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Gemini 2.5 Pro vs GPT-5.6 Luna

GPT-5.6 Luna leads Gemini 2.5 Pro on coding, 58.0 to 19.1 on the Vibe Coding Index, and GPT-5.6 Luna costs 8.3x less per output token ($1.20 vs $10.00 per million). Updated October 22, 2026; 73 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace GPT-5.6 Luna
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
32
GPT-5.6 LunaOpenAI
Coding
58.0
Overall
61.6
Output $/M
$1.20
41
vs boards won of 73 shared

Gemini 2.5 Pro or GPT-5.6 Luna: which to pick

Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for work measured by LMArena Text: hard prompts or LMArena Vision: diagrams, where it leads.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BGPT-5.6 LunaOpenAI58.0/1006 independent benchmarks$0.04 per solved task
Shared results
73
Gemini 2.5 Pro only
17
GPT-5.6 Luna only
46
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 2.5 Pro 19.1 from 3 benchmarks, GPT-5.6 Luna 58.0 from 6 benchmarks.
Widest category
Agentic work, 31.3 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against GPT-5.6 Luna 77.1%, 76.7 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against GPT-5.6 Luna $1.20 per million output tokens, 8.3x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, GPT-5.6 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 2.5 ProBarsGPT-5.6 LunaTies
Coding010
Intelligence02
Agentic work02
Reasoning38
Math05
Knowledge71
Web design15
General218
All shared boards3241
CodingLike-for-likeSix of these boards feed the Vibe Coding Index010
Coding benchmarks for Gemini 2.5 Pro and GPT-5.6 Luna
BenchmarkGemini 2.5 ProGPT-5.6 LunaLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LiveBench codingNot measured73.6%Only GPT-5.6 Luna measured
LMArena WebDev12261518GPT-5.6 Luna
AA Coding Index33.371.4GPT-5.6 Luna
SWE-bench Verified (Vals AI)54.4%93.0%GPT-5.6 Luna
Terminal-Bench 4 (Vals AI)Not measured11.6%Only GPT-5.6 Luna measured
Vibe Code Bench (Vals AI)0.4%77.1%GPT-5.6 Luna
Code migration (Vals AI)Not measured44.5%Only GPT-5.6 Luna measured
ProgramBench (Vals AI)Not measured0.0%Only GPT-5.6 Luna measured
IOI (Vals AI)Not measured61.8%Only GPT-5.6 Luna measured
Terminal-Bench 2.1 (Vals AI)Not measured79.0%Only GPT-5.6 Luna measured
Vibe Code Bench 1-100 (Vals AI)Not measured22.6%Only GPT-5.6 Luna measured
SkillsBench (Vals AI)Not measured60.5%Only GPT-5.6 Luna measured
CyberBench (Vals AI)Not measured73.6%Only GPT-5.6 Luna measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%53.6%GPT-5.6 Luna
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierCodeNot measured39.8%Only GPT-5.6 Luna measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%60.9%GPT-5.6 Luna
ALE-BenchNot measured1667.4Only GPT-5.6 Luna measured
LMArena Text: coding14521466GPT-5.6 Luna
LMArena Text: software and IT14591463GPT-5.6 Luna
LMArena WebDev: ReactNot measured1508Only GPT-5.6 Luna measured
LMArena WebDev: HTML12351520GPT-5.6 Luna
LMArena WebDev: from an image12851517GPT-5.6 Luna
SciCodeNot measured6.2%Only GPT-5.6 Luna measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and GPT-5.6 Luna
BenchmarkGemini 2.5 ProGPT-5.6 LunaLeader
AA Intelligence Index16.137.3GPT-5.6 Luna
Epoch Capabilities Index145.1156.5GPT-5.6 Luna
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Pro and GPT-5.6 Luna
BenchmarkGemini 2.5 ProGPT-5.6 LunaLeader
AA Agentic Index1.642.1GPT-5.6 Luna
LiveBench researchNot measured51.0%Only GPT-5.6 Luna measured
LiveBench browserNot measured68.0%Only GPT-5.6 Luna measured
LiveBench long agenticNot measured30.4%Only GPT-5.6 Luna measured
SREBench (Vals AI)Not measured1.5%Only GPT-5.6 Luna measured
Finance Agent (Vals AI)Not measured55.0%Only GPT-5.6 Luna measured
Tax Agent Bench (Vals AI)Not measured24.8%Only GPT-5.6 Luna measured
Legal Research Bench (Vals AI)Not measured36.5%Only GPT-5.6 Luna measured
Excel Modeling Benchmark (Vals AI)Not measured67.1%Only GPT-5.6 Luna measured
BioMysteryBench (Vals AI)Not measured61.5%Only GPT-5.6 Luna measured
Terminal-Bench-Science (Vals AI)Not measured0.0%Only GPT-5.6 Luna measured
Vals Science IndexNot measured25.3%Only GPT-5.6 Luna measured
τ²-Bench Telecom54.1%Not measuredOnly Gemini 2.5 Pro measured
APEX-AgentsNot measured43.0%Only GPT-5.6 Luna measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
BALROGNot measured45.6%Only GPT-5.6 Luna measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574$4,095GPT-5.6 Luna
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index38
Reasoning benchmarks for Gemini 2.5 Pro and GPT-5.6 Luna
BenchmarkGemini 2.5 ProGPT-5.6 LunaLeader
GPQA DiamondNot measured91.7%Only GPT-5.6 Luna measured
LiveBench reasoningNot measured85.6%Only GPT-5.6 Luna measured
MysteryMechanism (Vals AI)Not measured14.4%Only GPT-5.6 Luna measured
MMMU Pro (Vals AI)Not measured85.0%Only GPT-5.6 Luna measured
GPQA Diamond (Artificial Analysis run)84.4%91.1%GPT-5.6 Luna
Humanity's Last Exam (Artificial Analysis run)22.5%39.5%GPT-5.6 Luna
GPQA Diamond (Epoch AI run)85.3%91.6%GPT-5.6 Luna
ARC-AGI41.0%88.0%GPT-5.6 Luna
ARC-AGI-24.9%59.5%GPT-5.6 Luna
SimpleBenchNot measured46.8%Only GPT-5.6 Luna measured
Chess puzzlesNot measured43.0%Only GPT-5.6 Luna measured
Mystery game puzzlesNot measured21.0%Only GPT-5.6 Luna measured
LMArena Text: hard prompts14551451Gemini 2.5 Pro
LMArena Text: expert14521478GPT-5.6 Luna
LMArena Text: hard prompts in English14531460GPT-5.6 Luna
LMArena Vision: diagrams12741273Gemini 2.5 Pro
LMArena Vision: homework12811282GPT-5.6 Luna
Kagi LLM Benchmark70.3%49.1%Gemini 2.5 Pro
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Gemini 2.5 Pro and GPT-5.6 Luna
BenchmarkGemini 2.5 ProGPT-5.6 LunaLeader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%98.3%GPT-5.6 Luna
FrontierMath, tiers 1 to 324.6%82.1%GPT-5.6 Luna
FrontierMath, tier 40.0%61.0%GPT-5.6 Luna
ProofBenchNot measured60.0%Only GPT-5.6 Luna measured
LMArena Text: math14501459GPT-5.6 Luna
LMArena Text: mathematical work14541470GPT-5.6 Luna
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index71
Knowledge benchmarks for Gemini 2.5 Pro and GPT-5.6 Luna
BenchmarkGemini 2.5 ProGPT-5.6 LunaLeader
MMLU ProNot measured86.0%Only GPT-5.6 Luna measured
LegalBench (Vals AI)Not measured84.0%Only GPT-5.6 Luna measured
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%64.2%GPT-5.6 Luna
TaxEval (Vals AI)Not measured76.2%Only GPT-5.6 Luna measured
MortgageTax (Vals AI)68.9%67.3%Gemini 2.5 Pro
MedCode (Vals AI)50.6%42.4%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
SimpleQA VerifiedNot measured41.0%Only GPT-5.6 Luna measured
LMArena Text: science14801433Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761399Gemini 2.5 Pro
LMArena Text: legal and government14801446Gemini 2.5 Pro
LMArena Text: business and finance14391439Gemini 2.5 Pro
FACTS Benchmark Suite61.5%35.0%Gemini 2.5 Pro
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index15
Web design benchmarks for Gemini 2.5 Pro and GPT-5.6 Luna
BenchmarkGemini 2.5 ProGPT-5.6 LunaLeader
Design Arena: websites11671255GPT-5.6 Luna
Design Arena: UI components11371248GPT-5.6 Luna
Design Arena: game dev11111194GPT-5.6 Luna
Design Arena: data viz12221211Gemini 2.5 Pro
Design Arena: 3D10801121GPT-5.6 Luna
Design Arena: all code categories11521231GPT-5.6 Luna
Design Arena: SVGNot measured1194Only GPT-5.6 Luna measured
Design Arena: ASCII artNot measured1142Only GPT-5.6 Luna measured
LiveBench designNot measured76.0%Only GPT-5.6 Luna measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index218
General benchmarks for Gemini 2.5 Pro and GPT-5.6 Luna
BenchmarkGemini 2.5 ProGPT-5.6 LunaLeader
LiveBench data analysisNot measured78.0%Only GPT-5.6 Luna measured
Public Benefits Bench (Vals AI)Not measured61.2%Only GPT-5.6 Luna measured
SAGE (Vals AI)41.9%44.2%GPT-5.6 Luna
MedScribe (Vals AI)73.5%84.4%GPT-5.6 Luna
Vals Multimodal IndexNot measured69.1%Only GPT-5.6 Luna measured
IFBench48.7%Not measuredOnly Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)69.0%83.7%GPT-5.6 Luna
DTBench82.4%89.1%GPT-5.6 Luna
LMCA34.8%48.5%GPT-5.6 Luna
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
Surface Evolver BenchNot measured61.9%Only GPT-5.6 Luna measured
Furniture assemblyNot measured42.5%Only GPT-5.6 Luna measured
LMArena Text14581431Gemini 2.5 Pro
LMArena Text: instruction following14371437GPT-5.6 Luna
LMArena Text: creative writing14541396Gemini 2.5 Pro
LMArena Vision12631257Gemini 2.5 Pro
LMArena Text: English14581441Gemini 2.5 Pro
LMArena Text: non-English14521417Gemini 2.5 Pro
LMArena Text: Chinese15071470Gemini 2.5 Pro
LMArena Text: German14871455Gemini 2.5 Pro
LMArena Text: Japanese14611415Gemini 2.5 Pro
LMArena Text: Korean14341415Gemini 2.5 Pro
LMArena Text: French14731458Gemini 2.5 Pro
LMArena Text: Spanish14741446Gemini 2.5 Pro
LMArena Text: Russian14611427Gemini 2.5 Pro
LMArena Text: Polish14791405Gemini 2.5 Pro
LMArena Text: multi-turn14531434Gemini 2.5 Pro
LMArena Text: longer queries14491436Gemini 2.5 Pro
LMArena Text: writing and language14541419Gemini 2.5 Pro
LMArena Text: entertainment and media14411402Gemini 2.5 Pro
LMArena Vision: English12611263GPT-5.6 Luna
LMArena Vision: Chinese13001294Gemini 2.5 Pro
LMArena Vision: reading text12701264Gemini 2.5 Pro
LMArena Vision: humor12621190Gemini 2.5 Pro
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing12651257Gemini 2.5 Pro
LMArena Document14211457GPT-5.6 Luna
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and GPT-5.6 Luna
BenchmarkGemini 2.5 ProGPT-5.6 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 2.5 Pro$0.0063Fits in one request
GPT-5.6 Luna$0.0008Fits in one request

GPT-5.6 Luna costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
GPT-5.6 Luna$0.014Fits in one request

GPT-5.6 Luna costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
GPT-5.6 Luna$0.052Fits 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 Gemini 2.5 Pro and GPT-5.6 Luna
SpecificationGoogle Gemini 2.5 ProOpenAI GPT-5.6 Luna
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025July 9, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$0.20
Output $/Mtok$10.00$1.20
Coding index19.158.0
Independent measurements behind it36
Cost per solved task$0.64$0.04
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than GPT-5.6 Luna for coding?

Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for work measured by LMArena Text: hard prompts or LMArena Vision: diagrams, where it leads.

Which is cheaper, Gemini 2.5 Pro or GPT-5.6 Luna?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; GPT-5.6 Luna costs $0.20 and $1.20. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and GPT-5.6 Luna $0.04.

Which has the bigger context window, Gemini 2.5 Pro or GPT-5.6 Luna?

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

How many benchmarks is the Gemini 2.5 Pro vs GPT-5.6 Luna comparison based on?

73 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and GPT-5.6 Luna's on 6. Where only one model has a result, the page says so instead of naming a winner.

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