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GPT-4.1 Mini vs MiniMax M3

MiniMax M3 leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 29.2 to 10.2, and MiniMax M3 costs 1.3x less per output token ($1.20 vs $1.60 per million). Updated October 22, 2026; 66 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace MiniMax M3
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
0
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
66
vs boards won of 66 shared

GPT-4.1 Mini or MiniMax M3: which to pick

Only MiniMax M3 has a coding score, 39.2 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BMiniMax M3MiniMax39.2/1006 independent benchmarks$0.56 per solved task
Shared results
66
GPT-4.1 Mini only
20
MiniMax M3 only
50
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-4.1 Mini not benchmarked, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Agentic work, 36.0 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: 3D: GPT-4.1 Mini 836 against MiniMax M3 1208, 46.5 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against MiniMax M3 $1.20 per million output tokens, 1.3x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, MiniMax M3 1.05M.

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-4.1 MiniBarsMiniMax M3Ties
Coding05
Intelligence02
Agentic work01
Reasoning012
Math03
Knowledge09
Web design06
General028
All shared boards066
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for GPT-4.1 Mini and MiniMax M3
BenchmarkGPT-4.1 MiniMiniMax M3Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
LiveBench codingNot measured70.9%Only MiniMax M3 measured
LMArena WebDevNot measured1482Only MiniMax M3 measured
AA Coding Index20.258.6MiniMax M3
LiveCodeBench (Vals AI)58.2%82.2%MiniMax M3
SWE-bench Verified (Vals AI)Not measured75.0%Only MiniMax M3 measured
Terminal-Bench 4 (Vals AI)Not measured1.0%Only MiniMax M3 measured
Vibe Code Bench (Vals AI)Not measured47.6%Only MiniMax M3 measured
Code migration (Vals AI)Not measured19.9%Only MiniMax M3 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only MiniMax M3 measured
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured9.2%Only MiniMax M3 measured
SkillsBench (Vals AI)Not measured51.5%Only MiniMax M3 measured
CyberBench (Vals AI)Not measured65.0%Only MiniMax M3 measured
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
SciCodeNot measured47.1%Only MiniMax M3 measured
Terminal-Bench Hard (Artificial Analysis run)7.6%42.4%MiniMax M3
FrontierCodeNot measured14.7%Only MiniMax M3 measured
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
ALE-BenchNot measured640.0Only MiniMax M3 measured
LMArena Text: coding13671470MiniMax M3
LMArena Text: software and IT13601466MiniMax M3
LMArena WebDev: ReactNot measured1478Only MiniMax M3 measured
LMArena WebDev: HTMLNot measured1455Only MiniMax M3 measured
LMArena WebDev: from an imageNot measured1470Only MiniMax M3 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and MiniMax M3
BenchmarkGPT-4.1 MiniMiniMax M3Leader
AA Intelligence Index10.229.2MiniMax M3
Epoch Capabilities Index134.9146.9MiniMax M3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Mini and MiniMax M3
BenchmarkGPT-4.1 MiniMiniMax M3Leader
AA Agentic IndexNot measured29.5Only MiniMax M3 measured
Design Arena: agents building web appsNot measured1200Only MiniMax M3 measured
Design Arena: agents building full-stack appsNot measured1197Only MiniMax M3 measured
Design Arena: agents building mobile appsNot measured1169Only MiniMax M3 measured
Design Arena: agents building Android appsNot measured1159Only MiniMax M3 measured
Design Arena: agents building gamesNot measured1158Only MiniMax M3 measured
Design Arena: HTML slidesNot measured1130Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1181Only MiniMax M3 measured
Design Arena: spreadsheetsNot measured1028Only MiniMax M3 measured
LiveBench researchNot measured68.0%Only MiniMax M3 measured
LiveBench browserNot measured8.0%Only MiniMax M3 measured
LiveBench long agenticNot measured12.4%Only MiniMax M3 measured
Finance Agent (Vals AI)Not measured48.3%Only MiniMax M3 measured
Tax Agent Bench (Vals AI)Not measured20.6%Only MiniMax M3 measured
Legal Research Bench (Vals AI)Not measured29.8%Only MiniMax M3 measured
Excel Modeling Benchmark (Vals AI)Not measured47.8%Only MiniMax M3 measured
τ²-Bench Telecom52.9%88.9%MiniMax M3
APEX-AgentsNot measured37.7%Only MiniMax M3 measured
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
Vending-Bench 2Not measured$2,158Only MiniMax M3 measured
Berkeley Function Calling Leaderboard (BFCL)50.4%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index012
Reasoning benchmarks for GPT-4.1 Mini and MiniMax M3
BenchmarkGPT-4.1 MiniMiniMax M3Leader
GPQA Diamond67.9%92.7%MiniMax M3
LiveBench reasoningNot measured74.5%Only MiniMax M3 measured
MMMU Pro (Vals AI)70.5%81.2%MiniMax M3
GPQA Diamond (Artificial Analysis run)66.4%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)5.0%39.0%MiniMax M3
GPQA Diamond (Epoch AI run)65.8%90.9%MiniMax M3
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
SimpleBenchNot measured45.8%Only MiniMax M3 measured
Chess puzzles1.0%13.0%MiniMax M3
Mystery game puzzles7.0%8.0%MiniMax M3
LMArena Text: hard prompts13491447MiniMax M3
LMArena Text: expert13381461MiniMax M3
LMArena Text: hard prompts in English13621455MiniMax M3
LMArena Vision: diagrams11821266MiniMax M3
LMArena Vision: homework12141268MiniMax M3
Kagi LLM Benchmark48.6%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4.1 Mini and MiniMax M3
BenchmarkGPT-4.1 MiniMiniMax M3Leader
AIME49.4%Not measuredOnly GPT-4.1 Mini measured
MATH 500 (Vals AI)88.0%Not measuredOnly GPT-4.1 Mini measured
MGSM (Vals AI)87.8%Not measuredOnly GPT-4.1 Mini measured
AA Math Index46.3Not measuredOnly GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)46.3%Not measuredOnly GPT-4.1 Mini measured
OTIS Mock AIME44.7%71.1%MiniMax M3
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
ProofBenchNot measured18.0%Only MiniMax M3 measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431429MiniMax M3
LMArena Text: mathematical work13471448MiniMax M3
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for GPT-4.1 Mini and MiniMax M3
BenchmarkGPT-4.1 MiniMiniMax M3Leader
MMLU Pro77.2%84.2%MiniMax M3
LegalBench (Vals AI)78.0%85.4%MiniMax M3
CorpFin (Vals AI)57.9%68.1%MiniMax M3
TaxEval (Vals AI)71.9%72.7%MiniMax M3
MortgageTax (Vals AI)65.5%68.4%MiniMax M3
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MedCode (Vals AI)Not measured46.3%Only MiniMax M3 measured
MMLU Pro (Artificial Analysis run)78.1%Not measuredOnly GPT-4.1 Mini measured
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281452MiniMax M3
LMArena Text: medicine and healthcare13241441MiniMax M3
LMArena Text: legal and government13431437MiniMax M3
LMArena Text: business and finance13221434MiniMax M3
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 Mini and MiniMax M3
BenchmarkGPT-4.1 MiniMiniMax M3Leader
Design Arena: websites9971257MiniMax M3
Design Arena: UI components9581242MiniMax M3
Design Arena: game dev10701210MiniMax M3
Design Arena: data viz10341236MiniMax M3
Design Arena: 3D8361208MiniMax M3
Design Arena: all code categories9931247MiniMax M3
Design Arena: SVGNot measured1161Only MiniMax M3 measured
Design Arena: ASCII artNot measured1161Only MiniMax M3 measured
LiveBench designNot measured66.2%Only MiniMax M3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index028
General benchmarks for GPT-4.1 Mini and MiniMax M3
BenchmarkGPT-4.1 MiniMiniMax M3Leader
LiveBench data analysisNot measured76.2%Only MiniMax M3 measured
Public Benefits Bench (Vals AI)Not measured64.1%Only MiniMax M3 measured
SAGE (Vals AI)Not measured50.6%Only MiniMax M3 measured
MedScribe (Vals AI)Not measured87.3%Only MiniMax M3 measured
Vals Multimodal IndexNot measured60.0%Only MiniMax M3 measured
IFBench38.3%82.9%MiniMax M3
Long context reasoning (AA-LCR)44.0%83.0%MiniMax M3
DTBench68.8%78.9%MiniMax M3
LMCA21.1%33.7%MiniMax M3
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
LMArena Text13411433MiniMax M3
LMArena Text: instruction following13331433MiniMax M3
LMArena Text: creative writing12991404MiniMax M3
LMArena Vision11811251MiniMax M3
LMArena Text: English13561443MiniMax M3
LMArena Text: non-English13181420MiniMax M3
LMArena Text: Chinese13291466MiniMax M3
LMArena Text: German13501428MiniMax M3
LMArena Text: Japanese12901380MiniMax M3
LMArena Text: Korean12981373MiniMax M3
LMArena Text: French13581444MiniMax M3
LMArena Text: Spanish13191433MiniMax M3
LMArena Text: Russian13241426MiniMax M3
LMArena Text: Polish13261423MiniMax M3
LMArena Text: multi-turn13541443MiniMax M3
LMArena Text: longer queries13441446MiniMax M3
LMArena Text: writing and language13191419MiniMax M3
LMArena Text: entertainment and media13001403MiniMax M3
LMArena Vision: English11911263MiniMax M3
LMArena Vision: Chinese11861311MiniMax M3
LMArena Vision: reading text11881259MiniMax M3
LMArena Vision: humor11821235MiniMax M3
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things11871197MiniMax M3
LMArena Vision: creative writing11821234MiniMax M3
LMArena DocumentNot measured1435Only MiniMax M3 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Mini and MiniMax M3
BenchmarkGPT-4.1 MiniMiniMax M3Leader
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-4.1 Mini$0.0012Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
MiniMax M3$0.072Fits in one request

MiniMax M3 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-4.1 Mini and MiniMax M3
SpecificationOpenAI GPT-4.1 MiniMiniMax M3
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025May 31, 2026
Context window1.05M1.05M
Input $/Mtok$0.40$0.30
Output $/Mtok$1.60$1.20
Coding indexNot benchmarked39.2
Independent measurements behind it06
Cost per solved task$1.818$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than MiniMax M3 for coding?

Only MiniMax M3 has a coding score, 39.2 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-4.1 Mini or MiniMax M3?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and MiniMax M3 $0.56.

Which has the bigger context window, GPT-4.1 Mini or MiniMax M3?

MiniMax M3, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-4.1 Mini vs MiniMax M3 comparison based on?

66 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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