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GPT-5.6 Luna vs MiniMax M3

GPT-5.6 Luna leads MiniMax M3 on coding, 58.0 to 39.2 on the Vibe Coding Index, at about the same output price ($1.20 vs $1.20 per million). Updated October 22, 2026; 102 benchmarks have a result for both.

GPT-5.6 LunaOpenAI
Coding
58.0
Overall
61.6
Output $/M
$1.20
70
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
32
vs boards won of 102 shared

GPT-5.6 Luna or MiniMax M3: which to pick

Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 39.2 for MiniMax M3.

Pick MiniMax M3 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
102
GPT-5.6 Luna only
18
MiniMax M3 only
15
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, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Math, 19.5 points apart on average over 4 shared benchmarks.
Widest single gap
LiveBench browser: GPT-5.6 Luna 68.0% against MiniMax M3 8.0%, 60.0 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 M3 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
CategoryGPT-5.6 LunaBarsMiniMax M3Ties
Coding172
Intelligence20
Agentic work91
Reasoning122
Math40
Knowledge46
Web design36
General1915
All shared boards7032
CodingLike-for-likeSix of these boards feed the Vibe Coding Index172
Coding benchmarks for GPT-5.6 Luna and MiniMax M3
BenchmarkGPT-5.6 LunaMiniMax M3Leader
LiveBench coding73.6%70.9%GPT-5.6 Luna
LMArena WebDev15181482GPT-5.6 Luna
AA Coding Index71.458.6GPT-5.6 Luna
LiveCodeBench (Vals AI)Not measured82.2%Only MiniMax M3 measured
SWE-bench Verified (Vals AI)93.0%75.0%GPT-5.6 Luna
Terminal-Bench 4 (Vals AI)11.6%1.0%GPT-5.6 Luna
Vibe Code Bench (Vals AI)77.1%47.6%GPT-5.6 Luna
Code migration (Vals AI)44.5%19.9%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%53.6%GPT-5.6 Luna
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
Vibe Code Bench 1-100 (Vals AI)22.6%9.2%GPT-5.6 Luna
SkillsBench (Vals AI)60.5%51.5%GPT-5.6 Luna
CyberBench (Vals AI)73.6%65.0%GPT-5.6 Luna
SciCode53.6%47.1%GPT-5.6 Luna
Terminal-Bench Hard (Artificial Analysis run)Not measured42.4%Only MiniMax M3 measured
FrontierCode39.8%14.7%GPT-5.6 Luna
WeirdML60.9%Not measuredOnly GPT-5.6 Luna measured
ALE-Bench1667.4640.0GPT-5.6 Luna
LMArena Text: coding14661470MiniMax M3
LMArena Text: software and IT14631466MiniMax M3
LMArena WebDev: React15081478GPT-5.6 Luna
LMArena WebDev: HTML15201455GPT-5.6 Luna
LMArena WebDev: from an image15171470GPT-5.6 Luna
SciCode6.2%Not measuredOnly GPT-5.6 Luna measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.6 Luna and MiniMax M3
BenchmarkGPT-5.6 LunaMiniMax M3Leader
AA Intelligence Index37.329.2GPT-5.6 Luna
Epoch Capabilities Index156.5146.9GPT-5.6 Luna
Agentic workLike-for-likePublic boards, shown as published, kept out of the index91
Agentic work benchmarks for GPT-5.6 Luna and MiniMax M3
BenchmarkGPT-5.6 LunaMiniMax M3Leader
AA Agentic Index42.129.5GPT-5.6 Luna
Design Arena: agents building web appsNot measured1200Only MiniMax M3 measured
Design Arena: agents building full-stack appsNot measured1197Only MiniMax M3 measured
Design Arena: agents building mobile appsNot measured1169Only MiniMax M3 measured
Design Arena: agents building Android appsNot measured1158Only MiniMax M3 measured
Design Arena: agents building gamesNot measured1159Only MiniMax M3 measured
Design Arena: HTML slidesNot measured1120Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1178Only MiniMax M3 measured
Design Arena: spreadsheetsNot measured1042Only MiniMax M3 measured
LiveBench research51.0%68.0%MiniMax M3
LiveBench browser68.0%8.0%GPT-5.6 Luna
LiveBench long agentic30.4%12.4%GPT-5.6 Luna
SREBench (Vals AI)1.5%Not measuredOnly GPT-5.6 Luna measured
Finance Agent (Vals AI)55.0%48.3%GPT-5.6 Luna
Tax Agent Bench (Vals AI)24.8%20.6%GPT-5.6 Luna
Legal Research Bench (Vals AI)36.5%29.8%GPT-5.6 Luna
Excel Modeling Benchmark (Vals AI)67.1%47.8%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 measured88.9%Only MiniMax M3 measured
APEX-Agents43.0%37.7%GPT-5.6 Luna
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
BALROG45.6%Not measuredOnly GPT-5.6 Luna measured
Vending-Bench 2$4,095$2,158GPT-5.6 Luna
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index122
Reasoning benchmarks for GPT-5.6 Luna and MiniMax M3
BenchmarkGPT-5.6 LunaMiniMax M3Leader
GPQA Diamond91.7%92.7%MiniMax M3
LiveBench reasoning85.6%74.5%GPT-5.6 Luna
MysteryMechanism (Vals AI)14.4%Not measuredOnly GPT-5.6 Luna measured
MMMU Pro (Vals AI)85.0%81.2%GPT-5.6 Luna
GPQA Diamond (Artificial Analysis run)91.1%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)39.5%39.0%GPT-5.6 Luna
GPQA Diamond (Epoch AI run)91.6%90.9%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%45.8%GPT-5.6 Luna
Chess puzzles43.0%13.0%GPT-5.6 Luna
Mystery game puzzles21.0%8.0%GPT-5.6 Luna
LMArena Text: hard prompts14511447GPT-5.6 Luna
LMArena Text: expert14781461GPT-5.6 Luna
LMArena Text: hard prompts in English14601455GPT-5.6 Luna
LMArena Vision: diagrams12731266GPT-5.6 Luna
LMArena Vision: homework12821268GPT-5.6 Luna
Kagi LLM Benchmark49.1%Not measuredOnly GPT-5.6 Luna measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GPT-5.6 Luna and MiniMax M3
BenchmarkGPT-5.6 LunaMiniMax M3Leader
OTIS Mock AIME98.3%71.1%GPT-5.6 Luna
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%18.0%GPT-5.6 Luna
LMArena Text: math14591429GPT-5.6 Luna
LMArena Text: mathematical work14701448GPT-5.6 Luna
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index46
Knowledge benchmarks for GPT-5.6 Luna and MiniMax M3
BenchmarkGPT-5.6 LunaMiniMax M3Leader
MMLU Pro86.0%84.2%GPT-5.6 Luna
LegalBench (Vals AI)84.0%85.4%MiniMax M3
CorpFin (Vals AI)64.2%68.1%MiniMax M3
TaxEval (Vals AI)76.2%72.7%GPT-5.6 Luna
MortgageTax (Vals AI)67.3%68.4%MiniMax M3
MedCode (Vals AI)42.4%46.3%MiniMax M3
SimpleQA Verified41.0%Not measuredOnly GPT-5.6 Luna measured
LMArena Text: science14331452MiniMax M3
LMArena Text: medicine and healthcare13991441MiniMax M3
LMArena Text: legal and government14461437GPT-5.6 Luna
LMArena Text: business and finance14391434GPT-5.6 Luna
FACTS Benchmark Suite35.0%Not measuredOnly GPT-5.6 Luna measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index36
Web design benchmarks for GPT-5.6 Luna and MiniMax M3
BenchmarkGPT-5.6 LunaMiniMax M3Leader
Design Arena: websites12551257MiniMax M3
Design Arena: UI components12481243GPT-5.6 Luna
Design Arena: game dev11951210MiniMax M3
Design Arena: data viz12121236MiniMax M3
Design Arena: 3D11211208MiniMax M3
Design Arena: all code categories12301246MiniMax M3
Design Arena: SVG11931160GPT-5.6 Luna
Design Arena: ASCII art11421161MiniMax M3
LiveBench design76.0%66.2%GPT-5.6 Luna
GeneralLike-for-likePublic boards, shown as published, kept out of the index1915
General benchmarks for GPT-5.6 Luna and MiniMax M3
BenchmarkGPT-5.6 LunaMiniMax M3Leader
LiveBench data analysis78.0%76.2%GPT-5.6 Luna
Public Benefits Bench (Vals AI)61.2%64.1%MiniMax M3
SAGE (Vals AI)44.2%50.6%MiniMax M3
MedScribe (Vals AI)84.4%87.3%MiniMax M3
Vals Multimodal Index69.1%60.0%GPT-5.6 Luna
IFBenchNot measured82.9%Only MiniMax M3 measured
Long context reasoning (AA-LCR)83.7%83.0%GPT-5.6 Luna
DTBench89.1%78.9%GPT-5.6 Luna
LMCA48.5%33.7%GPT-5.6 Luna
Surface Evolver Bench61.9%55.0%GPT-5.6 Luna
Furniture assembly42.5%Not measuredOnly GPT-5.6 Luna measured
LMArena Text14311433MiniMax M3
LMArena Text: instruction following14371433GPT-5.6 Luna
LMArena Text: creative writing13961404MiniMax M3
LMArena Vision12571251GPT-5.6 Luna
LMArena Text: English14411443MiniMax M3
LMArena Text: non-English14171420MiniMax M3
LMArena Text: Chinese14701466GPT-5.6 Luna
LMArena Text: German14551428GPT-5.6 Luna
LMArena Text: Japanese14151380GPT-5.6 Luna
LMArena Text: Korean14151373GPT-5.6 Luna
LMArena Text: French14581444GPT-5.6 Luna
LMArena Text: Spanish14461433GPT-5.6 Luna
LMArena Text: Russian14271426GPT-5.6 Luna
LMArena Text: Polish14051423MiniMax M3
LMArena Text: multi-turn14341443MiniMax M3
LMArena Text: longer queries14361446MiniMax M3
LMArena Text: writing and language14191419MiniMax M3
LMArena Text: entertainment and media14021403MiniMax M3
LMArena Vision: English12631263MiniMax M3
LMArena Vision: Chinese12941311MiniMax M3
LMArena Vision: reading text12641259GPT-5.6 Luna
LMArena Vision: humor11901235MiniMax M3
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writing12571234GPT-5.6 Luna
LMArena Document14571435GPT-5.6 Luna
EQ-Bench 411561150GPT-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 MiniMax M3
BenchmarkGPT-5.6 LunaMiniMax M3Leader
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 M3$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 M3$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 M3$0.072Fits 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 MiniMax M3
SpecificationOpenAI GPT-5.6 LunaMiniMax M3
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedJuly 9, 2026May 31, 2026
Context window1.05M1.05M
Input $/Mtok$0.20$0.30
Output $/Mtok$1.20$1.20
Coding index58.039.2
Independent measurements behind it66
Cost per solved task$0.04$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Luna better than MiniMax M3 for coding?

Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 39.2 for MiniMax M3. Pick MiniMax M3 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5.6 Luna or MiniMax M3?

GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5.6 Luna costs $0.04 and MiniMax M3 $0.56.

Which has the bigger context window, GPT-5.6 Luna or MiniMax M3?

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

How many benchmarks is the GPT-5.6 Luna vs MiniMax M3 comparison based on?

102 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 MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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