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GPT-6 Luna vs MiniMax M2.7

GPT-6 Luna leads MiniMax M2.7 on coding, 57.3 to 36.2 on the Vibe Coding Index, and GPT-6 Luna costs 2.4x less per output token ($0.50 vs $1.20 per million). Updated October 22, 2026; 56 benchmarks have a result for both.

Replace GPT-6 Luna Replace MiniMax M2.7
GPT-6 LunaOpenAI
Coding
57.3
Overall
59.7
Output $/M
$0.50
34
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
22
vs boards won of 56 shared

GPT-6 Luna or MiniMax M2.7: which to pick

Pick GPT-6 Luna for coding: it scores 57.3 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-6 LunaOpenAI57.3/1005 independent benchmarksNo cost per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
56
GPT-6 Luna only
48
MiniMax M2.7 only
18
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-6 Luna 57.3 from 5 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Coding, 23.7 points apart on average over 11 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-6 Luna 81.7% against MiniMax M2.7 11.9%, 69.7 points apart on a 0 to 100 scale.
Output price
GPT-6 Luna $0.50 against MiniMax M2.7 $1.20 per million output tokens, 2.4x apart.
Context window
GPT-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-6 LunaBarsMiniMax M2.7Ties
Coding92
Intelligence20
Agentic work40
Reasoning13
Math12
Knowledge14
Web design71
General910
All shared boards3422
CodingLike-for-likeSix of these boards feed the Vibe Coding Index92
Coding benchmarks for GPT-6 Luna and MiniMax M2.7
BenchmarkGPT-6 LunaMiniMax M2.7Leader
LiveBench coding84.5%Not measuredOnly GPT-6 Luna measured
LMArena WebDev15781399GPT-6 Luna
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Terminal-Bench 4 (Vals AI)13.6%Not measuredOnly GPT-6 Luna measured
Vibe Code Bench (Vals AI)81.7%11.9%GPT-6 Luna
Code migration (Vals AI)42.5%8.7%GPT-6 Luna
ProgramBench (Vals AI)0.5%0.0%GPT-6 Luna
IOI (Vals AI)55.6%Not measuredOnly GPT-6 Luna measured
Terminal-Bench 2.1 (Vals AI)73.0%48.7%GPT-6 Luna
SWE-bench Multimodal (Vals AI)37.5%Not measuredOnly GPT-6 Luna measured
CyberBench (Vals AI)76.3%Not measuredOnly GPT-6 Luna measured
SciCode54.6%50.1%GPT-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
FrontierCode42.4%Not measuredOnly GPT-6 Luna measured
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-Bench1576.9599.3GPT-6 Luna
LMArena Text: coding14371454MiniMax M2.7
LMArena Text: software and IT14231446MiniMax M2.7
LMArena WebDev: React15731388GPT-6 Luna
LMArena WebDev: HTML15951401GPT-6 Luna
LMArena WebDev: from an image1571Not measuredOnly GPT-6 Luna measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-6 Luna and MiniMax M2.7
BenchmarkGPT-6 LunaMiniMax M2.7Leader
AA Intelligence Index38.122.8GPT-6 Luna
Epoch Capabilities Index156.8145.8GPT-6 Luna
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for GPT-6 Luna and MiniMax M2.7
BenchmarkGPT-6 LunaMiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Design Arena: agents building web apps1191Not measuredOnly GPT-6 Luna measured
Design Arena: agents building full-stack apps1158Not measuredOnly GPT-6 Luna measured
Design Arena: agents building mobile apps1131Not measuredOnly GPT-6 Luna measured
LiveBench research43.5%Not measuredOnly GPT-6 Luna measured
LiveBench browser72.0%Not measuredOnly GPT-6 Luna measured
LiveBench long agentic48.1%Not measuredOnly GPT-6 Luna measured
SREBench (Vals AI)2.7%Not measuredOnly GPT-6 Luna measured
Finance Agent (Vals AI)49.9%27.9%GPT-6 Luna
Tax Agent Bench (Vals AI)19.9%6.9%GPT-6 Luna
Legal Research Bench (Vals AI)30.3%10.6%GPT-6 Luna
Harvey's Legal Agent Benchmark (Vals AI)4.2%Not measuredOnly GPT-6 Luna measured
Excel Modeling Benchmark (Vals AI)68.5%28.4%GPT-6 Luna
BioMysteryBench (Vals AI)61.5%Not measuredOnly GPT-6 Luna measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly GPT-6 Luna measured
Vals Science Index28.4%Not measuredOnly GPT-6 Luna measured
τ²-Bench TelecomNot measured84.8%Only MiniMax M2.7 measured
APEX-Agents44.3%Not measuredOnly GPT-6 Luna measured
SpireClimb0.0%Not measuredOnly GPT-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 index13
Reasoning benchmarks for GPT-6 Luna and MiniMax M2.7
BenchmarkGPT-6 LunaMiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
LiveBench reasoning81.8%Not measuredOnly GPT-6 Luna measured
MysteryMechanism (Vals AI)19.4%Not measuredOnly GPT-6 Luna measured
GPQA Diamond (Artificial Analysis run)Not measured87.4%Only MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)38.5%29.6%GPT-6 Luna
GPQA Diamond (Epoch AI run)90.5%Not measuredOnly GPT-6 Luna measured
ARC-AGI86.7%Not measuredOnly GPT-6 Luna measured
ARC-AGI-259.3%Not measuredOnly GPT-6 Luna measured
Chess puzzles36.0%Not measuredOnly GPT-6 Luna measured
Mystery game puzzles7.0%Not measuredOnly GPT-6 Luna measured
LMArena Text: hard prompts14101422MiniMax M2.7
LMArena Text: expert14421443MiniMax M2.7
LMArena Text: hard prompts in English14101441MiniMax M2.7
LMArena Vision: diagrams1245Not measuredOnly GPT-6 Luna measured
LMArena Vision: homework1261Not measuredOnly GPT-6 Luna measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for GPT-6 Luna and MiniMax M2.7
BenchmarkGPT-6 LunaMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
OTIS Mock AIME98.9%Not measuredOnly GPT-6 Luna measured
FrontierMath, tiers 1 to 378.9%Not measuredOnly GPT-6 Luna measured
FrontierMath, tier 456.1%Not measuredOnly GPT-6 Luna measured
ProofBench64.0%3.0%GPT-6 Luna
LMArena Text: math14091421MiniMax M2.7
LMArena Text: mathematical work14271437MiniMax M2.7
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for GPT-6 Luna and MiniMax M2.7
BenchmarkGPT-6 LunaMiniMax M2.7Leader
MMLU ProNot measured80.4%Only MiniMax M2.7 measured
LegalBench (Vals AI)Not measured84.0%Only MiniMax M2.7 measured
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)Not measured61.2%Only MiniMax M2.7 measured
TaxEval (Vals AI)Not measured66.6%Only MiniMax M2.7 measured
MedCode (Vals AI)44.7%34.4%GPT-6 Luna
SimpleQA Verified41.4%Not measuredOnly GPT-6 Luna measured
LMArena Text: science13861416MiniMax M2.7
LMArena Text: medicine and healthcare13521409MiniMax M2.7
LMArena Text: legal and government14001403MiniMax M2.7
LMArena Text: business and finance13881407MiniMax M2.7
FACTS Benchmark Suite63.3%Not measuredOnly GPT-6 Luna measured
PRBench Legal42.9%Not measuredOnly GPT-6 Luna measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index71
Web design benchmarks for GPT-6 Luna and MiniMax M2.7
BenchmarkGPT-6 LunaMiniMax M2.7Leader
Design Arena: websites12711242GPT-6 Luna
Design Arena: UI components12951207GPT-6 Luna
Design Arena: game dev12581209GPT-6 Luna
Design Arena: data viz12171233MiniMax M2.7
Design Arena: 3D12181194GPT-6 Luna
Design Arena: all code categories12701233GPT-6 Luna
Design Arena: SVG12531137GPT-6 Luna
Design Arena: ASCII art11531136GPT-6 Luna
LiveBench design82.5%Not measuredOnly GPT-6 Luna measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index910
General benchmarks for GPT-6 Luna and MiniMax M2.7
BenchmarkGPT-6 LunaMiniMax M2.7Leader
Vals Index52.3%Not measuredOnly GPT-6 Luna measured
LiveBench data analysis73.4%Not measuredOnly GPT-6 Luna measured
Public Benefits Bench (Vals AI)57.6%Not measuredOnly GPT-6 Luna measured
SAGE (Vals AI)48.1%Not measuredOnly GPT-6 Luna measured
MedScribe (Vals AI)83.7%79.9%GPT-6 Luna
IFBenchNot measured75.7%Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)83.3%78.3%GPT-6 Luna
DTBench90.1%Not measuredOnly GPT-6 Luna measured
LMCA44.5%Not measuredOnly GPT-6 Luna measured
Furniture assembly44.2%Not measuredOnly GPT-6 Luna measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text13891405MiniMax M2.7
LMArena Text: instruction following14081405GPT-6 Luna
LMArena Text: creative writing13631354GPT-6 Luna
LMArena Vision1216Not measuredOnly GPT-6 Luna measured
LMArena Text: English13931426MiniMax M2.7
LMArena Text: non-English13811382MiniMax M2.7
LMArena Text: Chinese14271442MiniMax M2.7
LMArena Text: German13761398MiniMax M2.7
LMArena Text: Japanese13691260GPT-6 Luna
LMArena Text: Korean13591314GPT-6 Luna
LMArena Text: French14081424MiniMax M2.7
LMArena Text: Spanish13911402MiniMax M2.7
LMArena Text: Russian13921383GPT-6 Luna
LMArena Text: Polish13831387MiniMax M2.7
LMArena Text: multi-turn13921412MiniMax M2.7
LMArena Text: longer queries14081418MiniMax M2.7
LMArena Text: writing and language13841376GPT-6 Luna
LMArena Text: entertainment and media13641360GPT-6 Luna
LMArena Vision: English1204Not measuredOnly GPT-6 Luna measured
LMArena Vision: Chinese1266Not measuredOnly GPT-6 Luna measured
LMArena Vision: reading text1225Not measuredOnly GPT-6 Luna measured
LMArena Vision: creative writing1205Not measuredOnly GPT-6 Luna measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6 Luna and MiniMax M2.7
BenchmarkGPT-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-6 Luna$0.0003Fits in one request
MiniMax M2.7$0.0009Fits in one request

GPT-6 Luna costs less

Repository review

50K input + 3K output tokens

GPT-6 Luna$0.0065Fits in one request
MiniMax M2.7$0.019Fits in one request

GPT-6 Luna costs less

Agent loop

200K input + 10K output tokens

GPT-6 Luna$0.025Fits in one request
MiniMax M2.7$0.072Exceeds the context window

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 GPT-6 Luna and MiniMax M2.7
SpecificationOpenAI GPT-6 LunaMiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026March 18, 2026
Context window1.05M205K
Input $/Mtok$0.10$0.30
Output $/Mtok$0.50$1.20
Coding index57.336.2
Independent measurements behind it53
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6 Luna better than MiniMax M2.7 for coding?

Pick GPT-6 Luna for coding: it scores 57.3 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-6 Luna or MiniMax M2.7?

GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, GPT-6 Luna or MiniMax M2.7?

GPT-6 Luna, with 1.05M tokens against 205K.

How many benchmarks is the GPT-6 Luna vs MiniMax M2.7 comparison based on?

56 benchmarks have a result for both models as of October 22, 2026. GPT-6 Luna's coding index rests on 5 independent benchmarks and MiniMax M2.7's on 3. 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/gpt-6-luna-vs-minimax-minimax-m2-7">LLMBenchmark.ai, GPT-6 Luna vs MiniMax M2.7</a></p>