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Claude Opus 4.7 vs GPT-6 Luna

Claude Opus 4.7 leads GPT-6 Luna on coding, 67.5 to 57.3 on the Vibe Coding Index, and GPT-6 Luna costs 50.0x less per output token ($0.50 vs $25.00 per million). Updated October 22, 2026; 70 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace GPT-6 Luna
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
53
GPT-6 LunaOpenAI
Coding
57.3
Overall
59.7
Output $/M
$0.50
17
vs boards won of 70 shared

Claude Opus 4.7 or GPT-6 Luna: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 57.3 for GPT-6 Luna, though on 4 benchmarks against 5.

Pick GPT-6 Luna for output tokens 50.0x cheaper ($0.50 vs $25.00 per million) and a larger context window (1.05M against 1M tokens).

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved taskModel BGPT-6 LunaOpenAI57.3/1005 independent benchmarksNo cost per solved task
Shared results
70
Claude Opus 4.7 only
33
GPT-6 Luna only
33
Like-for-like categories
7 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
Claude Opus 4.7 67.5 from 4 benchmarks, GPT-6 Luna 57.3 from 5 benchmarks.
Widest category
Knowledge, 16.7 points apart on average over 7 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Opus 4.7 31.7% against GPT-6 Luna 56.1%, 24.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against GPT-6 Luna $0.50 per million output tokens, 50.0x apart.
Context window
Claude Opus 4.7 takes 1M tokens, GPT-6 Luna 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
CategoryClaude Opus 4.7BarsGPT-6 LunaTies
Coding47
Intelligence20
Agentic work41
Reasoning101
Math24
Knowledge61
General253
All shared boards5317
CodingLike-for-likeSix of these boards feed the Vibe Coding Index47
Coding benchmarks for Claude Opus 4.7 and GPT-6 Luna
BenchmarkClaude Opus 4.7GPT-6 LunaLeader
LiveBench codingNot measured84.5%Only GPT-6 Luna measured
LMArena WebDev15581578GPT-6 Luna
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 4 (Vals AI)Not measured13.6%Only GPT-6 Luna measured
Vibe Code Bench (Vals AI)71.0%81.7%GPT-6 Luna
Code migration (Vals AI)43.9%42.5%Claude Opus 4.7
ProgramBench (Vals AI)0.0%0.5%GPT-6 Luna
IOI (Vals AI)Not measured55.6%Only GPT-6 Luna measured
Terminal-Bench 2.1 (Vals AI)68.5%73.0%GPT-6 Luna
SWE-bench Multimodal (Vals AI)Not measured37.5%Only GPT-6 Luna measured
CyberBench (Vals AI)Not measured76.3%Only GPT-6 Luna measured
SciCodeNot measured54.6%Only GPT-6 Luna measured
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%42.4%GPT-6 Luna
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured1576.9Only GPT-6 Luna measured
LMArena Text: coding15191437Claude Opus 4.7
LMArena Text: software and IT15161423Claude Opus 4.7
LMArena WebDev: React15601573GPT-6 Luna
LMArena WebDev: HTML15541595GPT-6 Luna
LMArena WebDev: from an image15771571Claude Opus 4.7
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and GPT-6 Luna
BenchmarkClaude Opus 4.7GPT-6 LunaLeader
AA Intelligence Index40.738.1Claude Opus 4.7
Epoch Capabilities Index156.8156.8Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for Claude Opus 4.7 and GPT-6 Luna
BenchmarkClaude Opus 4.7GPT-6 LunaLeader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Design Arena: agents building web appsNot measured1191Only GPT-6 Luna measured
Design Arena: agents building full-stack appsNot measured1158Only GPT-6 Luna measured
Design Arena: agents building mobile appsNot measured1134Only GPT-6 Luna measured
LiveBench researchNot measured43.5%Only GPT-6 Luna measured
LiveBench browserNot measured72.0%Only GPT-6 Luna measured
LiveBench long agenticNot measured48.1%Only GPT-6 Luna measured
SREBench (Vals AI)Not measured2.7%Only GPT-6 Luna measured
Finance Agent (Vals AI)51.5%49.9%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%19.9%Claude Opus 4.7
Legal Research Bench (Vals AI)38.5%30.3%Claude Opus 4.7
Harvey's Legal Agent Benchmark (Vals AI)Not measured4.2%Only GPT-6 Luna measured
Excel Modeling Benchmark (Vals AI)63.7%68.5%GPT-6 Luna
BioMysteryBench (Vals AI)Not measured61.5%Only GPT-6 Luna measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only GPT-6 Luna measured
Vals Science IndexNot measured28.4%Only GPT-6 Luna measured
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%44.3%Claude Opus 4.7
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
SpireClimbNot measured0.0%Only GPT-6 Luna measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index101
Reasoning benchmarks for Claude Opus 4.7 and GPT-6 Luna
BenchmarkClaude Opus 4.7GPT-6 LunaLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
LiveBench reasoningNot measured81.8%Only GPT-6 Luna measured
MysteryMechanism (Vals AI)Not measured19.4%Only GPT-6 Luna measured
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%Not measuredOnly Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)42.3%38.5%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%90.5%GPT-6 Luna
ARC-AGI93.5%86.7%Claude Opus 4.7
ARC-AGI-275.8%59.3%Claude Opus 4.7
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%36.0%Claude Opus 4.7
Mystery game puzzles28.0%7.0%Claude Opus 4.7
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061410Claude Opus 4.7
LMArena Text: expert15211442Claude Opus 4.7
LMArena Text: hard prompts in English15081410Claude Opus 4.7
LMArena Vision: diagrams13361245Claude Opus 4.7
LMArena Vision: homework13371261Claude Opus 4.7
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Claude Opus 4.7 and GPT-6 Luna
BenchmarkClaude Opus 4.7GPT-6 LunaLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%98.9%GPT-6 Luna
FrontierMath, tiers 1 to 370.2%78.9%GPT-6 Luna
FrontierMath, tier 431.7%56.1%GPT-6 Luna
ProofBench54.0%64.0%GPT-6 Luna
LMArena Text: math14981409Claude Opus 4.7
LMArena Text: mathematical work15091427Claude Opus 4.7
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index61
Knowledge benchmarks for Claude Opus 4.7 and GPT-6 Luna
BenchmarkClaude Opus 4.7GPT-6 LunaLeader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%Not measuredOnly Claude Opus 4.7 measured
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%44.7%Claude Opus 4.7
SimpleQA Verified51.7%41.4%Claude Opus 4.7
LMArena Text: science15081386Claude Opus 4.7
LMArena Text: medicine and healthcare14951352Claude Opus 4.7
LMArena Text: legal and government15041400Claude Opus 4.7
LMArena Text: business and finance14901388Claude Opus 4.7
FACTS Benchmark Suite45.5%63.3%GPT-6 Luna
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Opus 4.7 and GPT-6 Luna
BenchmarkClaude Opus 4.7GPT-6 LunaLeader
Design Arena: websitesNot measured1271Only GPT-6 Luna measured
Design Arena: UI componentsNot measured1295Only GPT-6 Luna measured
Design Arena: game devNot measured1257Only GPT-6 Luna measured
Design Arena: data vizNot measured1216Only GPT-6 Luna measured
Design Arena: 3DNot measured1218Only GPT-6 Luna measured
Design Arena: all code categoriesNot measured1270Only GPT-6 Luna measured
Design Arena: SVGNot measured1252Only GPT-6 Luna measured
Design Arena: ASCII artNot measured1153Only GPT-6 Luna measured
LiveBench designNot measured82.5%Only GPT-6 Luna measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index253
General benchmarks for Claude Opus 4.7 and GPT-6 Luna
BenchmarkClaude Opus 4.7GPT-6 LunaLeader
Vals IndexNot measured52.3%Only GPT-6 Luna measured
LiveBench data analysisNot measured73.4%Only GPT-6 Luna measured
Public Benefits Bench (Vals AI)Not measured57.6%Only GPT-6 Luna measured
SAGE (Vals AI)56.1%48.1%Claude Opus 4.7
MedScribe (Vals AI)83.0%83.7%GPT-6 Luna
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%83.3%GPT-6 Luna
DTBench94.7%90.1%Claude Opus 4.7
LMCA52.2%44.5%Claude Opus 4.7
Furniture assembly33.3%44.2%GPT-6 Luna
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901389Claude Opus 4.7
LMArena Text: instruction following14981408Claude Opus 4.7
LMArena Text: creative writing14861363Claude Opus 4.7
LMArena Vision13171216Claude Opus 4.7
LMArena Text: English14961393Claude Opus 4.7
LMArena Text: non-English14801381Claude Opus 4.7
LMArena Text: Chinese15311427Claude Opus 4.7
LMArena Text: German14951376Claude Opus 4.7
LMArena Text: Japanese14741369Claude Opus 4.7
LMArena Text: Korean14641359Claude Opus 4.7
LMArena Text: French15031408Claude Opus 4.7
LMArena Text: Spanish14941391Claude Opus 4.7
LMArena Text: Russian14941392Claude Opus 4.7
LMArena Text: Polish14891383Claude Opus 4.7
LMArena Text: multi-turn15051392Claude Opus 4.7
LMArena Text: longer queries15051408Claude Opus 4.7
LMArena Text: writing and language14921384Claude Opus 4.7
LMArena Text: entertainment and media14741364Claude Opus 4.7
LMArena Vision: English13221204Claude Opus 4.7
LMArena Vision: Chinese13711266Claude Opus 4.7
LMArena Vision: reading text13271225Claude Opus 4.7
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing13261205Claude Opus 4.7
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and GPT-6 Luna
BenchmarkClaude Opus 4.7GPT-6 LunaLeader
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

Claude Opus 4.7$0.018Fits in one request
GPT-6 Luna$0.0003Fits in one request

GPT-6 Luna costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
GPT-6 Luna$0.0065Fits in one request

GPT-6 Luna costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
GPT-6 Luna$0.025Fits 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 Claude Opus 4.7 and GPT-6 Luna
SpecificationAnthropic Claude Opus 4.7OpenAI GPT-6 Luna
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026September 22, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.10
Output $/Mtok$25.00$0.50
Coding index67.557.3
Independent measurements behind it45
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than GPT-6 Luna for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 57.3 for GPT-6 Luna, though on 4 benchmarks against 5. Pick GPT-6 Luna for output tokens 50.0x cheaper ($0.50 vs $25.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Opus 4.7 or GPT-6 Luna?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-6 Luna costs $0.10 and $0.50. Cost per solved task is known for Claude Opus 4.7 only.

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

GPT-6 Luna, with 1.05M tokens against 1M.

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

70 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and GPT-6 Luna's on 5. Where only one model has a result, the page says so instead of naming a winner.

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