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GPT-5.6 Luna vs MiniMax M2.7

Updated October 21, 2026. 66 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.6 Luna Replace MiniMax M2.7
GPT-5.6 LunaOpenAI
Coding
61.5
Overall
37.3
Output $/M
$1.20
60
MiniMax M2.7MiniMax
Coding
28.4
Overall
22.8
Output $/M
$1.20
5
vs boards won of 66 shared, 1 tied

Decision reading

Pick GPT-5.6 Luna for coding: it scores 61.5 on the Vibe Coding Index against 28.4 for MiniMax M2.7.

Pick MiniMax M2.7 when what matters is LMArena Text: medicine and healthcare or Design Arena: game dev, where it leads.

Model AGPT-5.6 LunaOpenAI61.5/1002 independent benchmarks$0.04 per solved taskModel BMiniMax M2.7MiniMax28.4/1001 independent benchmark$0.64 per solved task
Shared results
66
GPT-5.6 Luna only
50
MiniMax M2.7 only
8
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 61.5 from 2 benchmarks, MiniMax M2.7 28.4 from 1 benchmark.
Widest category
Agentic work, 27.3 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.6 Luna 77.1% against MiniMax M2.7 11.9%, 65.1 points apart on a 0 to 100 scale.
Output price
Both cost $1.20 per million output tokens.
Context window
GPT-5.6 Luna takes 1.05M tokens, MiniMax M2.7 205K.

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 LunaBarsMiniMax M2.7Ties
Coding1301 tie
Intelligence20
Agentic work50
Reasoning60
Math30
Knowledge81
Web design44
General190
All shared boards6051 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index130
Coding benchmarks for GPT-5.6 Luna and MiniMax M2.7
BenchmarkGPT-5.6 LunaMiniMax M2.7Leader
LiveBench coding73.6%Not measuredOnly GPT-5.6 Luna measured
LMArena WebDev15181399GPT-5.6 Luna
AA Coding Index71.452.6GPT-5.6 Luna
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)93.0%73.8%GPT-5.6 Luna
Terminal-Bench 4 (Vals AI)11.6%Not measuredOnly GPT-5.6 Luna measured
Vibe Code Bench (Vals AI)77.1%11.9%GPT-5.6 Luna
Code migration (Vals AI)44.5%8.7%GPT-5.6 Luna
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)61.8%Not measuredOnly GPT-5.6 Luna measured
Terminal-Bench 2.1 (Vals AI)79.0%48.7%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%Not measuredOnly GPT-5.6 Luna measured
CyberBench (Vals AI)73.6%Not measuredOnly GPT-5.6 Luna measured
SciCode53.6%50.1%GPT-5.6 Luna
Terminal-Bench Hard (Artificial Analysis run)Not measured39.4%Only MiniMax M2.7 measured
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
FrontierCode39.8%Not measuredOnly GPT-5.6 Luna measured
WeirdML60.9%37.0%GPT-5.6 Luna
ALE-Bench1667.4599.3GPT-5.6 Luna
LMArena Text: coding14661454GPT-5.6 Luna
LMArena Text: software and IT14631446GPT-5.6 Luna
LMArena WebDev: React15081388GPT-5.6 Luna
LMArena WebDev: HTML15201401GPT-5.6 Luna
LMArena WebDev: from an image1517Not measuredOnly GPT-5.6 Luna measured
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 GPT-5.6 Luna and MiniMax M2.7
BenchmarkGPT-5.6 LunaMiniMax M2.7Leader
AA Intelligence Index37.322.8GPT-5.6 Luna
Epoch Capabilities Index156.5145.8GPT-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 MiniMax M2.7
BenchmarkGPT-5.6 LunaMiniMax M2.7Leader
AA Agentic Index42.115.3GPT-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%27.9%GPT-5.6 Luna
Tax Agent Bench (Vals AI)24.8%6.9%GPT-5.6 Luna
Legal Research Bench (Vals AI)36.5%10.6%GPT-5.6 Luna
Excel Modeling Benchmark (Vals AI)67.1%28.4%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 measured84.8%Only MiniMax M2.7 measured
APEX-Agents43.0%Not measuredOnly GPT-5.6 Luna 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 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for GPT-5.6 Luna and MiniMax M2.7
BenchmarkGPT-5.6 LunaMiniMax M2.7Leader
GPQA Diamond91.7%86.6%GPT-5.6 Luna
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%87.4%GPT-5.6 Luna
Humanity's Last Exam (Artificial Analysis run)39.5%29.6%GPT-5.6 Luna
GPQA Diamond (Epoch AI run)91.6%Not measuredOnly GPT-5.6 Luna measured
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%Not measuredOnly GPT-5.6 Luna measured
LMArena Text: hard prompts14511422GPT-5.6 Luna
LMArena Text: expert14781443GPT-5.6 Luna
LMArena Text: hard prompts in English14601441GPT-5.6 Luna
LMArena Vision: diagrams1273Not measuredOnly GPT-5.6 Luna measured
LMArena Vision: homework1282Not 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 index30
Math benchmarks for GPT-5.6 Luna and MiniMax M2.7
BenchmarkGPT-5.6 LunaMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
OTIS Mock AIME98.3%Not measuredOnly GPT-5.6 Luna measured
FrontierMath, tiers 1 to 382.1%Not measuredOnly GPT-5.6 Luna measured
FrontierMath, tier 461.0%Not measuredOnly GPT-5.6 Luna measured
ProofBench60.0%3.0%GPT-5.6 Luna
LMArena Text: math14591421GPT-5.6 Luna
LMArena Text: mathematical work14701437GPT-5.6 Luna
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
Knowledge benchmarks for GPT-5.6 Luna and MiniMax M2.7
BenchmarkGPT-5.6 LunaMiniMax M2.7Leader
MMLU Pro86.0%80.4%GPT-5.6 Luna
LegalBench (Vals AI)84.0%84.0%GPT-5.6 Luna
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)64.2%61.2%GPT-5.6 Luna
TaxEval (Vals AI)76.2%66.6%GPT-5.6 Luna
MortgageTax (Vals AI)67.3%Not measuredOnly GPT-5.6 Luna measured
MedCode (Vals AI)42.4%34.4%GPT-5.6 Luna
SimpleQA Verified41.0%Not measuredOnly GPT-5.6 Luna measured
LMArena Text: science14331416GPT-5.6 Luna
LMArena Text: medicine and healthcare13991409MiniMax M2.7
LMArena Text: legal and government14461403GPT-5.6 Luna
LMArena Text: business and finance14391407GPT-5.6 Luna
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index44
Web design benchmarks for GPT-5.6 Luna and MiniMax M2.7
BenchmarkGPT-5.6 LunaMiniMax M2.7Leader
Design Arena: websites12561243GPT-5.6 Luna
Design Arena: UI components12501210GPT-5.6 Luna
Design Arena: game dev11961210MiniMax M2.7
Design Arena: data viz12121233MiniMax M2.7
Design Arena: 3D11211195MiniMax M2.7
Design Arena: all code categories12311233MiniMax M2.7
Design Arena: SVG11931136GPT-5.6 Luna
Design Arena: ASCII art11441136GPT-5.6 Luna
LiveBench design76.0%Not measuredOnly GPT-5.6 Luna measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for GPT-5.6 Luna and MiniMax M2.7
BenchmarkGPT-5.6 LunaMiniMax M2.7Leader
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%Not measuredOnly GPT-5.6 Luna measured
MedScribe (Vals AI)84.4%79.9%GPT-5.6 Luna
Vals Multimodal Index69.1%Not measuredOnly GPT-5.6 Luna measured
IFBenchNot measured75.7%Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)83.7%78.3%GPT-5.6 Luna
DTBench89.1%Not measuredOnly GPT-5.6 Luna measured
LMCA48.5%Not measuredOnly GPT-5.6 Luna measured
Surface Evolver Bench61.9%Not measuredOnly GPT-5.6 Luna measured
Furniture assembly42.5%Not measuredOnly GPT-5.6 Luna measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14311405GPT-5.6 Luna
LMArena Text: instruction following14371405GPT-5.6 Luna
LMArena Text: creative writing13961354GPT-5.6 Luna
LMArena Vision1257Not measuredOnly GPT-5.6 Luna measured
LMArena Text: English14411426GPT-5.6 Luna
LMArena Text: non-English14171382GPT-5.6 Luna
LMArena Text: Chinese14701442GPT-5.6 Luna
LMArena Text: German14551398GPT-5.6 Luna
LMArena Text: Japanese14151260GPT-5.6 Luna
LMArena Text: Korean14151314GPT-5.6 Luna
LMArena Text: French14581424GPT-5.6 Luna
LMArena Text: Spanish14461402GPT-5.6 Luna
LMArena Text: Russian14271383GPT-5.6 Luna
LMArena Text: Polish14051387GPT-5.6 Luna
LMArena Text: multi-turn14341412GPT-5.6 Luna
LMArena Text: longer queries14361418GPT-5.6 Luna
LMArena Text: writing and language14191376GPT-5.6 Luna
LMArena Text: entertainment and media14021360GPT-5.6 Luna
LMArena Vision: English1263Not measuredOnly GPT-5.6 Luna measured
LMArena Vision: Chinese1294Not measuredOnly GPT-5.6 Luna measured
LMArena Vision: reading text1264Not measuredOnly GPT-5.6 Luna measured
LMArena Vision: humor1190Not measuredOnly GPT-5.6 Luna measured
LMArena Vision: creative writing1257Not measuredOnly GPT-5.6 Luna measured
LMArena Document1457Not measuredOnly GPT-5.6 Luna measured
Neither model has a result on the other 10 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 MiniMax M2.7
BenchmarkGPT-5.6 LunaMiniMax M2.7Leader
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
MiniMax M2.7$0.0009Fits 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
MiniMax M2.7$0.019Fits 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
MiniMax M2.7$0.072Exceeds the context window

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 MiniMax M2.7
SpecificationOpenAI GPT-5.6 LunaMiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedJuly 9, 2026March 18, 2026
Context window1.05M205K
Input $/Mtok$0.20$0.30
Output $/Mtok$1.20$1.20
Coding index61.528.4
Independent measurements behind it21
Cost per solved task$0.04$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Luna better than MiniMax M2.7 for coding?

Pick GPT-5.6 Luna for coding: it scores 61.5 on the Vibe Coding Index against 28.4 for MiniMax M2.7. Pick MiniMax M2.7 when what matters is LMArena Text: medicine and healthcare or Design Arena: game dev, where it leads.

Which is cheaper, GPT-5.6 Luna or MiniMax M2.7?

GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5.6 Luna costs $0.04 and MiniMax M2.7 $0.64.

Which has the bigger context window, GPT-5.6 Luna or MiniMax M2.7?

GPT-5.6 Luna, with 1.05M tokens against 205K.

How many benchmarks is the GPT-5.6 Luna vs MiniMax M2.7 comparison based on?

66 benchmarks have a result for both models as of October 21, 2026. GPT-5.6 Luna's coding index rests on 2 independent benchmarks and MiniMax M2.7's on 1. Where only one model has a result, the page says so instead of naming a winner.

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