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GPT-5.4 Mini vs MiniMax M2.7

Updated October 21, 2026. 61 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.4 Mini Replace MiniMax M2.7
GPT-5.4 MiniOpenAI
Coding
28.2
Overall
24.1
Output $/M
$4.50
41
MiniMax M2.7MiniMax
Coding
28.4
Overall
22.8
Output $/M
$1.20
19
vs boards won of 61 shared, 1 tied

Decision reading

GPT-5.4 Mini and MiniMax M2.7 are level for coding, 28.2 against 28.4 on the Vibe Coding Index, so price and context decide.

Pick GPT-5.4 Mini when the context window is larger, 400K against 205K tokens, or when what matters is AA Coding Index or LiveCodeBench (Vals AI), where it leads. Pick MiniMax M2.7 when output tokens cost 3.8x less, or when a solved task costs $0.64 against $0.70.

Model AGPT-5.4 MiniOpenAI28.2/1001 independent benchmark$0.70 per solved taskModel BMiniMax M2.7MiniMax28.4/1001 independent benchmark$0.64 per solved task
Shared results
61
GPT-5.4 Mini only
27
MiniMax M2.7 only
13
Like-for-like categories
7 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.

At a glance

Coding index
GPT-5.4 Mini 28.2 from 1 benchmark, MiniMax M2.7 28.4 from 1 benchmark.
Widest category
Coding, 7.3 points apart on average over 16 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.4 Mini 48.0% against MiniMax M2.7 11.9%, 36.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against MiniMax M2.7 $1.20 per million output tokens, 3.8x apart.
Context window
GPT-5.4 Mini 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-5.4 MiniBarsMiniMax M2.7Ties
Coding1051 tie
Intelligence20
Agentic work51
Reasoning24
Math22
Knowledge53
General154
All shared boards41191 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index105
Coding benchmarks for GPT-5.4 Mini and MiniMax M2.7
BenchmarkGPT-5.4 MiniMiniMax M2.7Leader
LMArena WebDev13971399MiniMax M2.7
AA Coding Index56.152.6GPT-5.4 Mini
LiveCodeBench (Vals AI)81.5%79.9%GPT-5.4 Mini
SWE-bench Verified (Vals AI)73.0%73.8%MiniMax M2.7
Terminal-Bench 4 (Vals AI)2.5%Not measuredOnly GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)48.0%11.9%GPT-5.4 Mini
Code migration (Vals AI)12.9%8.7%GPT-5.4 Mini
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)54.7%48.7%GPT-5.4 Mini
SciCode52.1%50.1%GPT-5.4 Mini
Terminal-Bench Hard (Artificial Analysis run)52.3%39.4%GPT-5.4 Mini
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%37.0%GPT-5.4 Mini
ALE-Bench1188.6599.3GPT-5.4 Mini
LMArena Text: coding14381454MiniMax M2.7
LMArena Text: software and IT14361446MiniMax M2.7
LMArena WebDev: React13861388MiniMax M2.7
LMArena WebDev: HTML14191401GPT-5.4 Mini
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-5.4 Mini and MiniMax M2.7
BenchmarkGPT-5.4 MiniMiniMax M2.7Leader
AA Intelligence Index24.122.8GPT-5.4 Mini
Epoch Capabilities Index148.7145.8GPT-5.4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
Agentic work benchmarks for GPT-5.4 Mini and MiniMax M2.7
BenchmarkGPT-5.4 MiniMiniMax M2.7Leader
AA Agentic Index17.915.3GPT-5.4 Mini
Finance Agent (Vals AI)45.4%27.9%GPT-5.4 Mini
Tax Agent Bench (Vals AI)8.8%6.9%GPT-5.4 Mini
Legal Research Bench (Vals AI)12.5%10.6%GPT-5.4 Mini
Excel Modeling Benchmark (Vals AI)45.4%28.4%GPT-5.4 Mini
τ²-Bench Telecom83.3%84.8%MiniMax M2.7
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for GPT-5.4 Mini and MiniMax M2.7
BenchmarkGPT-5.4 MiniMiniMax M2.7Leader
GPQA Diamond83.1%86.6%MiniMax M2.7
MMMU Pro (Vals AI)79.3%Not measuredOnly GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)87.5%87.4%GPT-5.4 Mini
Humanity's Last Exam (Artificial Analysis run)28.1%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)86.9%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI63.7%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI-218.9%Not measuredOnly GPT-5.4 Mini measured
Chess puzzles23.0%Not measuredOnly GPT-5.4 Mini measured
Mystery game puzzles11.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts14241422GPT-5.4 Mini
LMArena Text: expert14351443MiniMax M2.7
LMArena Text: hard prompts in English14201441MiniMax M2.7
LMArena Vision: diagrams1266Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: homework1285Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GPT-5.4 Mini and MiniMax M2.7
BenchmarkGPT-5.4 MiniMiniMax M2.7Leader
AIME95.6%91.0%GPT-5.4 Mini
OTIS Mock AIME88.9%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tiers 1 to 351.2%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tier 49.8%Not measuredOnly GPT-5.4 Mini measured
ProofBench21.0%3.0%GPT-5.4 Mini
LMArena Text: math14181421MiniMax M2.7
LMArena Text: mathematical work14291437MiniMax M2.7
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index53
Knowledge benchmarks for GPT-5.4 Mini and MiniMax M2.7
BenchmarkGPT-5.4 MiniMiniMax M2.7Leader
MMLU Pro84.5%80.4%GPT-5.4 Mini
LegalBench (Vals AI)Not measured84.0%Only MiniMax M2.7 measured
CaseLaw (Vals AI)51.7%60.9%MiniMax M2.7
CorpFin (Vals AI)60.9%61.2%MiniMax M2.7
TaxEval (Vals AI)71.2%66.6%GPT-5.4 Mini
MortgageTax (Vals AI)63.5%Not measuredOnly GPT-5.4 Mini measured
MedCode (Vals AI)Not measured34.4%Only MiniMax M2.7 measured
SimpleQA Verified29.4%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: science14171416GPT-5.4 Mini
LMArena Text: medicine and healthcare13951409MiniMax M2.7
LMArena Text: legal and government14141403GPT-5.4 Mini
LMArena Text: business and finance14181407GPT-5.4 Mini
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 Mini and MiniMax M2.7
BenchmarkGPT-5.4 MiniMiniMax M2.7Leader
Design Arena: websitesNot measured1243Only MiniMax M2.7 measured
Design Arena: UI componentsNot measured1210Only MiniMax M2.7 measured
Design Arena: game devNot measured1210Only MiniMax M2.7 measured
Design Arena: data vizNot measured1233Only MiniMax M2.7 measured
Design Arena: 3DNot measured1195Only MiniMax M2.7 measured
Design Arena: all code categoriesNot measured1233Only MiniMax M2.7 measured
Design Arena: SVGNot measured1136Only MiniMax M2.7 measured
Design Arena: ASCII artNot measured1136Only MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index154
General benchmarks for GPT-5.4 Mini and MiniMax M2.7
BenchmarkGPT-5.4 MiniMiniMax M2.7Leader
SAGE (Vals AI)50.8%Not measuredOnly GPT-5.4 Mini measured
MedScribe (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
Vals Multimodal Index54.2%Not measuredOnly GPT-5.4 Mini measured
IFBench73.3%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)77.0%78.3%MiniMax M2.7
DTBench80.0%Not measuredOnly GPT-5.4 Mini measured
LMCA40.8%Not measuredOnly GPT-5.4 Mini measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14121405GPT-5.4 Mini
LMArena Text: instruction following14051405GPT-5.4 Mini
LMArena Text: creative writing13701354GPT-5.4 Mini
LMArena Vision1245Not measuredOnly GPT-5.4 Mini measured
LMArena Text: English14121426MiniMax M2.7
LMArena Text: non-English14051382GPT-5.4 Mini
LMArena Text: Chinese14461442GPT-5.4 Mini
LMArena Text: German14081398GPT-5.4 Mini
LMArena Text: Japanese13751260GPT-5.4 Mini
LMArena Text: Korean13701314GPT-5.4 Mini
LMArena Text: French14411424GPT-5.4 Mini
LMArena Text: Spanish14051402GPT-5.4 Mini
LMArena Text: Russian14171383GPT-5.4 Mini
LMArena Text: Polish14151387GPT-5.4 Mini
LMArena Text: multi-turn14291412GPT-5.4 Mini
LMArena Text: longer queries14081418MiniMax M2.7
LMArena Text: writing and language13931376GPT-5.4 Mini
LMArena Text: entertainment and media13731360GPT-5.4 Mini
LMArena Vision: English1244Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: Chinese1286Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: reading text1253Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: humor1235Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: creative writing1222Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Mini and MiniMax M2.7
BenchmarkGPT-5.4 MiniMiniMax 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-5.4 Mini$0.0030Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits 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-5.4 Mini and MiniMax M2.7
SpecificationOpenAI GPT-5.4 MiniMiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026March 18, 2026
Context window400K205K
Input $/Mtok$0.75$0.30
Output $/Mtok$4.50$1.20
Coding index28.228.4
Independent measurements behind it11
Cost per solved task$0.70$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than MiniMax M2.7 for coding?

GPT-5.4 Mini and MiniMax M2.7 are level for coding, 28.2 against 28.4 on the Vibe Coding Index, so price and context decide. Pick GPT-5.4 Mini when the context window is larger, 400K against 205K tokens, or when what matters is AA Coding Index or LiveCodeBench (Vals AI), where it leads. Pick MiniMax M2.7 when output tokens cost 3.8x less, or when a solved task costs $0.64 against $0.70.

Which is cheaper, GPT-5.4 Mini or MiniMax M2.7?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and MiniMax M2.7 $0.64.

Which has the bigger context window, GPT-5.4 Mini or MiniMax M2.7?

GPT-5.4 Mini, with 400K tokens against 205K.

How many benchmarks is the GPT-5.4 Mini vs MiniMax M2.7 comparison based on?

61 benchmarks have a result for both models as of October 21, 2026. GPT-5.4 Mini's coding index rests on 1 independent benchmark and MiniMax M2.7's on 1. Where only one model has a result, the page says so instead of naming a winner.

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