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GPT-4.1 vs MiniMax M1

GPT-4.1 leads MiniMax M1 on the Artificial Analysis Intelligence Index, 12.7 to 11.7, and MiniMax M1 costs 3.6x less per output token ($2.20 vs $8.00 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
28
MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
1
vs boards won of 29 shared

GPT-4.1 or MiniMax M1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4.1 for a larger context window (1.05M against 1M tokens) and work measured by LMArena Text: mathematical work, where it leads.

Shared results
29
GPT-4.1 only
63
MiniMax M1 only
0
Like-for-like categories
6 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 not benchmarked, MiniMax M1 not benchmarked.
Widest category
General, 8.4 points apart on average over 17 shared benchmarks.
Widest single gap
LMArena Text: Japanese: GPT-4.1 1319 against MiniMax M1 1217, 17.0 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against MiniMax M1 $2.20 per million output tokens, 3.6x apart.
Context window
GPT-4.1 takes 1.05M tokens, MiniMax M1 1M.

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-4.1BarsMiniMax M1Ties
Coding20
Intelligence10
Reasoning30
Math11
Knowledge40
General170
All shared boards281
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GPT-4.1 and MiniMax M1
BenchmarkGPT-4.1MiniMax M1Leader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Vals AI)54.7%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)45.7%Not measuredOnly GPT-4.1 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly GPT-4.1 measured
WeirdML39.0%Not measuredOnly GPT-4.1 measured
ALE-Bench558.1Not measuredOnly GPT-4.1 measured
LMArena Text: coding13901359GPT-4.1
LMArena Text: software and IT13911359GPT-4.1
SciCode4.6%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4.1 and MiniMax M1
BenchmarkGPT-4.1MiniMax M1Leader
AA Intelligence Index12.711.7GPT-4.1
Epoch Capabilities Index136.7Not measuredOnly GPT-4.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-4.1 and MiniMax M1
BenchmarkGPT-4.1MiniMax M1Leader
τ²-Bench Telecom47.1%Not measuredOnly GPT-4.1 measured
Berkeley Function Calling Leaderboard (BFCL)54.0%Not measuredOnly GPT-4.1 measured
BrowseComp-Plus36.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for GPT-4.1 and MiniMax M1
BenchmarkGPT-4.1MiniMax M1Leader
GPQA Diamond65.4%Not measuredOnly GPT-4.1 measured
MMMU Pro (Vals AI)72.4%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)66.6%Not measuredOnly GPT-4.1 measured
Humanity's Last Exam (Artificial Analysis run)4.2%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Epoch AI run)66.9%Not measuredOnly GPT-4.1 measured
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
LMArena Text: hard prompts13841339GPT-4.1
LMArena Text: expert13641317GPT-4.1
LMArena Text: hard prompts in English13931353GPT-4.1
LMArena Vision: diagrams1215Not measuredOnly GPT-4.1 measured
LMArena Vision: homework1248Not measuredOnly GPT-4.1 measured
Kagi LLM Benchmark52.3%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for GPT-4.1 and MiniMax M1
BenchmarkGPT-4.1MiniMax M1Leader
AIME39.6%Not measuredOnly GPT-4.1 measured
MATH 500 (Vals AI)87.2%Not measuredOnly GPT-4.1 measured
MGSM (Vals AI)87.7%Not measuredOnly GPT-4.1 measured
AA Math Index34.7Not measuredOnly GPT-4.1 measured
AIME 2025 (Artificial Analysis run)34.7%Not measuredOnly GPT-4.1 measured
OTIS Mock AIME38.3%Not measuredOnly GPT-4.1 measured
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691361GPT-4.1
LMArena Text: mathematical work13601363MiniMax M1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GPT-4.1 and MiniMax M1
BenchmarkGPT-4.1MiniMax M1Leader
MMLU Pro80.5%Not measuredOnly GPT-4.1 measured
LegalBench (Vals AI)83.1%Not measuredOnly GPT-4.1 measured
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%Not measuredOnly GPT-4.1 measured
TaxEval (Vals AI)75.1%Not measuredOnly GPT-4.1 measured
MortgageTax (Vals AI)65.9%Not measuredOnly GPT-4.1 measured
MedQA (Vals AI)91.2%Not measuredOnly GPT-4.1 measured
MMLU Pro (Artificial Analysis run)80.6%Not measuredOnly GPT-4.1 measured
SimpleQA Verified31.1%Not measuredOnly GPT-4.1 measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821354GPT-4.1
LMArena Text: medicine and healthcare13791355GPT-4.1
LMArena Text: legal and government13991337GPT-4.1
LMArena Text: business and finance13691319GPT-4.1
FACTS Benchmark Suite45.8%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 and MiniMax M1
BenchmarkGPT-4.1MiniMax M1Leader
Design Arena: websites1038Not measuredOnly GPT-4.1 measured
Design Arena: UI components997Not measuredOnly GPT-4.1 measured
Design Arena: game dev1079Not measuredOnly GPT-4.1 measured
Design Arena: data viz1104Not measuredOnly GPT-4.1 measured
Design Arena: 3D849Not measuredOnly GPT-4.1 measured
Design Arena: all code categories1025Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for GPT-4.1 and MiniMax M1
BenchmarkGPT-4.1MiniMax M1Leader
IFBench43.0%Not measuredOnly GPT-4.1 measured
Long context reasoning (AA-LCR)68.3%Not measuredOnly GPT-4.1 measured
DTBench68.3%Not measuredOnly GPT-4.1 measured
LMCA25.6%Not measuredOnly GPT-4.1 measured
Fiction.LiveBench63.9%Not measuredOnly GPT-4.1 measured
LMArena Text13831343GPT-4.1
LMArena Text: instruction following13671312GPT-4.1
LMArena Text: creative writing13631297GPT-4.1
LMArena Vision1210Not measuredOnly GPT-4.1 measured
LMArena Text: English13921363GPT-4.1
LMArena Text: non-English13701319GPT-4.1
LMArena Text: Chinese13821360GPT-4.1
LMArena Text: German13811350GPT-4.1
LMArena Text: Japanese13191217GPT-4.1
LMArena Text: Korean13381266GPT-4.1
LMArena Text: French13821370GPT-4.1
LMArena Text: Spanish13761353GPT-4.1
LMArena Text: Russian13771329GPT-4.1
LMArena Text: Polish13891329GPT-4.1
LMArena Text: multi-turn13971335GPT-4.1
LMArena Text: longer queries13851326GPT-4.1
LMArena Text: writing and language13711311GPT-4.1
LMArena Text: entertainment and media13651303GPT-4.1
LMArena Vision: English1209Not measuredOnly GPT-4.1 measured
LMArena Vision: Chinese1226Not measuredOnly GPT-4.1 measured
LMArena Vision: reading text1218Not measuredOnly GPT-4.1 measured
LMArena Vision: humor1196Not measuredOnly GPT-4.1 measured
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-4.1 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 and MiniMax M1
BenchmarkGPT-4.1MiniMax M1Leader
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$0.0060Fits in one request
MiniMax M1$0.0015Fits in one request

MiniMax M1 costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
MiniMax M1$0.027Fits in one request

MiniMax M1 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
MiniMax M1$0.102Fits in one request

MiniMax M1 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 and MiniMax M1
SpecificationOpenAI GPT-4.1MiniMax M1
MakerOpenAIMiniMax
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025June 17, 2025
Context window1.05M1M
Input $/Mtok$2.00$0.40
Output $/Mtok$8.00$2.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than MiniMax M1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 for a larger context window (1.05M against 1M tokens) and work measured by LMArena Text: mathematical work, where it leads.

Which is cheaper, GPT-4.1 or MiniMax M1?

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, GPT-4.1 or MiniMax M1?

GPT-4.1, with 1.05M tokens against 1M.

How many benchmarks is the GPT-4.1 vs MiniMax M1 comparison based on?

29 benchmarks have a result for both models as of October 22, 2026. GPT-4.1's coding index rests on 0 independent benchmarks and MiniMax M1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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