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GPT-4.1 Mini vs MiniMax M2.7

MiniMax M2.7 leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 22.8 to 10.2, and MiniMax M2.7 costs 1.3x less per output token ($1.20 vs $1.60 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace MiniMax M2.7
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
3
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
48
vs boards won of 51 shared

GPT-4.1 Mini or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding.

Pick GPT-4.1 Mini for a larger context window (1.05M against 205K tokens) and work measured by WeirdML or TaxEval (Vals AI), where it leads.

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
51
GPT-4.1 Mini only
35
MiniMax M2.7 only
23
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 M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 31.9 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: 3D: GPT-4.1 Mini 836 against MiniMax M2.7 1194, 44.8 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against MiniMax M2.7 $1.20 per million output tokens, 1.3x apart.
Context window
GPT-4.1 Mini 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-4.1 MiniBarsMiniMax M2.7Ties
Coding15
Intelligence02
Agentic work01
Reasoning06
Math03
Knowledge17
Web design06
General118
All shared boards348
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
Coding benchmarks for GPT-4.1 Mini and MiniMax M2.7
BenchmarkGPT-4.1 MiniMiniMax M2.7Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding Index20.252.6MiniMax M2.7
LiveCodeBench (Vals AI)58.2%79.9%MiniMax M2.7
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
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)48.3%Not measuredOnly GPT-4.1 Mini measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)7.6%39.4%MiniMax M2.7
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdML37.6%37.0%GPT-4.1 Mini
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding13671454MiniMax M2.7
LMArena Text: software and IT13601446MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1401Only MiniMax M2.7 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and MiniMax M2.7
BenchmarkGPT-4.1 MiniMiniMax M2.7Leader
AA Intelligence Index10.222.8MiniMax M2.7
Epoch Capabilities Index134.9145.8MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Mini and MiniMax M2.7
BenchmarkGPT-4.1 MiniMiniMax 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 Telecom52.9%84.8%MiniMax M2.7
Berkeley Function Calling Leaderboard (BFCL)50.4%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GPT-4.1 Mini and MiniMax M2.7
BenchmarkGPT-4.1 MiniMiniMax M2.7Leader
GPQA Diamond67.9%86.6%MiniMax M2.7
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)5.0%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)65.8%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
Chess puzzles1.0%Not measuredOnly GPT-4.1 Mini measured
Mystery game puzzles7.0%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts13491422MiniMax M2.7
LMArena Text: expert13381443MiniMax M2.7
LMArena Text: hard prompts in English13621441MiniMax M2.7
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Kagi LLM Benchmark48.6%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4.1 Mini and MiniMax M2.7
BenchmarkGPT-4.1 MiniMiniMax M2.7Leader
AIME49.4%91.0%MiniMax M2.7
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%Not measuredOnly GPT-4.1 Mini measured
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431421MiniMax M2.7
LMArena Text: mathematical work13471437MiniMax M2.7
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index17
Knowledge benchmarks for GPT-4.1 Mini and MiniMax M2.7
BenchmarkGPT-4.1 MiniMiniMax M2.7Leader
MMLU Pro77.2%80.4%MiniMax M2.7
LegalBench (Vals AI)78.0%84.0%MiniMax M2.7
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)57.9%61.2%MiniMax M2.7
TaxEval (Vals AI)71.9%66.6%GPT-4.1 Mini
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MedCode (Vals AI)Not measured34.4%Only MiniMax M2.7 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: science13281416MiniMax M2.7
LMArena Text: medicine and healthcare13241409MiniMax M2.7
LMArena Text: legal and government13431403MiniMax M2.7
LMArena Text: business and finance13221407MiniMax M2.7
Neither model has a result on the other 4 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 M2.7
BenchmarkGPT-4.1 MiniMiniMax M2.7Leader
Design Arena: websites9971242MiniMax M2.7
Design Arena: UI components9581207MiniMax M2.7
Design Arena: game dev10701209MiniMax M2.7
Design Arena: data viz10341233MiniMax M2.7
Design Arena: 3D8361194MiniMax M2.7
Design Arena: all code categories9931233MiniMax M2.7
Design Arena: SVGNot measured1137Only 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 index118
General benchmarks for GPT-4.1 Mini and MiniMax M2.7
BenchmarkGPT-4.1 MiniMiniMax M2.7Leader
MedScribe (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
IFBench38.3%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)44.0%78.3%MiniMax M2.7
DTBench68.8%Not measuredOnly GPT-4.1 Mini measured
LMCA21.1%Not measuredOnly GPT-4.1 Mini measured
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text13411405MiniMax M2.7
LMArena Text: instruction following13331405MiniMax M2.7
LMArena Text: creative writing12991354MiniMax M2.7
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English13561426MiniMax M2.7
LMArena Text: non-English13181382MiniMax M2.7
LMArena Text: Chinese13291442MiniMax M2.7
LMArena Text: German13501398MiniMax M2.7
LMArena Text: Japanese12901260GPT-4.1 Mini
LMArena Text: Korean12981314MiniMax M2.7
LMArena Text: French13581424MiniMax M2.7
LMArena Text: Spanish13191402MiniMax M2.7
LMArena Text: Russian13241383MiniMax M2.7
LMArena Text: Polish13261387MiniMax M2.7
LMArena Text: multi-turn13541412MiniMax M2.7
LMArena Text: longer queries13441418MiniMax M2.7
LMArena Text: writing and language13191376MiniMax M2.7
LMArena Text: entertainment and media13001360MiniMax M2.7
LMArena Vision: English1191Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text1188Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: humor1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing1182Not measuredOnly GPT-4.1 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-4.1 Mini and MiniMax M2.7
BenchmarkGPT-4.1 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-4.1 Mini$0.0012Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits 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-4.1 Mini and MiniMax M2.7
SpecificationOpenAI GPT-4.1 MiniMiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025March 18, 2026
Context window1.05M205K
Input $/Mtok$0.40$0.30
Output $/Mtok$1.60$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it03
Cost per solved task$1.818$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for a larger context window (1.05M against 205K tokens) and work measured by WeirdML or TaxEval (Vals AI), where it leads.

Which is cheaper, GPT-4.1 Mini or MiniMax M2.7?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and MiniMax M2.7 $0.64.

Which has the bigger context window, GPT-4.1 Mini or MiniMax M2.7?

GPT-4.1 Mini, with 1.05M tokens against 205K.

How many benchmarks is the GPT-4.1 Mini vs MiniMax M2.7 comparison based on?

51 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 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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