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GPT-4o (2024-08-06) vs MiniMax M3

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4o (2024-08-06) Replace MiniMax M3
GPT-4o (2024-08-06)OpenAI
Coding
23.1
Overall
7.7
Output $/M
$10.00
0
MiniMax M3MiniMax
Coding
57.8
Overall
29.2
Output $/M
$1.20
47
vs boards won of 47 shared

Decision reading

Pick MiniMax M3 for coding: it scores 57.8 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06).

GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model AGPT-4o (2024-08-06)OpenAI23.1/1001 independent benchmarkNo cost per solved taskModel BMiniMax M3MiniMax57.8/1002 independent benchmarks$0.56 per solved task
Shared results
47
GPT-4o (2024-08-06) only
11
MiniMax M3 only
69
Like-for-like categories
7 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-4o (2024-08-06) 23.1 from 1 benchmark, MiniMax M3 57.8 from 2 benchmarks.
Widest category
Agentic work, 59.9 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: GPT-4o (2024-08-06) 6.4% against MiniMax M3 71.1%, 64.7 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against MiniMax M3 $1.20 per million output tokens, 8.3x apart.
Context window
GPT-4o (2024-08-06) takes 128K 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-4o (2024-08-06)BarsMiniMax M3Ties
Coding03
Intelligence01
Agentic work01
Reasoning09
Math03
Knowledge09
General021
All shared boards047
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4o (2024-08-06) and MiniMax M3
BenchmarkGPT-4o (2024-08-06)MiniMax M3Leader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LiveBench codingNot measured70.9%Only MiniMax M3 measured
LMArena WebDevNot measured1482Only MiniMax M3 measured
AA Coding IndexNot measured58.6Only MiniMax M3 measured
LiveCodeBench (Vals AI)Not measured82.2%Only MiniMax M3 measured
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)31.7%Not measuredOnly GPT-4o (2024-08-06) measured
SciCodeNot measured47.1%Only MiniMax M3 measured
Terminal-Bench Hard (Artificial Analysis run)8.3%42.4%MiniMax M3
FrontierCodeNot measured14.7%Only MiniMax M3 measured
ALE-BenchNot measured640.0Only MiniMax M3 measured
LMArena Text: coding12831470MiniMax M3
LMArena Text: software and IT12781466MiniMax 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 index01
Intelligence benchmarks for GPT-4o (2024-08-06) and MiniMax M3
BenchmarkGPT-4o (2024-08-06)MiniMax M3Leader
AA Intelligence Index7.729.2MiniMax M3
Epoch Capabilities IndexNot measured146.9Only MiniMax M3 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4o (2024-08-06) and MiniMax M3
BenchmarkGPT-4o (2024-08-06)MiniMax 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 measured1164Only MiniMax M3 measured
Design Arena: agents building gamesNot measured1158Only MiniMax M3 measured
Design Arena: HTML slidesNot measured1180Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1205Only MiniMax M3 measured
Design Arena: spreadsheetsNot measured1021Only 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 Telecom28.9%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
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for GPT-4o (2024-08-06) and MiniMax M3
BenchmarkGPT-4o (2024-08-06)MiniMax M3Leader
GPQA DiamondNot measured92.7%Only MiniMax M3 measured
LiveBench reasoningNot measured74.5%Only MiniMax M3 measured
MMMU Pro (Vals AI)64.0%81.2%MiniMax M3
GPQA Diamond (Artificial Analysis run)52.1%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)2.3%39.0%MiniMax M3
GPQA Diamond (Epoch AI run)49.2%90.9%MiniMax M3
SimpleBench17.8%45.8%MiniMax M3
Chess puzzles6.0%13.0%MiniMax M3
Mystery game puzzlesNot measured8.0%Only MiniMax M3 measured
LMArena Text: hard prompts12641447MiniMax M3
LMArena Text: expert12411461MiniMax M3
LMArena Text: hard prompts in English12771455MiniMax M3
LMArena Vision: diagramsNot measured1266Only MiniMax M3 measured
LMArena Vision: homeworkNot measured1268Only MiniMax M3 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-4o (2024-08-06) and MiniMax M3
BenchmarkGPT-4o (2024-08-06)MiniMax M3Leader
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%71.1%MiniMax M3
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
ProofBenchNot measured18.0%Only MiniMax M3 measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math12851429MiniMax M3
LMArena Text: mathematical work12831448MiniMax M3
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for GPT-4o (2024-08-06) and MiniMax M3
BenchmarkGPT-4o (2024-08-06)MiniMax M3Leader
MMLU Pro74.1%84.2%MiniMax M3
LegalBench (Vals AI)80.1%85.4%MiniMax M3
CorpFin (Vals AI)39.4%68.1%MiniMax M3
TaxEval (Vals AI)71.1%72.7%MiniMax M3
MortgageTax (Vals AI)61.0%68.4%MiniMax M3
MedQA (Vals AI)88.2%Not measuredOnly GPT-4o (2024-08-06) measured
MedCode (Vals AI)Not measured46.3%Only MiniMax M3 measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741452MiniMax M3
LMArena Text: medicine and healthcare12521441MiniMax M3
LMArena Text: legal and government12751437MiniMax M3
LMArena Text: business and finance12321434MiniMax M3
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and MiniMax M3
BenchmarkGPT-4o (2024-08-06)MiniMax M3Leader
Design Arena: websitesNot measured1257Only MiniMax M3 measured
Design Arena: UI componentsNot measured1246Only MiniMax M3 measured
Design Arena: game devNot measured1210Only MiniMax M3 measured
Design Arena: data vizNot measured1235Only MiniMax M3 measured
Design Arena: 3DNot measured1209Only MiniMax M3 measured
Design Arena: all code categoriesNot measured1247Only MiniMax M3 measured
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 index021
General benchmarks for GPT-4o (2024-08-06) and MiniMax M3
BenchmarkGPT-4o (2024-08-06)MiniMax 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
IFBench36.0%82.9%MiniMax M3
Long context reasoning (AA-LCR)41.0%83.0%MiniMax M3
DTBenchNot measured78.9%Only MiniMax M3 measured
LMCANot measured33.7%Only MiniMax M3 measured
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
LMArena Text12831433MiniMax M3
LMArena Text: instruction following12671433MiniMax M3
LMArena Text: creative writing12741404MiniMax M3
LMArena Vision10651251MiniMax M3
LMArena Text: English12971443MiniMax M3
LMArena Text: non-English12621420MiniMax M3
LMArena Text: Chinese12541466MiniMax M3
LMArena Text: German12571428MiniMax M3
LMArena Text: Japanese12341380MiniMax M3
LMArena Text: Korean12181373MiniMax M3
LMArena Text: French12631444MiniMax M3
LMArena Text: Spanish12691433MiniMax M3
LMArena Text: Russian12721426MiniMax M3
LMArena Text: PolishNot measured1423Only MiniMax M3 measured
LMArena Text: multi-turn12791443MiniMax M3
LMArena Text: longer queries12831446MiniMax M3
LMArena Text: writing and language12901419MiniMax M3
LMArena Text: entertainment and media12671403MiniMax M3
LMArena Vision: English10721263MiniMax M3
LMArena Vision: Chinese10091311MiniMax M3
LMArena Vision: reading textNot measured1259Only MiniMax M3 measured
LMArena Vision: humorNot measured1235Only MiniMax M3 measured
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writingNot measured1234Only MiniMax M3 measured
LMArena DocumentNot measured1435Only MiniMax M3 measured
Neither model has a result on the other 11 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 M3
BenchmarkGPT-4o (2024-08-06)MiniMax 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-4o (2024-08-06)$0.0075Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
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-4o (2024-08-06) and MiniMax M3
SpecificationOpenAI GPT-4o (2024-08-06)MiniMax M3
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024May 31, 2026
Context window128K1.05M
Input $/Mtok$2.50$0.30
Output $/Mtok$10.00$1.20
Coding index23.157.8
Independent measurements behind it12
Cost per solved taskNot computable$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than MiniMax M3 for coding?

Pick MiniMax M3 for coding: it scores 57.8 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06). GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, GPT-4o (2024-08-06) or MiniMax M3?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.

Which has the bigger context window, GPT-4o (2024-08-06) or MiniMax M3?

MiniMax M3, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs MiniMax M3 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. GPT-4o (2024-08-06)'s coding index rests on 1 independent benchmark and MiniMax M3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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