LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

GPT-5.4 vs MiniMax M2.7

Updated October 21, 2026. 66 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 Replace MiniMax M2.7
GPT-5.4OpenAI
Coding
37.7
Overall
39.0
Output $/M
$15.00
59
MiniMax M2.7MiniMax
Coding
28.4
Overall
22.8
Output $/M
$1.20
7
vs boards won of 66 shared

Decision reading

Pick GPT-5.4 for coding: it scores 37.7 on the Vibe Coding Index against 28.4 for MiniMax M2.7.

Pick MiniMax M2.7 when output tokens cost 12.5x less, or when a solved task costs $0.64 against $1.02.

Model AGPT-5.4OpenAI37.7/1001 independent benchmark$1.02 per solved taskModel BMiniMax M2.7MiniMax28.4/1001 independent benchmark$0.64 per solved task
Shared results
66
GPT-5.4 only
43
MiniMax M2.7 only
8
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.

At a glance

Coding index
GPT-5.4 37.7 from 1 benchmark, MiniMax M2.7 28.4 from 1 benchmark.
Widest category
Math, 19.9 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.4 67.4% against MiniMax M2.7 11.9%, 55.5 points apart on a 0 to 100 scale.
Output price
GPT-5.4 $15.00 against MiniMax M2.7 $1.20 per million output tokens, 12.5x apart.
Context window
GPT-5.4 takes 1.05M 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-5.4BarsMiniMax M2.7Ties
Coding150
Intelligence20
Agentic work10
Reasoning60
Math40
Knowledge100
Web design35
General182
All shared boards597
CodingLike-for-likeFour of these boards feed the Vibe Coding Index150
Coding benchmarks for GPT-5.4 and MiniMax M2.7
BenchmarkGPT-5.4MiniMax M2.7Leader
LMArena WebDev14641399GPT-5.4
AA Coding Index71.152.6GPT-5.4
LiveCodeBench (Vals AI)84.1%79.9%GPT-5.4
SWE-bench Verified (Vals AI)78.2%73.8%GPT-5.4
Vibe Code Bench (Vals AI)67.4%11.9%GPT-5.4
Code migration (Vals AI)35.0%8.7%GPT-5.4
ProgramBench (Vals AI)0.5%0.0%GPT-5.4
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
SkillsBench (Vals AI)51.7%Not measuredOnly GPT-5.4 measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)57.6%39.4%GPT-5.4
Terminal-Bench81.8%45.1%GPT-5.4
GSO-Bench31.4%Not measuredOnly GPT-5.4 measured
WeirdML77.7%37.0%GPT-5.4
MirrorCode15.6%Not measuredOnly GPT-5.4 measured
ALE-Bench1607.0599.3GPT-5.4
LMArena Text: coding14961454GPT-5.4
LMArena Text: software and IT14911446GPT-5.4
LMArena WebDev: React14541388GPT-5.4
LMArena WebDev: HTML14781401GPT-5.4
LMArena WebDev: from an image1436Not measuredOnly GPT-5.4 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-5.4 and MiniMax M2.7
BenchmarkGPT-5.4MiniMax M2.7Leader
AA Intelligence Index39.022.8GPT-5.4
Epoch Capabilities Index157.3145.8GPT-5.4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.4 and MiniMax M2.7
BenchmarkGPT-5.4MiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Design Arena: agents building web apps1059Not measuredOnly GPT-5.4 measured
Design Arena: agents building full-stack apps1017Not measuredOnly GPT-5.4 measured
Design Arena: agents building mobile apps1087Not measuredOnly GPT-5.4 measured
Design Arena: agents building Android apps1037Not measuredOnly GPT-5.4 measured
Design Arena: agents building Godot games1135Not measuredOnly GPT-5.4 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 Telecom87.1%84.8%GPT-5.4
APEX-Agents52.4%Not measuredOnly GPT-5.4 measured
METR time horizons74.3%Not measuredOnly GPT-5.4 measured
DeepResearch Bench35.1%Not measuredOnly GPT-5.4 measured
PostTrainBench19.0%Not measuredOnly GPT-5.4 measured
Vending-Bench 2$6,144Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for GPT-5.4 and MiniMax M2.7
BenchmarkGPT-5.4MiniMax M2.7Leader
GPQA Diamond91.7%86.6%GPT-5.4
MMMU Pro (Vals AI)87.5%Not measuredOnly GPT-5.4 measured
GPQA Diamond (Artificial Analysis run)92.0%87.4%GPT-5.4
Humanity's Last Exam (Artificial Analysis run)43.7%29.6%GPT-5.4
GPQA Diamond (Epoch AI run)93.3%Not measuredOnly GPT-5.4 measured
ARC-AGI93.7%Not measuredOnly GPT-5.4 measured
ARC-AGI-274.0%Not measuredOnly GPT-5.4 measured
Chess puzzles48.0%Not measuredOnly GPT-5.4 measured
Mystery game puzzles37.0%Not measuredOnly GPT-5.4 measured
EBR-bench25.4%Not measuredOnly GPT-5.4 measured
LMArena Text: hard prompts14851422GPT-5.4
LMArena Text: expert15071443GPT-5.4
LMArena Text: hard prompts in English14791441GPT-5.4
LMArena Vision: diagrams1327Not measuredOnly GPT-5.4 measured
LMArena Vision: homework1336Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GPT-5.4 and MiniMax M2.7
BenchmarkGPT-5.4MiniMax M2.7Leader
AIME96.7%91.0%GPT-5.4
OTIS Mock AIME97.8%Not measuredOnly GPT-5.4 measured
FrontierMath, tiers 1 to 378.6%Not measuredOnly GPT-5.4 measured
FrontierMath, tier 449.0%Not measuredOnly GPT-5.4 measured
ProofBench56.0%3.0%GPT-5.4
LMArena Text: math14881421GPT-5.4
LMArena Text: mathematical work14971437GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for GPT-5.4 and MiniMax M2.7
BenchmarkGPT-5.4MiniMax M2.7Leader
MMLU Pro87.5%80.4%GPT-5.4
LegalBench (Vals AI)86.0%84.0%GPT-5.4
CaseLaw (Vals AI)63.8%60.9%GPT-5.4
CorpFin (Vals AI)65.3%61.2%GPT-5.4
TaxEval (Vals AI)74.0%66.6%GPT-5.4
MortgageTax (Vals AI)68.3%Not measuredOnly GPT-5.4 measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5.4 measured
MedCode (Vals AI)41.3%34.4%GPT-5.4
SimpleQA Verified45.1%Not measuredOnly GPT-5.4 measured
LMArena Text: science14791416GPT-5.4
LMArena Text: medicine and healthcare14581409GPT-5.4
LMArena Text: legal and government14861403GPT-5.4
LMArena Text: business and finance14741407GPT-5.4
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index35
Web design benchmarks for GPT-5.4 and MiniMax M2.7
BenchmarkGPT-5.4MiniMax M2.7Leader
Design Arena: websites11991243MiniMax M2.7
Design Arena: UI components12151210GPT-5.4
Design Arena: game dev11951210MiniMax M2.7
Design Arena: data viz11961233MiniMax M2.7
Design Arena: 3D10651195MiniMax M2.7
Design Arena: all code categories11801233MiniMax M2.7
Design Arena: SVG11411136GPT-5.4
Design Arena: ASCII art11881136GPT-5.4
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
General benchmarks for GPT-5.4 and MiniMax M2.7
BenchmarkGPT-5.4MiniMax M2.7Leader
SAGE (Vals AI)43.3%Not measuredOnly GPT-5.4 measured
MedScribe (Vals AI)77.5%79.9%MiniMax M2.7
IFBench73.9%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)82.0%78.3%GPT-5.4
DTBench94.4%Not measuredOnly GPT-5.4 measured
LMCA52.0%Not measuredOnly GPT-5.4 measured
CL-bench27.9%Not measuredOnly GPT-5.4 measured
Furniture assembly37.5%Not measuredOnly GPT-5.4 measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
CL-bench Life21.7%Not measuredOnly GPT-5.4 measured
LMArena Text14691405GPT-5.4
LMArena Text: instruction following14691405GPT-5.4
LMArena Text: creative writing14391354GPT-5.4
LMArena Vision1303Not measuredOnly GPT-5.4 measured
LMArena Text: English14671426GPT-5.4
LMArena Text: non-English14651382GPT-5.4
LMArena Text: Chinese15201442GPT-5.4
LMArena Text: German14721398GPT-5.4
LMArena Text: Japanese14851260GPT-5.4
LMArena Text: Korean14491314GPT-5.4
LMArena Text: French14931424GPT-5.4
LMArena Text: Spanish14521402GPT-5.4
LMArena Text: Russian14801383GPT-5.4
LMArena Text: Polish14721387GPT-5.4
LMArena Text: multi-turn14821412GPT-5.4
LMArena Text: longer queries14731418GPT-5.4
LMArena Text: writing and language14581376GPT-5.4
LMArena Text: entertainment and media14381360GPT-5.4
LMArena Vision: English1301Not measuredOnly GPT-5.4 measured
LMArena Vision: Chinese1354Not measuredOnly GPT-5.4 measured
LMArena Vision: reading text1312Not measuredOnly GPT-5.4 measured
LMArena Vision: humor1284Not measuredOnly GPT-5.4 measured
LMArena Vision: recognizing things1251Not measuredOnly GPT-5.4 measured
LMArena Vision: creative writing1283Not measuredOnly GPT-5.4 measured
LMArena Document1471Not measuredOnly GPT-5.4 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-5.4 and MiniMax M2.7
BenchmarkGPT-5.4MiniMax 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$0.010Fits 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$0.170Fits 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$0.650Fits 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 and MiniMax M2.7
SpecificationOpenAI GPT-5.4MiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedMarch 5, 2026March 18, 2026
Context window1.05M205K
Input $/Mtok$2.50$0.30
Output $/Mtok$15.00$1.20
Coding index37.728.4
Independent measurements behind it11
Cost per solved task$1.02$0.64
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5.4 for coding: it scores 37.7 on the Vibe Coding Index against 28.4 for MiniMax M2.7. Pick MiniMax M2.7 when output tokens cost 12.5x less, or when a solved task costs $0.64 against $1.02.

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

GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5.4 costs $1.02 and MiniMax M2.7 $0.64.

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

GPT-5.4, with 1.05M tokens against 205K.

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

66 benchmarks have a result for both models as of October 21, 2026. GPT-5.4'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.

Compare next