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GPT-4.1 Mini vs MiniMax M2

Updated October 21, 2026. 44 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4.1 Mini Replace MiniMax M2
GPT-4.1 MiniOpenAI
Coding
28.5
Overall
10.2
Output $/M
$1.60
10
MiniMax M2MiniMax
Coding
45.3
Overall
18.6
Output $/M
$1.02
34
vs boards won of 44 shared

Decision reading

Pick MiniMax M2 for coding: it scores 45.3 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini.

Pick GPT-4.1 Mini when the context window is larger, 1.05M against 205K tokens, or when what matters is LMArena Text: expert or LMArena Text, where it leads.

Model AGPT-4.1 MiniOpenAI28.5/1002 independent benchmarks$1.818 per solved taskModel BMiniMax M2MiniMax45.3/1002 independent benchmarks$0.702 per solved task
Shared results
44
GPT-4.1 Mini only
40
MiniMax M2 only
5
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-4.1 Mini 28.5 from 2 benchmarks, MiniMax M2 45.3 from 2 benchmarks.
Widest category
Agentic work, 33.9 points apart on average over 1 shared benchmark.
Widest single gap
SWE-bench Verified: GPT-4.1 Mini 23.9% against MiniMax M2 61.0%, 37.1 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against MiniMax M2 $1.02 per million output tokens, 1.6x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, MiniMax M2 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 M2Ties
Coding05
Intelligence01
Agentic work01
Reasoning14
Math04
Knowledge05
Web design06
General98
All shared boards1034
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for GPT-4.1 Mini and MiniMax M2
BenchmarkGPT-4.1 MiniMiniMax M2Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%61.0%MiniMax M2
LMArena WebDevNot measured1297Only MiniMax M2 measured
AA Coding Index20.2Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)48.3%82.6%MiniMax M2
Terminal-Bench Hard (Artificial Analysis run)7.6%25.8%MiniMax M2
Terminal-BenchNot measured30.0%Only MiniMax M2 measured
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: coding13671371MiniMax M2
LMArena Text: software and IT13601373MiniMax M2
LMArena WebDev: HTMLNot measured1306Only MiniMax M2 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 Mini and MiniMax M2
BenchmarkGPT-4.1 MiniMiniMax M2Leader
AA Intelligence Index10.218.6MiniMax M2
Epoch Capabilities Index134.9Not measuredOnly GPT-4.1 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Mini and MiniMax M2
BenchmarkGPT-4.1 MiniMiniMax M2Leader
τ²-Bench Telecom52.9%86.8%MiniMax M2
Vending-Bench 2Not measured$161Only MiniMax M2 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
Reasoning benchmarks for GPT-4.1 Mini and MiniMax M2
BenchmarkGPT-4.1 MiniMiniMax M2Leader
GPQA Diamond67.9%Not measuredOnly GPT-4.1 Mini measured
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%77.7%MiniMax M2
Humanity's Last Exam (Artificial Analysis run)5.0%13.7%MiniMax M2
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 prompts13491357MiniMax M2
LMArena Text: expert13381338GPT-4.1 Mini
LMArena Text: hard prompts in English13621376MiniMax M2
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not 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 index04
Math benchmarks for GPT-4.1 Mini and MiniMax M2
BenchmarkGPT-4.1 MiniMiniMax M2Leader
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 Index46.378.3MiniMax M2
AIME 2025 (Artificial Analysis run)46.3%78.3%MiniMax M2
OTIS Mock AIME44.7%Not measuredOnly GPT-4.1 Mini measured
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431351MiniMax M2
LMArena Text: mathematical work13471368MiniMax M2
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4.1 Mini and MiniMax M2
BenchmarkGPT-4.1 MiniMiniMax M2Leader
MMLU Pro77.2%Not measuredOnly GPT-4.1 Mini measured
LegalBench (Vals AI)78.0%Not measuredOnly GPT-4.1 Mini measured
CorpFin (Vals AI)57.9%Not measuredOnly GPT-4.1 Mini measured
TaxEval (Vals AI)71.9%Not measuredOnly GPT-4.1 Mini measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)78.1%82.0%MiniMax M2
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281348MiniMax M2
LMArena Text: medicine and healthcare13241367MiniMax M2
LMArena Text: legal and government13431349MiniMax M2
LMArena Text: business and finance13221336MiniMax M2
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 M2
BenchmarkGPT-4.1 MiniMiniMax M2Leader
Design Arena: websites9971144MiniMax M2
Design Arena: UI components9611136MiniMax M2
Design Arena: game dev10711119MiniMax M2
Design Arena: data viz10341140MiniMax M2
Design Arena: 3D8371098MiniMax M2
Design Arena: all code categories9941135MiniMax M2
Design Arena: SVGNot measured1098Only MiniMax M2 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index98
General benchmarks for GPT-4.1 Mini and MiniMax M2
BenchmarkGPT-4.1 MiniMiniMax M2Leader
IFBench38.3%72.3%MiniMax M2
Long context reasoning (AA-LCR)44.0%64.3%MiniMax M2
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
LMArena Text13411340GPT-4.1 Mini
LMArena Text: instruction following13331329GPT-4.1 Mini
LMArena Text: creative writing12991286GPT-4.1 Mini
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English13561364MiniMax M2
LMArena Text: non-English13181313GPT-4.1 Mini
LMArena Text: Chinese13291366MiniMax M2
LMArena Text: German13501357MiniMax M2
LMArena Text: Japanese1290Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Korean1298Not measuredOnly GPT-4.1 Mini measured
LMArena Text: French13581336GPT-4.1 Mini
LMArena Text: Spanish13191326MiniMax M2
LMArena Text: Russian13241330MiniMax M2
LMArena Text: Polish13261312GPT-4.1 Mini
LMArena Text: multi-turn13541361MiniMax M2
LMArena Text: longer queries13441331GPT-4.1 Mini
LMArena Text: writing and language13191295GPT-4.1 Mini
LMArena Text: entertainment and media13001298GPT-4.1 Mini
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 16 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
BenchmarkGPT-4.1 MiniMiniMax M2Leader
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$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
MiniMax M2$0.061Exceeds the context window

MiniMax M2 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
SpecificationOpenAI GPT-4.1 MiniMiniMax M2
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025October 23, 2025
Context window1.05M205K
Input $/Mtok$0.40$0.255
Output $/Mtok$1.60$1.02
Coding index28.545.3
Independent measurements behind it22
Cost per solved task$1.818$0.702
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick MiniMax M2 for coding: it scores 45.3 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini. Pick GPT-4.1 Mini when the context window is larger, 1.05M against 205K tokens, or when what matters is LMArena Text: expert or LMArena Text, where it leads.

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

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and MiniMax M2 $0.702.

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

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

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

44 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Mini's coding index rests on 2 independent benchmarks and MiniMax M2's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-4-1-mini-vs-minimax-minimax-m2">LLMBenchmark.ai, GPT-4.1 Mini vs MiniMax M2</a></p>