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GPT-5 vs MiniMax M2.7

GPT-5 leads MiniMax M2.7 on coding, 38.8 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 8.3x less per output token ($1.20 vs $10.00 per million). Updated October 22, 2026; 63 benchmarks have a result for both.

Replace GPT-5 Replace MiniMax M2.7
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
33
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
30
vs boards won of 63 shared

GPT-5 or MiniMax M2.7: which to pick

Pick GPT-5 for coding: it scores 38.8 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for output tokens 8.3x cheaper ($1.20 vs $10.00 per million) and work measured by AA Coding Index or SWE-bench Verified (Vals AI), where it leads.

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
63
GPT-5 only
50
MiniMax M2.7 only
11
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 M2.7 36.2 from 3 benchmarks.
Widest category
Coding, 7.1 points apart on average over 12 shared benchmarks.
Widest single gap
LMArena Text: Japanese: GPT-5 1409 against MiniMax M2.7 1260, 24.8 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against MiniMax M2.7 $1.20 per million output tokens, 8.3x apart.
Context window
GPT-5 takes 400K 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-5BarsMiniMax M2.7Ties
Coding75
Intelligence20
Agentic work10
Reasoning06
Math22
Knowledge73
Web design26
General128
All shared boards3330
CodingLike-for-likeSix of these boards feed the Vibe Coding Index75
Coding benchmarks for GPT-5 and MiniMax M2.7
BenchmarkGPT-5MiniMax M2.7Leader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev14181399GPT-5
AA Coding Index37.852.6MiniMax M2.7
LiveCodeBench (Vals AI)85.9%79.9%GPT-5
SWE-bench Verified (Vals AI)69.0%73.8%MiniMax M2.7
Vibe Code Bench (Vals AI)20.1%11.9%GPT-5
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%39.4%MiniMax M2.7
Terminal-Bench49.6%45.1%GPT-5
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%37.0%GPT-5
ALE-Bench807.6599.3GPT-5
LMArena Text: coding14361454MiniMax M2.7
LMArena Text: software and IT14201446MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTML14271401GPT-5
SciCode0.0%Not measuredOnly GPT-5 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 and MiniMax M2.7
BenchmarkGPT-5MiniMax M2.7Leader
AA Intelligence Index23.022.8GPT-5
Epoch Capabilities Index150.0145.8GPT-5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5 and MiniMax M2.7
BenchmarkGPT-5MiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom86.5%84.8%GPT-5
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
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GPT-5 and MiniMax M2.7
BenchmarkGPT-5MiniMax M2.7Leader
GPQA Diamond85.6%86.6%MiniMax M2.7
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)28.5%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)86.2%Not measuredOnly GPT-5 measured
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%Not measuredOnly GPT-5 measured
Chess puzzles36.0%Not measuredOnly GPT-5 measured
Mystery game puzzles23.0%Not measuredOnly GPT-5 measured
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151422MiniMax M2.7
LMArena Text: expert14191443MiniMax M2.7
LMArena Text: hard prompts in English14191441MiniMax M2.7
LMArena Vision: diagrams1252Not measuredOnly GPT-5 measured
LMArena Vision: homework1278Not measuredOnly GPT-5 measured
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GPT-5 and MiniMax M2.7
BenchmarkGPT-5MiniMax M2.7Leader
AIME93.4%91.0%GPT-5
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%Not measuredOnly GPT-5 measured
FrontierMath, tiers 1 to 355.4%Not measuredOnly GPT-5 measured
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%3.0%GPT-5
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071421MiniMax M2.7
LMArena Text: mathematical work14051437MiniMax M2.7
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
Knowledge benchmarks for GPT-5 and MiniMax M2.7
BenchmarkGPT-5MiniMax M2.7Leader
MMLU Pro86.5%80.4%GPT-5
LegalBench (Vals AI)86.0%84.0%GPT-5
CaseLaw (Vals AI)66.5%60.9%GPT-5
CorpFin (Vals AI)61.1%61.2%MiniMax M2.7
TaxEval (Vals AI)73.4%66.6%GPT-5
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-5 measured
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%34.4%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: science14161416MiniMax M2.7
LMArena Text: medicine and healthcare14131409GPT-5
LMArena Text: legal and government14311403GPT-5
LMArena Text: business and finance14001407MiniMax M2.7
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 index26
Web design benchmarks for GPT-5 and MiniMax M2.7
BenchmarkGPT-5MiniMax M2.7Leader
Design Arena: websites11841243MiniMax M2.7
Design Arena: UI components11771210MiniMax M2.7
Design Arena: game dev11851209MiniMax M2.7
Design Arena: data viz12211233MiniMax M2.7
Design Arena: 3D10551195MiniMax M2.7
Design Arena: all code categories11671233MiniMax M2.7
Design Arena: SVG11881137GPT-5
Design Arena: ASCII art11411136GPT-5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index128
General benchmarks for GPT-5 and MiniMax M2.7
BenchmarkGPT-5MiniMax M2.7Leader
SAGE (Vals AI)43.7%Not measuredOnly GPT-5 measured
MedScribe (Vals AI)83.7%79.9%GPT-5
IFBench73.1%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)78.2%78.3%MiniMax M2.7
DTBench90.7%Not measuredOnly GPT-5 measured
LMCA40.0%Not measuredOnly GPT-5 measured
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14061405GPT-5
LMArena Text: instruction following13881405MiniMax M2.7
LMArena Text: creative writing13651354GPT-5
LMArena Vision1232Not measuredOnly GPT-5 measured
LMArena Text: English14091426MiniMax M2.7
LMArena Text: non-English13971382GPT-5
LMArena Text: Chinese14221442MiniMax M2.7
LMArena Text: German14161398GPT-5
LMArena Text: Japanese14091260GPT-5
LMArena Text: Korean13601314GPT-5
LMArena Text: French14091424MiniMax M2.7
LMArena Text: Spanish13991402MiniMax M2.7
LMArena Text: Russian14071383GPT-5
LMArena Text: Polish14311387GPT-5
LMArena Text: multi-turn14261412GPT-5
LMArena Text: longer queries13991418MiniMax M2.7
LMArena Text: writing and language13841376GPT-5
LMArena Text: entertainment and media13791360GPT-5
LMArena Vision: English1231Not measuredOnly GPT-5 measured
LMArena Vision: Chinese1267Not measuredOnly GPT-5 measured
LMArena Vision: reading text1246Not measuredOnly GPT-5 measured
LMArena Vision: humor1219Not measuredOnly GPT-5 measured
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-5 measured
Neither model has a result on the other 12 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 M2.7
BenchmarkGPT-5MiniMax 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$0.0063Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
MiniMax M2.7$0.072Exceeds the context window

MiniMax M2.7 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 M2.7
SpecificationOpenAI GPT-5MiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025March 18, 2026
Context window400K205K
Input $/Mtok$1.25$0.30
Output $/Mtok$10.00$1.20
Coding index38.836.2
Independent measurements behind it33
Cost per solved task$0.39$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than MiniMax M2.7 for coding?

Pick GPT-5 for coding: it scores 38.8 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for output tokens 8.3x cheaper ($1.20 vs $10.00 per million) and work measured by AA Coding Index or SWE-bench Verified (Vals AI), where it leads.

Which is cheaper, GPT-5 or MiniMax M2.7?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5 costs $0.39 and MiniMax M2.7 $0.64.

Which has the bigger context window, GPT-5 or MiniMax M2.7?

GPT-5, with 400K tokens against 205K.

How many benchmarks is the GPT-5 vs MiniMax M2.7 comparison based on?

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