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GPT-5.6 Luna vs Qwen3.7 Plus

GPT-5.6 Luna leads Qwen3.7 Plus on coding, 58.0 to 33.2 on the Vibe Coding Index, at about the same output price ($1.20 vs $1.28 per million). Updated October 22, 2026; 71 benchmarks have a result for both.

Replace GPT-5.6 Luna Replace Qwen3.7 Plus
GPT-5.6 LunaOpenAI
Coding
58.0
Overall
61.6
Output $/M
$1.20
31
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
40
vs boards won of 71 shared

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

Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-5.6 LunaOpenAI58.0/1006 independent benchmarks$0.04 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
71
GPT-5.6 Luna only
48
Qwen3.7 Plus only
4
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.

At a glance

Coding index
GPT-5.6 Luna 58.0 from 6 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Agentic work, 18.7 points apart on average over 5 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: GPT-5.6 Luna 82.1% against Qwen3.7 Plus 34.4%, 47.7 points apart on a 0 to 100 scale.
Output price
GPT-5.6 Luna $1.20 against Qwen3.7 Plus $1.28 per million output tokens, 1.1x apart.
Context window
GPT-5.6 Luna takes 1.05M tokens, Qwen3.7 Plus 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
CategoryGPT-5.6 LunaBarsQwen3.7 PlusTies
Coding72
Intelligence20
Agentic work50
Reasoning54
Math22
Knowledge23
Web design08
General821
All shared boards3140
CodingLike-for-likeSix of these boards feed the Vibe Coding Index72
Coding benchmarks for GPT-5.6 Luna and Qwen3.7 Plus
BenchmarkGPT-5.6 LunaQwen3.7 PlusLeader
LiveBench coding73.6%Not measuredOnly GPT-5.6 Luna measured
LMArena WebDev1518Not measuredOnly GPT-5.6 Luna measured
AA Coding Index71.455.9GPT-5.6 Luna
SWE-bench Verified (Vals AI)93.0%Not measuredOnly GPT-5.6 Luna measured
Terminal-Bench 4 (Vals AI)11.6%Not measuredOnly GPT-5.6 Luna measured
Vibe Code Bench (Vals AI)77.1%46.4%GPT-5.6 Luna
Code migration (Vals AI)44.5%12.9%GPT-5.6 Luna
ProgramBench (Vals AI)0.0%Not measuredOnly GPT-5.6 Luna measured
IOI (Vals AI)61.8%Not measuredOnly GPT-5.6 Luna measured
Terminal-Bench 2.1 (Vals AI)79.0%52.8%GPT-5.6 Luna
Vibe Code Bench 1-100 (Vals AI)22.6%Not measuredOnly GPT-5.6 Luna measured
SkillsBench (Vals AI)60.5%54.3%GPT-5.6 Luna
CyberBench (Vals AI)73.6%Not measuredOnly GPT-5.6 Luna measured
SciCode53.6%46.1%GPT-5.6 Luna
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
FrontierCode39.8%10.2%GPT-5.6 Luna
WeirdML60.9%Not measuredOnly GPT-5.6 Luna measured
ALE-Bench1667.4Not measuredOnly GPT-5.6 Luna measured
LMArena Text: coding14661473Qwen3.7 Plus
LMArena Text: software and IT14631473Qwen3.7 Plus
LMArena WebDev: React1508Not measuredOnly GPT-5.6 Luna measured
LMArena WebDev: HTML1520Not measuredOnly GPT-5.6 Luna measured
LMArena WebDev: from an image1517Not measuredOnly GPT-5.6 Luna measured
SciCode6.2%Not measuredOnly GPT-5.6 Luna measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.6 Luna and Qwen3.7 Plus
BenchmarkGPT-5.6 LunaQwen3.7 PlusLeader
AA Intelligence Index37.325.2GPT-5.6 Luna
Epoch Capabilities Index156.5147.0GPT-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 Plus
BenchmarkGPT-5.6 LunaQwen3.7 PlusLeader
AA Agentic Index42.117.5GPT-5.6 Luna
LiveBench research51.0%Not measuredOnly GPT-5.6 Luna measured
LiveBench browser68.0%Not measuredOnly GPT-5.6 Luna measured
LiveBench long agentic30.4%Not measuredOnly GPT-5.6 Luna measured
SREBench (Vals AI)1.5%Not measuredOnly GPT-5.6 Luna measured
Finance Agent (Vals AI)55.0%38.2%GPT-5.6 Luna
Tax Agent Bench (Vals AI)24.8%10.5%GPT-5.6 Luna
Legal Research Bench (Vals AI)36.5%16.4%GPT-5.6 Luna
Excel Modeling Benchmark (Vals AI)67.1%49.3%GPT-5.6 Luna
BioMysteryBench (Vals AI)61.5%Not measuredOnly GPT-5.6 Luna measured
Terminal-Bench-Science (Vals AI)0.0%Not measuredOnly GPT-5.6 Luna measured
Vals Science Index25.3%Not measuredOnly GPT-5.6 Luna measured
τ²-Bench TelecomNot measured93.0%Only Qwen3.7 Plus measured
APEX-Agents43.0%Not measuredOnly GPT-5.6 Luna measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
BALROG45.6%Not measuredOnly GPT-5.6 Luna measured
Vending-Bench 2$4,095Not measuredOnly GPT-5.6 Luna measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index54
Reasoning benchmarks for GPT-5.6 Luna and Qwen3.7 Plus
BenchmarkGPT-5.6 LunaQwen3.7 PlusLeader
GPQA Diamond91.7%Not measuredOnly GPT-5.6 Luna measured
LiveBench reasoning85.6%Not measuredOnly GPT-5.6 Luna measured
MysteryMechanism (Vals AI)14.4%Not measuredOnly GPT-5.6 Luna measured
MMMU Pro (Vals AI)85.0%Not measuredOnly GPT-5.6 Luna measured
GPQA Diamond (Artificial Analysis run)91.1%90.0%GPT-5.6 Luna
Humanity's Last Exam (Artificial Analysis run)39.5%35.6%GPT-5.6 Luna
GPQA Diamond (Epoch AI run)91.6%87.9%GPT-5.6 Luna
ARC-AGI88.0%Not measuredOnly GPT-5.6 Luna measured
ARC-AGI-259.5%Not measuredOnly GPT-5.6 Luna measured
SimpleBench46.8%Not measuredOnly GPT-5.6 Luna measured
Chess puzzles43.0%Not measuredOnly GPT-5.6 Luna measured
Mystery game puzzles21.0%17.0%GPT-5.6 Luna
LMArena Text: hard prompts14511460Qwen3.7 Plus
LMArena Text: expert14781466GPT-5.6 Luna
LMArena Text: hard prompts in English14601460Qwen3.7 Plus
LMArena Vision: diagrams12731292Qwen3.7 Plus
LMArena Vision: homework12821295Qwen3.7 Plus
Kagi LLM Benchmark49.1%Not measuredOnly GPT-5.6 Luna measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GPT-5.6 Luna and Qwen3.7 Plus
BenchmarkGPT-5.6 LunaQwen3.7 PlusLeader
OTIS Mock AIME98.3%93.3%GPT-5.6 Luna
FrontierMath, tiers 1 to 382.1%34.4%GPT-5.6 Luna
FrontierMath, tier 461.0%Not measuredOnly GPT-5.6 Luna measured
ProofBench60.0%Not measuredOnly GPT-5.6 Luna measured
LMArena Text: math14591467Qwen3.7 Plus
LMArena Text: mathematical work14701470Qwen3.7 Plus
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for GPT-5.6 Luna and Qwen3.7 Plus
BenchmarkGPT-5.6 LunaQwen3.7 PlusLeader
MMLU Pro86.0%Not measuredOnly GPT-5.6 Luna measured
LegalBench (Vals AI)84.0%Not measuredOnly GPT-5.6 Luna measured
CorpFin (Vals AI)64.2%Not measuredOnly GPT-5.6 Luna measured
TaxEval (Vals AI)76.2%Not measuredOnly GPT-5.6 Luna measured
MortgageTax (Vals AI)67.3%66.2%GPT-5.6 Luna
MedCode (Vals AI)42.4%Not measuredOnly GPT-5.6 Luna measured
SimpleQA Verified41.0%Not measuredOnly GPT-5.6 Luna measured
LMArena Text: science14331464Qwen3.7 Plus
LMArena Text: medicine and healthcare13991464Qwen3.7 Plus
LMArena Text: legal and government14461451Qwen3.7 Plus
LMArena Text: business and finance14391435GPT-5.6 Luna
FACTS Benchmark Suite35.0%Not measuredOnly 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 Plus
BenchmarkGPT-5.6 LunaQwen3.7 PlusLeader
Design Arena: websites12551269Qwen3.7 Plus
Design Arena: UI components12481258Qwen3.7 Plus
Design Arena: game dev11941261Qwen3.7 Plus
Design Arena: data viz12111276Qwen3.7 Plus
Design Arena: 3D11211238Qwen3.7 Plus
Design Arena: all code categories12311269Qwen3.7 Plus
Design Arena: SVG11941208Qwen3.7 Plus
Design Arena: ASCII art11421143Qwen3.7 Plus
LiveBench design76.0%Not measuredOnly GPT-5.6 Luna measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index821
General benchmarks for GPT-5.6 Luna and Qwen3.7 Plus
BenchmarkGPT-5.6 LunaQwen3.7 PlusLeader
LiveBench data analysis78.0%Not measuredOnly GPT-5.6 Luna measured
Public Benefits Bench (Vals AI)61.2%Not measuredOnly GPT-5.6 Luna measured
SAGE (Vals AI)44.2%39.3%GPT-5.6 Luna
MedScribe (Vals AI)84.4%Not measuredOnly GPT-5.6 Luna measured
Vals Multimodal Index69.1%53.9%GPT-5.6 Luna
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)83.7%73.0%GPT-5.6 Luna
DTBench89.1%84.0%GPT-5.6 Luna
LMCA48.5%37.6%GPT-5.6 Luna
Surface Evolver Bench61.9%Not measuredOnly GPT-5.6 Luna measured
Furniture assembly42.5%Not measuredOnly GPT-5.6 Luna measured
LMArena Text14311454Qwen3.7 Plus
LMArena Text: instruction following14371439Qwen3.7 Plus
LMArena Text: creative writing13961438Qwen3.7 Plus
LMArena Vision12571278Qwen3.7 Plus
LMArena Text: English14411458Qwen3.7 Plus
LMArena Text: non-English14171445Qwen3.7 Plus
LMArena Text: Chinese14701509Qwen3.7 Plus
LMArena Text: German14551471Qwen3.7 Plus
LMArena Text: Japanese14151412GPT-5.6 Luna
LMArena Text: Korean14151413GPT-5.6 Luna
LMArena Text: French14581472Qwen3.7 Plus
LMArena Text: Spanish14461457Qwen3.7 Plus
LMArena Text: Russian14271457Qwen3.7 Plus
LMArena Text: Polish14051449Qwen3.7 Plus
LMArena Text: multi-turn14341459Qwen3.7 Plus
LMArena Text: longer queries14361454Qwen3.7 Plus
LMArena Text: writing and language14191437Qwen3.7 Plus
LMArena Text: entertainment and media14021422Qwen3.7 Plus
LMArena Vision: English12631280Qwen3.7 Plus
LMArena Vision: Chinese12941332Qwen3.7 Plus
LMArena Vision: reading text12641288Qwen3.7 Plus
LMArena Vision: humor11901261Qwen3.7 Plus
LMArena Vision: creative writing12571258Qwen3.7 Plus
LMArena Document14571444GPT-5.6 Luna
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 Plus
BenchmarkGPT-5.6 LunaQwen3.7 PlusLeader
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 Plus$0.0010Fits 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 Plus$0.020Fits 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 Plus$0.077Fits 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 Plus
SpecificationOpenAI GPT-5.6 LunaQwen3.7 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedJuly 9, 2026June 3, 2026
Context window1.05M1M
Input $/Mtok$0.20$0.32
Output $/Mtok$1.20$1.28
Coding index58.033.2
Independent measurements behind it62
Cost per solved task$0.04Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

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

GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for GPT-5.6 Luna only.

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

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

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

71 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 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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