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GPT-4o (2024-08-06) vs MiniMax M1

MiniMax M1 leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 11.7 to 7.7, and MiniMax M1 costs 4.5x less per output token ($2.20 vs $10.00 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace GPT-4o (2024-08-06) Replace MiniMax M1
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
1
MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
27
vs boards won of 28 shared

GPT-4o (2024-08-06) or MiniMax M1: which to pick

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

Pick GPT-4o (2024-08-06) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M1MiniMaxNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
28
GPT-4o (2024-08-06) only
30
MiniMax M1 only
1
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-4o (2024-08-06) not benchmarked, MiniMax M1 not benchmarked.
Widest category
Knowledge, 13.8 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: French: GPT-4o (2024-08-06) 1263 against MiniMax M1 1370, 17.9 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against MiniMax M1 $2.20 per million output tokens, 4.5x apart.
Context window
GPT-4o (2024-08-06) takes 128K 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-4o (2024-08-06)BarsMiniMax M1Ties
Coding02
Intelligence01
Reasoning03
Math02
Knowledge04
General115
All shared boards127
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4o (2024-08-06) and MiniMax M1
BenchmarkGPT-4o (2024-08-06)MiniMax M1Leader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LiveCodeBench (Artificial Analysis run)31.7%Not measuredOnly GPT-4o (2024-08-06) measured
Terminal-Bench Hard (Artificial Analysis run)8.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: coding12831359MiniMax M1
LMArena Text: software and IT12781359MiniMax M1
Neither model has a result on the other 37 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and MiniMax M1
BenchmarkGPT-4o (2024-08-06)MiniMax M1Leader
AA Intelligence Index7.711.7MiniMax M1
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4o (2024-08-06) and MiniMax M1
BenchmarkGPT-4o (2024-08-06)MiniMax M1Leader
τ²-Bench Telecom28.9%Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for GPT-4o (2024-08-06) and MiniMax M1
BenchmarkGPT-4o (2024-08-06)MiniMax M1Leader
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%Not measuredOnly GPT-4o (2024-08-06) measured
Humanity's Last Exam (Artificial Analysis run)2.3%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Epoch AI run)49.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleBench17.8%Not measuredOnly GPT-4o (2024-08-06) measured
Chess puzzles6.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts12641339MiniMax M1
LMArena Text: expert12411317MiniMax M1
LMArena Text: hard prompts in English12771353MiniMax M1
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o (2024-08-06) and MiniMax M1
BenchmarkGPT-4o (2024-08-06)MiniMax M1Leader
AIME14.0%Not measuredOnly GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)75.2%Not measuredOnly GPT-4o (2024-08-06) measured
MGSM (Vals AI)90.7%Not measuredOnly GPT-4o (2024-08-06) measured
OTIS Mock AIME6.4%Not measuredOnly GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math12851361MiniMax M1
LMArena Text: mathematical work12831363MiniMax M1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o (2024-08-06) and MiniMax M1
BenchmarkGPT-4o (2024-08-06)MiniMax M1Leader
MMLU Pro74.1%Not measuredOnly GPT-4o (2024-08-06) measured
LegalBench (Vals AI)80.1%Not measuredOnly GPT-4o (2024-08-06) measured
CorpFin (Vals AI)39.4%Not measuredOnly GPT-4o (2024-08-06) measured
TaxEval (Vals AI)71.1%Not measuredOnly GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741354MiniMax M1
LMArena Text: medicine and healthcare12521355MiniMax M1
LMArena Text: legal and government12751337MiniMax M1
LMArena Text: business and finance12321319MiniMax M1
Neither model has a result on the other 8 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and MiniMax M1
BenchmarkGPT-4o (2024-08-06)MiniMax M1Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index115
General benchmarks for GPT-4o (2024-08-06) and MiniMax M1
BenchmarkGPT-4o (2024-08-06)MiniMax M1Leader
IFBench36.0%Not measuredOnly GPT-4o (2024-08-06) measured
Long context reasoning (AA-LCR)41.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text12831343MiniMax M1
LMArena Text: instruction following12671312MiniMax M1
LMArena Text: creative writing12741297MiniMax M1
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English12971363MiniMax M1
LMArena Text: non-English12621319MiniMax M1
LMArena Text: Chinese12541360MiniMax M1
LMArena Text: German12571350MiniMax M1
LMArena Text: Japanese12341217GPT-4o (2024-08-06)
LMArena Text: Korean12181266MiniMax M1
LMArena Text: French12631370MiniMax M1
LMArena Text: Spanish12691353MiniMax M1
LMArena Text: Russian12721329MiniMax M1
LMArena Text: PolishNot measured1329Only MiniMax M1 measured
LMArena Text: multi-turn12791335MiniMax M1
LMArena Text: longer queries12831326MiniMax M1
LMArena Text: writing and language12901311MiniMax M1
LMArena Text: entertainment and media12671303MiniMax M1
LMArena Vision: English1072Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: Chinese1009Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-08-06) and MiniMax M1
BenchmarkGPT-4o (2024-08-06)MiniMax 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-4o (2024-08-06)$0.0075Fits in one request
MiniMax M1$0.0015Fits in one request

MiniMax M1 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
MiniMax M1$0.027Fits in one request

MiniMax M1 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
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-4o (2024-08-06) and MiniMax M1
SpecificationOpenAI GPT-4o (2024-08-06)MiniMax M1
MakerOpenAIMiniMax
WeightsNo public weights listedNo public weights listed
ReleasedAugust 6, 2024June 17, 2025
Context window128K1M
Input $/Mtok$2.50$0.40
Output $/Mtok$10.00$2.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than MiniMax M1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-4o (2024-08-06) or MiniMax M1?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-08-06) or MiniMax M1?

MiniMax M1, with 1M tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs MiniMax M1 comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-08-06)'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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