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GPT-5.1 vs MiniMax M2.7

GPT-5.1 leads MiniMax M2.7 on coding, 40.4 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; 62 benchmarks have a result for both.

Replace GPT-5.1 Replace MiniMax M2.7
GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
45
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
16
vs boards won of 62 shared, 1 tied

GPT-5.1 or MiniMax M2.7: which to pick

Pick GPT-5.1 for coding: it scores 40.4 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 a lower cost per solved task ($0.64 against $1.02).

Model AGPT-5.1OpenAI40.4/1003 independent benchmarks$1.02 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
62
GPT-5.1 only
39
MiniMax M2.7 only
12
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-5.1 40.4 from 3 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
General, 8.4 points apart on average over 20 shared benchmarks.
Widest single gap
LMArena Text: Japanese: GPT-5.1 1453 against MiniMax M2.7 1260, 32.2 points apart on a 0 to 100 scale.
Output price
GPT-5.1 $10.00 against MiniMax M2.7 $1.20 per million output tokens, 8.3x apart.
Context window
GPT-5.1 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-5.1BarsMiniMax M2.7Ties
Coding75
Intelligence20
Agentic work01
Reasoning321 tie
Math30
Knowledge100
Web design17
General191
All shared boards45161 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index75
Coding benchmarks for GPT-5.1 and MiniMax M2.7
BenchmarkGPT-5.1MiniMax M2.7Leader
SWE-bench Verified66.0%Not measuredOnly GPT-5.1 measured
LMArena WebDev13961399MiniMax M2.7
AA Coding Index49.452.6MiniMax M2.7
LiveCodeBench (Vals AI)86.5%79.9%GPT-5.1
SWE-bench Verified (Vals AI)69.8%73.8%MiniMax M2.7
Vibe Code Bench (Vals AI)24.6%11.9%GPT-5.1
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)86.8%Not measuredOnly GPT-5.1 measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)45.5%39.4%GPT-5.1
Terminal-Bench47.6%45.1%GPT-5.1
GSO-Bench13.7%Not measuredOnly GPT-5.1 measured
WeirdML60.8%37.0%GPT-5.1
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding14531454MiniMax M2.7
LMArena Text: software and IT14541446GPT-5.1
LMArena WebDev: React13071388MiniMax M2.7
LMArena WebDev: HTML14051401GPT-5.1
LMArena WebDev: from an image1421Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.1 and MiniMax M2.7
BenchmarkGPT-5.1MiniMax M2.7Leader
AA Intelligence Index24.722.8GPT-5.1
Epoch Capabilities Index149.8145.8GPT-5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.1 and MiniMax M2.7
BenchmarkGPT-5.1MiniMax 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 Telecom81.9%84.8%MiniMax M2.7
DeepResearch Bench42.8%Not measuredOnly GPT-5.1 measured
Vending-Bench 2$1,473Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for GPT-5.1 and MiniMax M2.7
BenchmarkGPT-5.1MiniMax M2.7Leader
GPQA Diamond86.6%86.6%Tie
MMMU Pro (Vals AI)83.2%Not measuredOnly GPT-5.1 measured
GPQA Diamond (Artificial Analysis run)87.3%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)28.5%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)87.6%Not measuredOnly GPT-5.1 measured
ARC-AGI72.8%Not measuredOnly GPT-5.1 measured
ARC-AGI-217.6%Not measuredOnly GPT-5.1 measured
SimpleBench53.2%Not measuredOnly GPT-5.1 measured
Chess puzzles42.0%Not measuredOnly GPT-5.1 measured
Mystery game puzzles19.0%Not measuredOnly GPT-5.1 measured
VPCT58.7%Not measuredOnly GPT-5.1 measured
LMArena Text: hard prompts14571422GPT-5.1
LMArena Text: expert14701443GPT-5.1
LMArena Text: hard prompts in English14621441GPT-5.1
LMArena Vision: diagrams1264Not measuredOnly GPT-5.1 measured
LMArena Vision: homework1272Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GPT-5.1 and MiniMax M2.7
BenchmarkGPT-5.1MiniMax M2.7Leader
AIME93.3%91.0%GPT-5.1
MGSM (Vals AI)93.0%Not measuredOnly GPT-5.1 measured
AA Math Index94.0Not measuredOnly GPT-5.1 measured
AIME 2025 (Artificial Analysis run)94.0%Not measuredOnly GPT-5.1 measured
OTIS Mock AIME88.6%Not measuredOnly GPT-5.1 measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
LMArena Text: math14461421GPT-5.1
LMArena Text: mathematical work14491437GPT-5.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for GPT-5.1 and MiniMax M2.7
BenchmarkGPT-5.1MiniMax M2.7Leader
MMLU Pro86.4%80.4%GPT-5.1
LegalBench (Vals AI)85.7%84.0%GPT-5.1
CaseLaw (Vals AI)73.4%60.9%GPT-5.1
CorpFin (Vals AI)63.8%61.2%GPT-5.1
TaxEval (Vals AI)74.9%66.6%GPT-5.1
MortgageTax (Vals AI)61.4%Not measuredOnly GPT-5.1 measured
MedQA (Vals AI)96.4%Not measuredOnly GPT-5.1 measured
MedCode (Vals AI)52.7%34.4%GPT-5.1
MMLU Pro (Artificial Analysis run)87.0%Not measuredOnly GPT-5.1 measured
SimpleQA Verified48.0%Not measuredOnly GPT-5.1 measured
LMArena Text: science14591416GPT-5.1
LMArena Text: medicine and healthcare14561409GPT-5.1
LMArena Text: legal and government14591403GPT-5.1
LMArena Text: business and finance14311407GPT-5.1
FACTS Benchmark Suite45.0%Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for GPT-5.1 and MiniMax M2.7
BenchmarkGPT-5.1MiniMax M2.7Leader
Design Arena: websites11871243MiniMax M2.7
Design Arena: UI components11631210MiniMax M2.7
Design Arena: game dev11781209MiniMax M2.7
Design Arena: data viz12041233MiniMax M2.7
Design Arena: 3D10601195MiniMax M2.7
Design Arena: all code categories11701233MiniMax M2.7
Design Arena: SVG11491137GPT-5.1
Design Arena: ASCII art11191136MiniMax M2.7
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for GPT-5.1 and MiniMax M2.7
BenchmarkGPT-5.1MiniMax M2.7Leader
SAGE (Vals AI)43.2%Not measuredOnly GPT-5.1 measured
MedScribe (Vals AI)88.1%79.9%GPT-5.1
IFBench72.9%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)80.0%78.3%GPT-5.1
DTBench90.1%Not measuredOnly GPT-5.1 measured
LMCA43.9%Not measuredOnly GPT-5.1 measured
CL-bench23.7%Not measuredOnly GPT-5.1 measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
CL-bench Life17.3%Not measuredOnly GPT-5.1 measured
LMArena Text14431405GPT-5.1
LMArena Text: instruction following14431405GPT-5.1
LMArena Text: creative writing14271354GPT-5.1
LMArena Vision1250Not measuredOnly GPT-5.1 measured
LMArena Text: English14511426GPT-5.1
LMArena Text: non-English14311382GPT-5.1
LMArena Text: Chinese14951442GPT-5.1
LMArena Text: German14381398GPT-5.1
LMArena Text: Japanese14531260GPT-5.1
LMArena Text: Korean14011314GPT-5.1
LMArena Text: French14501424GPT-5.1
LMArena Text: Spanish14331402GPT-5.1
LMArena Text: Russian14351383GPT-5.1
LMArena Text: Polish14401387GPT-5.1
LMArena Text: multi-turn14501412GPT-5.1
LMArena Text: longer queries14481418GPT-5.1
LMArena Text: writing and language14281376GPT-5.1
LMArena Text: entertainment and media14151360GPT-5.1
LMArena Vision: English1252Not measuredOnly GPT-5.1 measured
LMArena Vision: Chinese1270Not measuredOnly GPT-5.1 measured
LMArena Vision: reading text1255Not measuredOnly GPT-5.1 measured
LMArena Vision: humor1263Not measuredOnly GPT-5.1 measured
LMArena Vision: captioning1252Not measuredOnly GPT-5.1 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.1 measured
LMArena Vision: creative writing1266Not measuredOnly GPT-5.1 measured
LMArena Document1403Not measuredOnly GPT-5.1 measured
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-5.1 and MiniMax M2.7
BenchmarkGPT-5.1MiniMax 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-5.1$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-5.1$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-5.1$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-5.1 and MiniMax M2.7
SpecificationOpenAI GPT-5.1MiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedNovember 13, 2025March 18, 2026
Context window400K205K
Input $/Mtok$1.25$0.30
Output $/Mtok$10.00$1.20
Coding index40.436.2
Independent measurements behind it33
Cost per solved task$1.02$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1 better than MiniMax M2.7 for coding?

Pick GPT-5.1 for coding: it scores 40.4 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 a lower cost per solved task ($0.64 against $1.02).

Which is cheaper, GPT-5.1 or MiniMax M2.7?

GPT-5.1 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-5.1 costs $1.02 and MiniMax M2.7 $0.64.

Which has the bigger context window, GPT-5.1 or MiniMax M2.7?

GPT-5.1, with 400K tokens against 205K.

How many benchmarks is the GPT-5.1 vs MiniMax M2.7 comparison based on?

62 benchmarks have a result for both models as of October 22, 2026. GPT-5.1'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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