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GPT-5.4 Mini vs MiniMax M2.5

MiniMax M2.5 leads GPT-5.4 Mini on coding, 37.2 to 35.8 on the Vibe Coding Index, and MiniMax M2.5 costs 3.8x less per output token ($1.20 vs $4.50 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Replace GPT-5.4 Mini Replace MiniMax M2.5
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
48
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
4
vs boards won of 53 shared, 1 tied

GPT-5.4 Mini or MiniMax M2.5: which to pick

GPT-5.4 Mini and MiniMax M2.5 are level for coding, 35.8 against 37.2 on the Vibe Coding Index, so price and context decide.

Pick GPT-5.4 Mini for a larger context window (400K against 205K tokens) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads. Pick MiniMax M2.5 for output tokens 3.8x cheaper ($1.20 vs $4.50 per million) and a lower cost per solved task ($0.62 against $0.70).

Model AGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
53
GPT-5.4 Mini only
36
MiniMax M2.5 only
15
Like-for-like categories
7 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-5.4 Mini 35.8 from 5 benchmarks, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Agentic work, 12.0 points apart on average over 1 shared benchmark.
Widest single gap
LMArena Text: Japanese: GPT-5.4 Mini 1375 against MiniMax M2.5 1171, 33.9 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against MiniMax M2.5 $1.20 per million output tokens, 3.8x apart.
Context window
GPT-5.4 Mini takes 400K tokens, MiniMax M2.5 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 M2.5Ties
Coding91
Intelligence20
Agentic work01
Reasoning711 tie
Math40
Knowledge71
General190
All shared boards4841 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index91
Coding benchmarks for GPT-5.4 Mini and MiniMax M2.5
BenchmarkGPT-5.4 MiniMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDev13971386GPT-5.4 Mini
AA Coding Index56.1Not measuredOnly GPT-5.4 Mini measured
LiveCodeBench (Vals AI)81.5%79.2%GPT-5.4 Mini
SWE-bench Verified (Vals AI)73.0%74.2%MiniMax M2.5
Terminal-Bench 4 (Vals AI)2.5%Not measuredOnly GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)48.0%14.8%GPT-5.4 Mini
Code migration (Vals AI)12.9%Not measuredOnly GPT-5.4 Mini measured
ProgramBench (Vals AI)0.0%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly GPT-5.4 Mini measured
SciCode52.1%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)52.3%34.8%GPT-5.4 Mini
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%Not measuredOnly GPT-5.4 Mini measured
ALE-Bench1188.6618.2GPT-5.4 Mini
LMArena Text: coding14381380GPT-5.4 Mini
LMArena Text: software and IT14361383GPT-5.4 Mini
LMArena WebDev: React13861374GPT-5.4 Mini
LMArena WebDev: HTML14191414GPT-5.4 Mini
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-5.4 Mini and MiniMax M2.5
BenchmarkGPT-5.4 MiniMiniMax M2.5Leader
AA Intelligence Index24.122.8GPT-5.4 Mini
Epoch Capabilities Index148.7146.6GPT-5.4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.4 Mini and MiniMax M2.5
BenchmarkGPT-5.4 MiniMiniMax M2.5Leader
AA Agentic Index17.9Not measuredOnly GPT-5.4 Mini measured
Finance Agent (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)8.8%Not measuredOnly GPT-5.4 Mini measured
Legal Research Bench (Vals AI)12.5%Not measuredOnly GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
τ²-Bench Telecom83.3%95.3%MiniMax M2.5
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
Reasoning benchmarks for GPT-5.4 Mini and MiniMax M2.5
BenchmarkGPT-5.4 MiniMiniMax M2.5Leader
GPQA Diamond83.1%82.1%GPT-5.4 Mini
MMMU Pro (Vals AI)79.3%Not measuredOnly GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)87.5%84.8%GPT-5.4 Mini
Humanity's Last Exam (Artificial Analysis run)28.1%20.5%GPT-5.4 Mini
GPQA Diamond (Epoch AI run)86.9%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI63.7%63.7%Tie
ARC-AGI-218.9%4.9%GPT-5.4 Mini
Chess puzzles23.0%Not measuredOnly GPT-5.4 Mini measured
Mystery game puzzles11.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts14241372GPT-5.4 Mini
LMArena Text: expert14351378GPT-5.4 Mini
LMArena Text: hard prompts in English14201384GPT-5.4 Mini
LMArena Vision: diagrams1266Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: homework1285Not measuredOnly GPT-5.4 Mini measured
Kagi LLM Benchmark37.9%55.2%MiniMax M2.5
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GPT-5.4 Mini and MiniMax M2.5
BenchmarkGPT-5.4 MiniMiniMax M2.5Leader
AIME95.6%88.8%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%4.0%GPT-5.4 Mini
LMArena Text: math14181378GPT-5.4 Mini
LMArena Text: mathematical work14291378GPT-5.4 Mini
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index71
Knowledge benchmarks for GPT-5.4 Mini and MiniMax M2.5
BenchmarkGPT-5.4 MiniMiniMax M2.5Leader
MMLU Pro84.5%80.1%GPT-5.4 Mini
LegalBench (Vals AI)Not measured80.0%Only MiniMax M2.5 measured
CaseLaw (Vals AI)51.7%53.5%MiniMax M2.5
CorpFin (Vals AI)60.9%59.6%GPT-5.4 Mini
TaxEval (Vals AI)71.2%68.2%GPT-5.4 Mini
MortgageTax (Vals AI)63.5%Not measuredOnly GPT-5.4 Mini measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
SimpleQA Verified29.4%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: science14171369GPT-5.4 Mini
LMArena Text: medicine and healthcare13951357GPT-5.4 Mini
LMArena Text: legal and government14141366GPT-5.4 Mini
LMArena Text: business and finance14181356GPT-5.4 Mini
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GPT-5.4 Mini and MiniMax M2.5
BenchmarkGPT-5.4 MiniMiniMax M2.5Leader
Design Arena: websitesNot measured1222Only MiniMax M2.5 measured
Design Arena: UI componentsNot measured1173Only MiniMax M2.5 measured
Design Arena: game devNot measured1176Only MiniMax M2.5 measured
Design Arena: data vizNot measured1172Only MiniMax M2.5 measured
Design Arena: 3DNot measured1170Only MiniMax M2.5 measured
Design Arena: all code categoriesNot measured1207Only MiniMax M2.5 measured
Design Arena: SVGNot measured1150Only MiniMax M2.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for GPT-5.4 Mini and MiniMax M2.5
BenchmarkGPT-5.4 MiniMiniMax M2.5Leader
SAGE (Vals AI)50.8%Not measuredOnly GPT-5.4 Mini measured
Vals Multimodal Index54.2%Not measuredOnly GPT-5.4 Mini measured
IFBench73.3%71.6%GPT-5.4 Mini
Long context reasoning (AA-LCR)77.0%73.3%GPT-5.4 Mini
DTBench80.0%Not measuredOnly GPT-5.4 Mini measured
LMCA40.8%Not measuredOnly GPT-5.4 Mini measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text14121359GPT-5.4 Mini
LMArena Text: instruction following14051353GPT-5.4 Mini
LMArena Text: creative writing13701331GPT-5.4 Mini
LMArena Vision1245Not measuredOnly GPT-5.4 Mini measured
LMArena Text: English14121380GPT-5.4 Mini
LMArena Text: non-English14051338GPT-5.4 Mini
LMArena Text: Chinese14461393GPT-5.4 Mini
LMArena Text: German14081361GPT-5.4 Mini
LMArena Text: Japanese13751171GPT-5.4 Mini
LMArena Text: Korean13701233GPT-5.4 Mini
LMArena Text: French14411363GPT-5.4 Mini
LMArena Text: Spanish14051353GPT-5.4 Mini
LMArena Text: Russian14171359GPT-5.4 Mini
LMArena Text: Polish14151334GPT-5.4 Mini
LMArena Text: multi-turn14291364GPT-5.4 Mini
LMArena Text: longer queries14081366GPT-5.4 Mini
LMArena Text: writing and language13931345GPT-5.4 Mini
LMArena Text: entertainment and media13731329GPT-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 M2.5
BenchmarkGPT-5.4 MiniMiniMax M2.5Leader
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 M2.5$0.0009Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
MiniMax M2.5$0.019Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
MiniMax M2.5$0.072Exceeds the context window

MiniMax M2.5 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 M2.5
SpecificationOpenAI GPT-5.4 MiniMiniMax M2.5
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026February 12, 2026
Context window400K205K
Input $/Mtok$0.75$0.30
Output $/Mtok$4.50$1.20
Coding index35.837.2
Independent measurements behind it53
Cost per solved task$0.70$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than MiniMax M2.5 for coding?

GPT-5.4 Mini and MiniMax M2.5 are level for coding, 35.8 against 37.2 on the Vibe Coding Index, so price and context decide. Pick GPT-5.4 Mini for a larger context window (400K against 205K tokens) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads. Pick MiniMax M2.5 for output tokens 3.8x cheaper ($1.20 vs $4.50 per million) and a lower cost per solved task ($0.62 against $0.70).

Which is cheaper, GPT-5.4 Mini or MiniMax M2.5?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and MiniMax M2.5 $0.62.

Which has the bigger context window, GPT-5.4 Mini or MiniMax M2.5?

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

How many benchmarks is the GPT-5.4 Mini vs MiniMax M2.5 comparison based on?

53 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 independent benchmarks and MiniMax M2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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