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GPT-5 vs MiniMax M3

MiniMax M3 leads GPT-5 on coding, 39.2 to 38.8 on the Vibe Coding Index, and MiniMax M3 costs 8.3x less per output token ($1.20 vs $10.00 per million). Updated October 22, 2026; 78 benchmarks have a result for both.

Replace GPT-5 Replace MiniMax M3
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
19
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
58
vs boards won of 78 shared, 1 tied

GPT-5 or MiniMax M3: which to pick

GPT-5 and MiniMax M3 are level for coding, 38.8 against 39.2 on the Vibe Coding Index, so price and context decide.

Pick GPT-5 for a lower cost per solved task ($0.39 against $0.56) and work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads. Pick MiniMax M3 for output tokens 8.3x cheaper ($1.20 vs $10.00 per million) and a larger context window (1.05M against 400K tokens).

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BMiniMax M3MiniMax39.2/1006 independent benchmarks$0.56 per solved task
Shared results
78
GPT-5 only
35
MiniMax M3 only
38
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 38.8 from 3 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Coding, 9.6 points apart on average over 10 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5 20.1% against MiniMax M3 47.6%, 27.5 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against MiniMax M3 $1.20 per million output tokens, 8.3x apart.
Context window
GPT-5 takes 400K 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-5BarsMiniMax M3Ties
Coding28
Intelligence11
Agentic work01
Reasoning58
Math121 tie
Knowledge46
Web design17
General525
All shared boards19581 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index28
Coding benchmarks for GPT-5 and MiniMax M3
BenchmarkGPT-5MiniMax M3Leader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LiveBench codingNot measured70.9%Only MiniMax M3 measured
LMArena WebDev14181482MiniMax M3
AA Coding Index37.858.6MiniMax M3
LiveCodeBench (Vals AI)85.9%82.2%GPT-5
SWE-bench Verified (Vals AI)69.0%75.0%MiniMax M3
Terminal-Bench 4 (Vals AI)Not measured1.0%Only MiniMax M3 measured
Vibe Code Bench (Vals AI)20.1%47.6%MiniMax M3
Code migration (Vals AI)Not measured19.9%Only MiniMax M3 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only MiniMax M3 measured
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured9.2%Only MiniMax M3 measured
SkillsBench (Vals AI)Not measured51.5%Only MiniMax M3 measured
CyberBench (Vals AI)Not measured65.0%Only MiniMax M3 measured
LiveCodeBench (Artificial Analysis run)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured47.1%Only MiniMax M3 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%42.4%MiniMax M3
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
FrontierCodeNot measured14.7%Only MiniMax M3 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.6640.0GPT-5
LMArena Text: coding14361470MiniMax M3
LMArena Text: software and IT14201466MiniMax M3
LMArena WebDev: ReactNot measured1478Only MiniMax M3 measured
LMArena WebDev: HTML14271455MiniMax M3
LMArena WebDev: from an imageNot measured1470Only MiniMax M3 measured
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-5 and MiniMax M3
BenchmarkGPT-5MiniMax M3Leader
AA Intelligence Index23.029.2MiniMax M3
Epoch Capabilities Index150.0146.9GPT-5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 and MiniMax M3
BenchmarkGPT-5MiniMax M3Leader
AA Agentic IndexNot measured29.5Only MiniMax M3 measured
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 measured1159Only MiniMax M3 measured
Design Arena: agents building gamesNot measured1158Only MiniMax M3 measured
Design Arena: HTML slidesNot measured1130Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1181Only MiniMax M3 measured
Design Arena: spreadsheetsNot measured1028Only MiniMax M3 measured
LiveBench researchNot measured68.0%Only MiniMax M3 measured
LiveBench browserNot measured8.0%Only MiniMax M3 measured
LiveBench long agenticNot measured12.4%Only MiniMax M3 measured
Finance Agent (Vals AI)Not measured48.3%Only MiniMax M3 measured
Tax Agent Bench (Vals AI)Not measured20.6%Only MiniMax M3 measured
Legal Research Bench (Vals AI)Not measured29.8%Only MiniMax M3 measured
Excel Modeling Benchmark (Vals AI)Not measured47.8%Only MiniMax M3 measured
τ²-Bench Telecom86.5%88.9%MiniMax M3
APEX-AgentsNot measured37.7%Only MiniMax M3 measured
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
Vending-Bench 2Not measured$2,158Only MiniMax M3 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index58
Reasoning benchmarks for GPT-5 and MiniMax M3
BenchmarkGPT-5MiniMax M3Leader
GPQA Diamond85.6%92.7%MiniMax M3
LiveBench reasoningNot measured74.5%Only MiniMax M3 measured
MMMU Pro (Vals AI)81.5%81.2%GPT-5
GPQA Diamond (Artificial Analysis run)85.4%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)28.5%39.0%MiniMax M3
GPQA Diamond (Epoch AI run)86.2%90.9%MiniMax M3
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%45.8%GPT-5
Chess puzzles36.0%13.0%GPT-5
Mystery game puzzles23.0%8.0%GPT-5
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151447MiniMax M3
LMArena Text: expert14191461MiniMax M3
LMArena Text: hard prompts in English14191455MiniMax M3
LMArena Vision: diagrams12521266MiniMax M3
LMArena Vision: homework12781268GPT-5
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for GPT-5 and MiniMax M3
BenchmarkGPT-5MiniMax M3Leader
AIME93.4%Not measuredOnly GPT-5 measured
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%71.1%GPT-5
FrontierMath, tiers 1 to 355.4%Not measuredOnly GPT-5 measured
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%18.0%Tie
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071429MiniMax M3
LMArena Text: mathematical work14051448MiniMax M3
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index46
Knowledge benchmarks for GPT-5 and MiniMax M3
BenchmarkGPT-5MiniMax M3Leader
MMLU Pro86.5%84.2%GPT-5
LegalBench (Vals AI)86.0%85.4%GPT-5
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%68.1%MiniMax M3
TaxEval (Vals AI)73.4%72.7%GPT-5
MortgageTax (Vals AI)65.5%68.4%MiniMax M3
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%46.3%GPT-5
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%Not measuredOnly GPT-5 measured
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161452MiniMax M3
LMArena Text: medicine and healthcare14131441MiniMax M3
LMArena Text: legal and government14311437MiniMax M3
LMArena Text: business and finance14001434MiniMax M3
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for GPT-5 and MiniMax M3
BenchmarkGPT-5MiniMax M3Leader
Design Arena: websites11841257MiniMax M3
Design Arena: UI components11771242MiniMax M3
Design Arena: game dev11851210MiniMax M3
Design Arena: data viz12211236MiniMax M3
Design Arena: 3D10551208MiniMax M3
Design Arena: all code categories11671247MiniMax M3
Design Arena: SVG11881161GPT-5
Design Arena: ASCII art11411161MiniMax M3
LiveBench designNot measured66.2%Only MiniMax M3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index525
General benchmarks for GPT-5 and MiniMax M3
BenchmarkGPT-5MiniMax M3Leader
LiveBench data analysisNot measured76.2%Only MiniMax M3 measured
Public Benefits Bench (Vals AI)Not measured64.1%Only MiniMax M3 measured
SAGE (Vals AI)43.7%50.6%MiniMax M3
MedScribe (Vals AI)83.7%87.3%MiniMax M3
Vals Multimodal IndexNot measured60.0%Only MiniMax M3 measured
IFBench73.1%82.9%MiniMax M3
Long context reasoning (AA-LCR)78.2%83.0%MiniMax M3
DTBench90.7%78.9%GPT-5
LMCA40.0%33.7%GPT-5
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
LMArena Text14061433MiniMax M3
LMArena Text: instruction following13881433MiniMax M3
LMArena Text: creative writing13651404MiniMax M3
LMArena Vision12321251MiniMax M3
LMArena Text: English14091443MiniMax M3
LMArena Text: non-English13971420MiniMax M3
LMArena Text: Chinese14221466MiniMax M3
LMArena Text: German14161428MiniMax M3
LMArena Text: Japanese14091380GPT-5
LMArena Text: Korean13601373MiniMax M3
LMArena Text: French14091444MiniMax M3
LMArena Text: Spanish13991433MiniMax M3
LMArena Text: Russian14071426MiniMax M3
LMArena Text: Polish14311423GPT-5
LMArena Text: multi-turn14261443MiniMax M3
LMArena Text: longer queries13991446MiniMax M3
LMArena Text: writing and language13841419MiniMax M3
LMArena Text: entertainment and media13791403MiniMax M3
LMArena Vision: English12311263MiniMax M3
LMArena Vision: Chinese12671311MiniMax M3
LMArena Vision: reading text12461259MiniMax M3
LMArena Vision: humor12191235MiniMax M3
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things12631197GPT-5
LMArena Vision: creative writing12101234MiniMax M3
LMArena DocumentNot measured1435Only MiniMax M3 measured
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 GPT-5 and MiniMax M3
BenchmarkGPT-5MiniMax 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$0.0063Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
MiniMax M3$0.072Fits in one request

MiniMax M3 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 and MiniMax M3
SpecificationOpenAI GPT-5MiniMax M3
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025May 31, 2026
Context window400K1.05M
Input $/Mtok$1.25$0.30
Output $/Mtok$10.00$1.20
Coding index38.839.2
Independent measurements behind it36
Cost per solved task$0.39$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than MiniMax M3 for coding?

GPT-5 and MiniMax M3 are level for coding, 38.8 against 39.2 on the Vibe Coding Index, so price and context decide. Pick GPT-5 for a lower cost per solved task ($0.39 against $0.56) and work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads. Pick MiniMax M3 for output tokens 8.3x cheaper ($1.20 vs $10.00 per million) and a larger context window (1.05M against 400K tokens).

Which is cheaper, GPT-5 or MiniMax M3?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5 costs $0.39 and MiniMax M3 $0.56.

Which has the bigger context window, GPT-5 or MiniMax M3?

MiniMax M3, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5 vs MiniMax M3 comparison based on?

78 benchmarks have a result for both models as of October 22, 2026. GPT-5's coding index rests on 3 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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