.7 Max comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Luna's coding index rests on 6 independent benchmarks and Qwen3.7 Max's on 3. Where only one model has a result, the page says so instead of naming a winner.

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GPT-5.6 Luna or Qwen3.7 Max: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

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