GPT-5.6 Luna vs MiniMax M2.5

Updated October 21, 2026. 55 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 M2.5

GPT-5.6 LunaOpenAI

Coding: 61.5
Overall: 37.3
Output $/M: $1.20

MiniMax M2.5MiniMax

Coding: 59.4
Overall: 22.8
Output $/M: $0.95

vs boards won of 55 shared

Decision reading

Pick GPT-5.6 Luna for coding: it scores 61.5 on the Vibe Coding Index against 59.4 for MiniMax M2.5.

Pick MiniMax M2.5 when output tokens cost 1.3x less, or when the benchmark that matters is Design Arena: 3D, where it leads.

Model AGPT-5.6 LunaOpenAI61.5/1002 independent benchmarks$0.04 per solved task Model BMiniMax M2.5MiniMax59.4/1002 independent benchmarks$0.62 per solved task

556112

Shared results: 55
GPT-5.6 Luna only: 61
MiniMax M2.5 only: 12
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.

Coding
Vibe Coding Index, four public coding benchmarks
GPT-5.6 Luna
GPT-5.6 Luna scores 61.5 against 59.4.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-5.6 Luna
GPT-5.6 Luna leads, 37.3 against 22.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.6 Luna has a AA Agentic Index result, 42.1.
Directional only
Reasoning
GPQA Diamond
GPT-5.6 Luna
GPT-5.6 Luna leads, 91.7% against 82.1%.
Same board, both measured
Math
AIME
No call
Only MiniMax M2.5 has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
GPT-5.6 Luna
GPT-5.6 Luna leads, 86.0% against 80.1%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.6 Luna
GPT-5.6 Luna leads, 1256 against 1222.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Luna
GPT-5.6 Luna takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.5
GPT-5.6 Luna $0.0008, MiniMax M2.5 $0.0007 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.6 Luna
GPT-5.6 Luna $0.04, MiniMax M2.5 $0.62.
Published attempt cost and pass rate

At a glance

Coding index: GPT-5.6 Luna 61.5 from 2 benchmarks, MiniMax M2.5 59.4 from 2 benchmarks.
Widest category: Math, 28.3 points apart on average over 3 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): GPT-5.6 Luna 77.1% against MiniMax M2.5 14.8%, 62.2 points apart on a 0 to 100 scale.
Output price: GPT-5.6 Luna $1.20 against MiniMax M2.5 $0.95 per million output tokens, 1.3x apart.
Context window: GPT-5.6 Luna takes 1.05M tokens, MiniMax M2.5 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
Category	GPT-5.6 Luna	MiniMax M2.5
Coding	8	0
Intelligence	2	0
Agentic work	1	0
Reasoning	8	0
Math	3	0
Knowledge	8	0
Web design	6	1
General	18	0
All shared boards	54	1

CodingLike-for-likeFour of these boards feed the Vibe Coding Index80

Coding benchmarks for GPT-5.6 Luna and MiniMax M2.5
Benchmark	GPT-5.6 Luna	MiniMax M2.5	Leader
SWE-bench Verified	Not measured	75.8%	Only MiniMax M2.5 measured
SWE-bench Multilingual	Not measured	68.3%	Only MiniMax M2.5 measured
LiveBench coding	73.6%	Not measured	Only GPT-5.6 Luna measured
LMArena WebDev	1518	1386	GPT-5.6 Luna
AA Coding Index	71.4	Not measured	Only GPT-5.6 Luna measured
LiveCodeBench (Vals AI)	Not measured	79.2%	Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)	93.0%	74.2%	GPT-5.6 Luna
Terminal-Bench 4 (Vals AI)	11.6%	Not measured	Only GPT-5.6 Luna measured
Vibe Code Bench (Vals AI)	77.1%	14.8%	GPT-5.6 Luna
Code migration (Vals AI)	44.5%	Not measured	Only GPT-5.6 Luna measured
ProgramBench (Vals AI)	0.0%	Not measured	Only GPT-5.6 Luna measured
IOI (Vals AI)	61.8%	Not measured	Only GPT-5.6 Luna measured
Terminal-Bench 2.1 (Vals AI)	79.0%	Not measured	Only GPT-5.6 Luna measured
Vibe Code Bench 1-100 (Vals AI)	22.6%	Not measured	Only GPT-5.6 Luna measured
SkillsBench (Vals AI)	60.5%	Not measured	Only GPT-5.6 Luna measured
CyberBench (Vals AI)	73.6%	Not measured	Only GPT-5.6 Luna measured
SciCode	53.6%	Not measured	Only GPT-5.6 Luna measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	34.8%	Only MiniMax M2.5 measured
Terminal-Bench	Not measured	42.7%	Only MiniMax M2.5 measured
FrontierCode	39.8%	Not measured	Only GPT-5.6 Luna measured
WeirdML	60.9%	Not measured	Only GPT-5.6 Luna measured
ALE-Bench	1667.4	618.2	GPT-5.6 Luna
LMArena Text: coding	1466	1380	GPT-5.6 Luna
LMArena Text: software and IT	1463	1383	GPT-5.6 Luna
LMArena WebDev: React	1508	1374	GPT-5.6 Luna
LMArena WebDev: HTML	1520	1414	GPT-5.6 Luna
LMArena WebDev: from an image	1517	Not measured	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 index20

Intelligence benchmarks for GPT-5.6 Luna and MiniMax M2.5
Benchmark	GPT-5.6 Luna	MiniMax M2.5	Leader
AA Intelligence Index	37.3	22.8	GPT-5.6 Luna
Epoch Capabilities Index	156.5	146.6	GPT-5.6 Luna

Agentic workLike-for-likePublic boards, shown as published, kept out of the index10

Agentic work benchmarks for GPT-5.6 Luna and MiniMax M2.5
Benchmark	GPT-5.6 Luna	MiniMax M2.5	Leader
AA Agentic Index	42.1	Not measured	Only GPT-5.6 Luna measured
LiveBench research	51.0%	Not measured	Only GPT-5.6 Luna measured
LiveBench browser	68.0%	Not measured	Only GPT-5.6 Luna measured
LiveBench long agentic	30.4%	Not measured	Only GPT-5.6 Luna measured
SREBench (Vals AI)	1.5%	Not measured	Only GPT-5.6 Luna measured
Finance Agent (Vals AI)	55.0%	Not measured	Only GPT-5.6 Luna measured
Tax Agent Bench (Vals AI)	24.8%	Not measured	Only GPT-5.6 Luna measured
Legal Research Bench (Vals AI)	36.5%	Not measured	Only GPT-5.6 Luna measured
Excel Modeling Benchmark (Vals AI)	67.1%	Not measured	Only GPT-5.6 Luna measured
BioMysteryBench (Vals AI)	61.5%	Not measured	Only GPT-5.6 Luna measured
Terminal-Bench-Science (Vals AI)	0.0%	Not measured	Only GPT-5.6 Luna measured
Vals Science Index	25.3%	Not measured	Only GPT-5.6 Luna measured
τ²-Bench Telecom	Not measured	95.3%	Only MiniMax M2.5 measured
APEX-Agents	43.0%	Not measured	Only GPT-5.6 Luna measured
BALROG	45.6%	Not measured	Only GPT-5.6 Luna measured
Vending-Bench 2	$4,095	-$23	GPT-5.6 Luna
Neither model has a result on the other 23 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index80

Reasoning benchmarks for GPT-5.6 Luna and MiniMax M2.5
Benchmark	GPT-5.6 Luna	MiniMax M2.5	Leader
GPQA Diamond	91.7%	82.1%	GPT-5.6 Luna
LiveBench reasoning	85.6%	Not measured	Only GPT-5.6 Luna measured
MysteryMechanism (Vals AI)	14.4%	Not measured	Only GPT-5.6 Luna measured
MMMU Pro (Vals AI)	85.0%	Not measured	Only GPT-5.6 Luna measured
GPQA Diamond (Artificial Analysis run)	91.1%	84.8%	GPT-5.6 Luna
Humanity's Last Exam (Artificial Analysis run)	39.5%	20.5%	GPT-5.6 Luna
GPQA Diamond (Epoch AI run)	91.6%	Not measured	Only GPT-5.6 Luna measured
ARC-AGI	88.0%	63.7%	GPT-5.6 Luna
ARC-AGI-2	59.5%	4.9%	GPT-5.6 Luna
SimpleBench	46.8%	Not measured	Only GPT-5.6 Luna measured
Chess puzzles	43.0%	Not measured	Only GPT-5.6 Luna measured
Mystery game puzzles	21.0%	Not measured	Only GPT-5.6 Luna measured
LMArena Text: hard prompts	1451	1372	GPT-5.6 Luna
LMArena Text: expert	1478	1378	GPT-5.6 Luna
LMArena Text: hard prompts in English	1460	1384	GPT-5.6 Luna
LMArena Vision: diagrams	1273	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: homework	1282	Not measured	Only 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 M2.5
Benchmark	GPT-5.6 Luna	MiniMax M2.5	Leader
AIME	Not measured	88.8%	Only MiniMax M2.5 measured
OTIS Mock AIME	98.3%	Not measured	Only GPT-5.6 Luna measured
FrontierMath, tiers 1 to 3	82.1%	Not measured	Only GPT-5.6 Luna measured
FrontierMath, tier 4	61.0%	Not measured	Only GPT-5.6 Luna measured
ProofBench	60.0%	4.0%	GPT-5.6 Luna
LMArena Text: math	1459	1378	GPT-5.6 Luna
LMArena Text: mathematical work	1470	1378	GPT-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 index80

Knowledge benchmarks for GPT-5.6 Luna and MiniMax M2.5
Benchmark	GPT-5.6 Luna	MiniMax M2.5	Leader
MMLU Pro	86.0%	80.1%	GPT-5.6 Luna
LegalBench (Vals AI)	84.0%	80.0%	GPT-5.6 Luna
CaseLaw (Vals AI)	Not measured	53.5%	Only MiniMax M2.5 measured
CorpFin (Vals AI)	64.2%	59.6%	GPT-5.6 Luna
TaxEval (Vals AI)	76.2%	68.2%	GPT-5.6 Luna
MortgageTax (Vals AI)	67.3%	Not measured	Only GPT-5.6 Luna measured
MedQA (Vals AI)	Not measured	92.5%	Only MiniMax M2.5 measured
MedCode (Vals AI)	42.4%	Not measured	Only GPT-5.6 Luna measured
SimpleQA Verified	41.0%	Not measured	Only GPT-5.6 Luna measured
LMArena Text: science	1433	1369	GPT-5.6 Luna
LMArena Text: medicine and healthcare	1399	1357	GPT-5.6 Luna
LMArena Text: legal and government	1446	1366	GPT-5.6 Luna
LMArena Text: business and finance	1439	1356	GPT-5.6 Luna
Neither model has a result on the other 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index61

Web design benchmarks for GPT-5.6 Luna and MiniMax M2.5
Benchmark	GPT-5.6 Luna	MiniMax M2.5	Leader
Design Arena: websites	1256	1222	GPT-5.6 Luna
Design Arena: UI components	1250	1172	GPT-5.6 Luna
Design Arena: game dev	1196	1176	GPT-5.6 Luna
Design Arena: data viz	1212	1171	GPT-5.6 Luna
Design Arena: 3D	1121	1170	MiniMax M2.5
Design Arena: all code categories	1231	1207	GPT-5.6 Luna
Design Arena: SVG	1193	1147	GPT-5.6 Luna
Design Arena: ASCII art	1144	Not measured	Only GPT-5.6 Luna measured
LiveBench design	76.0%	Not measured	Only GPT-5.6 Luna measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index180

General benchmarks for GPT-5.6 Luna and MiniMax M2.5
Benchmark	GPT-5.6 Luna	MiniMax M2.5	Leader
LiveBench data analysis	78.0%	Not measured	Only GPT-5.6 Luna measured
Public Benefits Bench (Vals AI)	61.2%	Not measured	Only GPT-5.6 Luna measured
SAGE (Vals AI)	44.2%	Not measured	Only GPT-5.6 Luna measured
MedScribe (Vals AI)	84.4%	Not measured	Only GPT-5.6 Luna measured
Vals Multimodal Index	69.1%	Not measured	Only GPT-5.6 Luna measured
IFBench	Not measured	71.6%	Only MiniMax M2.5 measured
Long context reasoning (AA-LCR)	83.7%	73.3%	GPT-5.6 Luna
DTBench	89.1%	Not measured	Only GPT-5.6 Luna measured
LMCA	48.5%	Not measured	Only GPT-5.6 Luna measured
CL-bench	Not measured	11.4%	Only MiniMax M2.5 measured
Surface Evolver Bench	61.9%	Not measured	Only GPT-5.6 Luna measured
Furniture assembly	42.5%	Not measured	Only GPT-5.6 Luna measured
CL-bench Life	Not measured	6.3%	Only MiniMax M2.5 measured
LMArena Text	1431	1359	GPT-5.6 Luna
LMArena Text: instruction following	1437	1353	GPT-5.6 Luna
LMArena Text: creative writing	1396	1331	GPT-5.6 Luna
LMArena Vision	1257	Not measured	Only GPT-5.6 Luna measured
LMArena Text: English	1441	1380	GPT-5.6 Luna
LMArena Text: non-English	1417	1338	GPT-5.6 Luna
LMArena Text: Chinese	1470	1393	GPT-5.6 Luna
LMArena Text: German	1455	1361	GPT-5.6 Luna
LMArena Text: Japanese	1415	1171	GPT-5.6 Luna
LMArena Text: Korean	1415	1233	GPT-5.6 Luna
LMArena Text: French	1458	1363	GPT-5.6 Luna
LMArena Text: Spanish	1446	1353	GPT-5.6 Luna
LMArena Text: Russian	1427	1359	GPT-5.6 Luna
LMArena Text: Polish	1405	1334	GPT-5.6 Luna
LMArena Text: multi-turn	1434	1364	GPT-5.6 Luna
LMArena Text: longer queries	1436	1366	GPT-5.6 Luna
LMArena Text: writing and language	1419	1345	GPT-5.6 Luna
LMArena Text: entertainment and media	1402	1329	GPT-5.6 Luna
LMArena Vision: English	1263	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: Chinese	1294	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: reading text	1264	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: humor	1190	Not measured	Only GPT-5.6 Luna measured
LMArena Vision: creative writing	1257	Not measured	Only GPT-5.6 Luna measured
LMArena Document	1457	Not measured	Only GPT-5.6 Luna measured
Neither model has a result on the other 9 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 M2.5
Benchmark	GPT-5.6 Luna	MiniMax M2.5	Leader
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 M2.5$0.0007Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Luna$0.014Fits in one request

MiniMax M2.5$0.016Fits 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 M2.5$0.064Exceeds 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 M2.5
Specification	OpenAI GPT-5.6 Luna	MiniMax M2.5
Maker	OpenAI	MiniMax
Weights	No public weights listed	Open weights
Released	July 9, 2026	February 12, 2026
Context window	1.05M	205K
Input $/Mtok	$0.20	$0.27
Output $/Mtok	$1.20	$0.95
Coding index	61.5	59.4
Independent measurements behind it	2	2
Cost per solved task	$0.04	$0.62
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-5.6 Luna better than MiniMax M2.5 for coding?

Pick GPT-5.6 Luna for coding: it scores 61.5 on the Vibe Coding Index against 59.4 for MiniMax M2.5. Pick MiniMax M2.5 when output tokens cost 1.3x less, or when the benchmark that matters is Design Arena: 3D, where it leads.

Which is cheaper, GPT-5.6 Luna or MiniMax M2.5?

GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens; MiniMax M2.5 costs $0.27 and $0.95. Per solved SWE-bench Verified task, GPT-5.6 Luna costs $0.04 and MiniMax M2.5 $0.62.

Which has the bigger context window, GPT-5.6 Luna or MiniMax M2.5?

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

How many benchmarks is the GPT-5.6 Luna vs MiniMax M2.5 comparison based on?

55 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 M2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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Decision reading

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task