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Gemini 3.7 Flash vs GPT-6 Luna

Gemini 3.7 Flash leads GPT-6 Luna on coding, 58.0 to 57.3 on the Vibe Coding Index, and GPT-6 Luna costs 7.5x less per output token ($0.50 vs $3.75 per million). Updated October 21, 2026; 95 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace GPT-6 Luna
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
77
GPT-6 LunaOpenAI
Coding
57.3
Overall
59.7
Output $/M
$0.50
18
vs boards won of 95 shared

Gemini 3.7 Flash or GPT-6 Luna: which to pick

Gemini 3.7 Flash and GPT-6 Luna are level for coding, 58.0 against 57.3 on the Vibe Coding Index, so price and context decide.

Pick GPT-6 Luna for output tokens 7.5x cheaper ($0.50 vs $3.75 per million) and a larger context window (1.05M against 1.05M tokens). Pick Gemini 3.7 Flash for work measured by LMArena WebDev or IOI (Vals AI), where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BGPT-6 LunaOpenAI57.3/1005 independent benchmarksNo cost per solved task
Shared results
95
Gemini 3.7 Flash only
19
GPT-6 Luna only
8
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
Gemini 3.7 Flash 58.0 from 6 benchmarks, GPT-6 Luna 57.3 from 5 benchmarks.
Widest category
Knowledge, 17.2 points apart on average over 7 shared benchmarks.
Widest single gap
LiveBench research: Gemini 3.7 Flash 76.5% against GPT-6 Luna 43.5%, 33.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against GPT-6 Luna $0.50 per million output tokens, 7.5x apart.
Context window
Gemini 3.7 Flash takes 1.05M 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
CategoryGemini 3.7 FlashBarsGPT-6 LunaTies
Coding98
Intelligence20
Agentic work112
Reasoning120
Math24
Knowledge70
Web design81
General263
All shared boards7718
CodingLike-for-likeSix of these boards feed the Vibe Coding Index98
Coding benchmarks for Gemini 3.7 Flash and GPT-6 Luna
BenchmarkGemini 3.7 FlashGPT-6 LunaLeader
LiveBench coding80.5%84.5%GPT-6 Luna
LMArena WebDev15911578Gemini 3.7 Flash
AA Coding Index71.5Not measuredOnly Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)88.7%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)80.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)12.1%13.6%GPT-6 Luna
Vibe Code Bench (Vals AI)70.4%81.7%GPT-6 Luna
Code migration (Vals AI)34.8%42.5%GPT-6 Luna
ProgramBench (Vals AI)0.0%0.5%GPT-6 Luna
IOI (Vals AI)67.8%55.6%Gemini 3.7 Flash
Terminal-Bench 2.1 (Vals AI)77.5%73.0%Gemini 3.7 Flash
SWE-bench Multimodal (Vals AI)Not measured37.5%Only GPT-6 Luna measured
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%76.3%GPT-6 Luna
SciCode59.8%54.6%Gemini 3.7 Flash
FrontierCode43.6%42.4%Gemini 3.7 Flash
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.31576.9GPT-6 Luna
LMArena Text: coding14991437Gemini 3.7 Flash
LMArena Text: software and IT14981423Gemini 3.7 Flash
LMArena WebDev: React15871573Gemini 3.7 Flash
LMArena WebDev: HTML15931595GPT-6 Luna
LMArena WebDev: from an image15991571Gemini 3.7 Flash
SciCode13.8%Not measuredOnly Gemini 3.7 Flash 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 Gemini 3.7 Flash and GPT-6 Luna
BenchmarkGemini 3.7 FlashGPT-6 LunaLeader
AA Intelligence Index39.638.1Gemini 3.7 Flash
Epoch Capabilities Index158.0156.8Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index112
Agentic work benchmarks for Gemini 3.7 Flash and GPT-6 Luna
BenchmarkGemini 3.7 FlashGPT-6 LunaLeader
Design Arena: agents building web apps12231191Gemini 3.7 Flash
Design Arena: agents building full-stack apps12081158Gemini 3.7 Flash
Design Arena: agents building mobile apps12301128Gemini 3.7 Flash
Design Arena: agents building Android apps1242Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Godot games1264Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building games1235Not measuredOnly Gemini 3.7 Flash measured
Design Arena: spreadsheets1053Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%43.5%Gemini 3.7 Flash
LiveBench browser56.0%72.0%GPT-6 Luna
LiveBench long agentic28.3%48.1%GPT-6 Luna
SREBench (Vals AI)4.6%2.7%Gemini 3.7 Flash
Finance Agent (Vals AI)59.0%49.9%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%19.9%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%30.3%Gemini 3.7 Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured4.2%Only GPT-6 Luna measured
Excel Modeling Benchmark (Vals AI)71.3%68.5%Gemini 3.7 Flash
BioMysteryBench (Vals AI)Not measured61.5%Only GPT-6 Luna measured
Terminal-Bench-Science (Vals AI)7.1%4.3%Gemini 3.7 Flash
Vals Science IndexNot measured28.4%Only GPT-6 Luna measured
APEX-Agents67.8%44.3%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
SpireClimbNot measured0.0%Only GPT-6 Luna measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Gemini 3.7 Flash and GPT-6 Luna
BenchmarkGemini 3.7 FlashGPT-6 LunaLeader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
LiveBench reasoning87.8%81.8%Gemini 3.7 Flash
MysteryMechanism (Vals AI)Not measured19.4%Only GPT-6 Luna measured
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%Not measuredOnly Gemini 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)47.9%38.5%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%90.5%Gemini 3.7 Flash
ARC-AGI95.5%86.7%Gemini 3.7 Flash
ARC-AGI-284.6%59.3%Gemini 3.7 Flash
Chess puzzles66.0%36.0%Gemini 3.7 Flash
Mystery game puzzles37.0%7.0%Gemini 3.7 Flash
LMArena Text: hard prompts14951410Gemini 3.7 Flash
LMArena Text: expert15121442Gemini 3.7 Flash
LMArena Text: hard prompts in English14871410Gemini 3.7 Flash
LMArena Vision: diagrams13291245Gemini 3.7 Flash
LMArena Vision: homework13201261Gemini 3.7 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Gemini 3.7 Flash and GPT-6 Luna
BenchmarkGemini 3.7 FlashGPT-6 LunaLeader
OTIS Mock AIME97.2%98.9%GPT-6 Luna
FrontierMath, tiers 1 to 371.6%78.9%GPT-6 Luna
FrontierMath, tier 436.6%56.1%GPT-6 Luna
ProofBench58.0%64.0%GPT-6 Luna
LMArena Text: math15111409Gemini 3.7 Flash
LMArena Text: mathematical work15021427Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Gemini 3.7 Flash and GPT-6 Luna
BenchmarkGemini 3.7 FlashGPT-6 LunaLeader
MMLU Pro90.1%Not measuredOnly Gemini 3.7 Flash measured
LegalBench (Vals AI)87.3%Not measuredOnly Gemini 3.7 Flash measured
TaxEval (Vals AI)74.7%Not measuredOnly Gemini 3.7 Flash measured
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%44.7%Gemini 3.7 Flash
SimpleQA Verified69.2%41.4%Gemini 3.7 Flash
LMArena Text: science15111386Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941352Gemini 3.7 Flash
LMArena Text: legal and government14961400Gemini 3.7 Flash
LMArena Text: business and finance14791388Gemini 3.7 Flash
FACTS Benchmark Suite71.2%63.3%Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index81
Web design benchmarks for Gemini 3.7 Flash and GPT-6 Luna
BenchmarkGemini 3.7 FlashGPT-6 LunaLeader
Design Arena: websites13041272Gemini 3.7 Flash
Design Arena: UI components12991297Gemini 3.7 Flash
Design Arena: game dev13181260Gemini 3.7 Flash
Design Arena: data viz13151215Gemini 3.7 Flash
Design Arena: 3D13081217Gemini 3.7 Flash
Design Arena: all code categories13081271Gemini 3.7 Flash
Design Arena: SVG12831251Gemini 3.7 Flash
Design Arena: ASCII art12761153Gemini 3.7 Flash
LiveBench design73.2%82.5%GPT-6 Luna
GeneralLike-for-likePublic boards, shown as published, kept out of the index263
General benchmarks for Gemini 3.7 Flash and GPT-6 Luna
BenchmarkGemini 3.7 FlashGPT-6 LunaLeader
Vals IndexNot measured52.3%Only GPT-6 Luna measured
LiveBench data analysis68.0%73.4%GPT-6 Luna
Public Benefits Bench (Vals AI)Not measured57.6%Only GPT-6 Luna measured
SAGE (Vals AI)49.2%48.1%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%83.7%Gemini 3.7 Flash
Long context reasoning (AA-LCR)83.0%83.3%GPT-6 Luna
DTBench96.8%90.1%Gemini 3.7 Flash
LMCA50.4%44.5%Gemini 3.7 Flash
Furniture assembly26.7%44.2%GPT-6 Luna
LMArena Text14891389Gemini 3.7 Flash
LMArena Text: instruction following14841408Gemini 3.7 Flash
LMArena Text: creative writing14881363Gemini 3.7 Flash
LMArena Vision13141216Gemini 3.7 Flash
LMArena Text: English14831393Gemini 3.7 Flash
LMArena Text: non-English14871381Gemini 3.7 Flash
LMArena Text: Chinese15521427Gemini 3.7 Flash
LMArena Text: German15061376Gemini 3.7 Flash
LMArena Text: Japanese15111369Gemini 3.7 Flash
LMArena Text: Korean14811359Gemini 3.7 Flash
LMArena Text: French15001408Gemini 3.7 Flash
LMArena Text: Spanish14951391Gemini 3.7 Flash
LMArena Text: Russian15151392Gemini 3.7 Flash
LMArena Text: Polish15031383Gemini 3.7 Flash
LMArena Text: multi-turn14851392Gemini 3.7 Flash
LMArena Text: longer queries14921408Gemini 3.7 Flash
LMArena Text: writing and language14911384Gemini 3.7 Flash
LMArena Text: entertainment and media14771364Gemini 3.7 Flash
LMArena Vision: English13091204Gemini 3.7 Flash
LMArena Vision: Chinese13941266Gemini 3.7 Flash
LMArena Vision: reading text13221225Gemini 3.7 Flash
LMArena Vision: humor1299Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: creative writing13121205Gemini 3.7 Flash
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.7 Flash and GPT-6 Luna
BenchmarkGemini 3.7 FlashGPT-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

Gemini 3.7 Flash$0.0026Fits in one request
GPT-6 Luna$0.0003Fits in one request

GPT-6 Luna costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
GPT-6 Luna$0.0065Fits in one request

GPT-6 Luna costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits 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 Gemini 3.7 Flash and GPT-6 Luna
SpecificationGoogle Gemini 3.7 FlashOpenAI GPT-6 Luna
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026September 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$0.10
Output $/Mtok$3.75$0.50
Coding index58.057.3
Independent measurements behind it65
Cost per solved task$1.78Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than GPT-6 Luna for coding?

Gemini 3.7 Flash and GPT-6 Luna are level for coding, 58.0 against 57.3 on the Vibe Coding Index, so price and context decide. Pick GPT-6 Luna for output tokens 7.5x cheaper ($0.50 vs $3.75 per million) and a larger context window (1.05M against 1.05M tokens). Pick Gemini 3.7 Flash for work measured by LMArena WebDev or IOI (Vals AI), where it leads.

Which is cheaper, Gemini 3.7 Flash or GPT-6 Luna?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-6 Luna costs $0.10 and $0.50. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or GPT-6 Luna?

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

How many benchmarks is the Gemini 3.7 Flash vs GPT-6 Luna comparison based on?

95 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 6 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-gpt-6-luna">LLMBenchmark.ai, Gemini 3.7 Flash vs GPT-6 Luna</a></p>