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GPT-4o (2024-08-06) vs MiniMax M2

MiniMax M2 leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 18.6 to 7.7, and MiniMax M2 costs 9.8x less per output token ($1.02 vs $10.00 per million). Updated October 23, 2026; 33 benchmarks have a result for both.

Replace GPT-4o (2024-08-06) Replace MiniMax M2
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
0
MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
33
vs boards won of 33 shared

GPT-4o (2024-08-06) or MiniMax M2: 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 LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2MiniMaxNot benchmarked1 independent benchmark$0.702 per solved task
Shared results
33
GPT-4o (2024-08-06) only
25
MiniMax M2 only
17
Like-for-like categories
7 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 M2 not benchmarked.
Widest category
Agentic work, 57.9 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-4o (2024-08-06) 28.9% against MiniMax M2 86.8%, 57.9 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against MiniMax M2 $1.02 per million output tokens, 9.8x apart.
Context window
GPT-4o (2024-08-06) takes 128K 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-4o (2024-08-06)BarsMiniMax M2Ties
Coding04
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General016
All shared boards033
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4o (2024-08-06) and MiniMax M2
BenchmarkGPT-4o (2024-08-06)MiniMax M2Leader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench VerifiedNot measured61.0%Only MiniMax M2 measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena WebDevNot measured1297Only MiniMax M2 measured
LiveCodeBench (Artificial Analysis run)31.7%82.6%MiniMax M2
Terminal-Bench Hard (Artificial Analysis run)8.3%25.8%MiniMax M2
Terminal-BenchNot measured30.0%Only MiniMax M2 measured
LMArena Text: coding12831371MiniMax M2
LMArena Text: software and IT12781373MiniMax M2
LMArena WebDev: HTMLNot measured1306Only MiniMax M2 measured
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and MiniMax M2
BenchmarkGPT-4o (2024-08-06)MiniMax M2Leader
AA Intelligence Index7.718.6MiniMax M2
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4o (2024-08-06) and MiniMax M2
BenchmarkGPT-4o (2024-08-06)MiniMax M2Leader
τ²-Bench Telecom28.9%86.8%MiniMax M2
Vending-Bench 2Not measured$161Only MiniMax M2 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4o (2024-08-06) and MiniMax M2
BenchmarkGPT-4o (2024-08-06)MiniMax M2Leader
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%77.7%MiniMax M2
Humanity's Last Exam (Artificial Analysis run)2.3%13.7%MiniMax M2
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 prompts12641357MiniMax M2
LMArena Text: expert12411338MiniMax M2
LMArena Text: hard prompts in English12771376MiniMax M2
Kagi LLM BenchmarkNot measured57.8%Only MiniMax M2 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o (2024-08-06) and MiniMax M2
BenchmarkGPT-4o (2024-08-06)MiniMax M2Leader
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
AA Math IndexNot measured78.3Only MiniMax M2 measured
AIME 2025 (Artificial Analysis run)Not measured78.3%Only MiniMax M2 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: math12851351MiniMax M2
LMArena Text: mathematical work12831368MiniMax M2
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o (2024-08-06) and MiniMax M2
BenchmarkGPT-4o (2024-08-06)MiniMax M2Leader
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
MMLU Pro (Artificial Analysis run)Not measured82.0%Only MiniMax M2 measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741349MiniMax M2
LMArena Text: medicine and healthcare12521367MiniMax M2
LMArena Text: legal and government12751349MiniMax M2
LMArena Text: business and finance12321336MiniMax M2
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and MiniMax M2
BenchmarkGPT-4o (2024-08-06)MiniMax M2Leader
Design Arena: websitesNot measured1143Only MiniMax M2 measured
Design Arena: UI componentsNot measured1134Only MiniMax M2 measured
Design Arena: game devNot measured1118Only MiniMax M2 measured
Design Arena: data vizNot measured1140Only MiniMax M2 measured
Design Arena: 3DNot measured1098Only MiniMax M2 measured
Design Arena: all code categoriesNot measured1135Only MiniMax M2 measured
Design Arena: SVGNot measured1100Only 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 index016
General benchmarks for GPT-4o (2024-08-06) and MiniMax M2
BenchmarkGPT-4o (2024-08-06)MiniMax M2Leader
IFBench36.0%72.3%MiniMax M2
Long context reasoning (AA-LCR)41.0%64.3%MiniMax M2
LMArena Text12831340MiniMax M2
LMArena Text: instruction following12671329MiniMax M2
LMArena Text: creative writing12741287MiniMax M2
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English12971364MiniMax M2
LMArena Text: non-English12621313MiniMax M2
LMArena Text: Chinese12541366MiniMax M2
LMArena Text: German12571354MiniMax M2
LMArena Text: Japanese1234Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Korean1218Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: French12631336MiniMax M2
LMArena Text: Spanish12691326MiniMax M2
LMArena Text: Russian12721330MiniMax M2
LMArena Text: PolishNot measured1311Only MiniMax M2 measured
LMArena Text: multi-turn12791361MiniMax M2
LMArena Text: longer queries12831331MiniMax M2
LMArena Text: writing and language12901295MiniMax M2
LMArena Text: entertainment and media12671298MiniMax M2
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 M2
BenchmarkGPT-4o (2024-08-06)MiniMax 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-4o (2024-08-06)$0.0075Fits in one request
MiniMax M2$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
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-4o (2024-08-06) and MiniMax M2
SpecificationOpenAI GPT-4o (2024-08-06)MiniMax M2
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024October 23, 2025
Context window128K205K
Input $/Mtok$2.50$0.255
Output $/Mtok$10.00$1.02
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than MiniMax M2 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 LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, GPT-4o (2024-08-06) or MiniMax M2?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, GPT-4o (2024-08-06) or MiniMax M2?

MiniMax M2, with 205K tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs MiniMax M2 comparison based on?

33 benchmarks have a result for both models as of October 23, 2026. GPT-4o (2024-08-06)'s coding index rests on 0 independent benchmarks and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.

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