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GPT-4 vs MiniMax M2.5

MiniMax M2.5 leads GPT-4 on the Artificial Analysis Intelligence Index, 22.8 to 6.7, and MiniMax M2.5 costs 50.0x less per output token ($1.20 vs $60.00 per million). Updated October 22, 2026; 33 benchmarks have a result for both.

Replace GPT-4 Replace MiniMax M2.5
GPT-4OpenAI
Coding
No data
Overall
No data
Output $/M
$60.00
0
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
33
vs boards won of 33 shared

GPT-4 or MiniMax M2.5: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; GPT-4 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGPT-4OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
33
GPT-4 only
12
MiniMax M2.5 only
35
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 not benchmarked, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Coding, 37.8 points apart on average over 3 shared benchmarks.
Widest single gap
SWE-bench Verified: GPT-4 22.4% against MiniMax M2.5 75.8%, 53.4 points apart on a 0 to 100 scale.
Output price
GPT-4 $60.00 against MiniMax M2.5 $1.20 per million output tokens, 50.0x apart.
Context window
GPT-4 takes 8K tokens, MiniMax M2.5 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-4BarsMiniMax M2.5Ties
Coding03
Intelligence02
Reasoning04
Math02
Knowledge04
General018
All shared boards033
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4 and MiniMax M2.5
BenchmarkGPT-4MiniMax M2.5Leader
SWE-bench Verified22.4%75.8%MiniMax M2.5
SWE-bench Lite39.7%Not measuredOnly GPT-4 measured
SWE-bench (full test set)12.5%Not measuredOnly GPT-4 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDevNot measured1386Only MiniMax M2.5 measured
AA Coding Index13.1Not measuredOnly GPT-4 measured
LiveCodeBench (Vals AI)Not measured79.2%Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)Not measured74.2%Only MiniMax M2.5 measured
Vibe Code Bench (Vals AI)Not measured14.8%Only MiniMax M2.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only MiniMax M2.5 measured
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
ALE-BenchNot measured618.2Only MiniMax M2.5 measured
LMArena Text: coding12091380MiniMax M2.5
LMArena Text: software and IT11951383MiniMax M2.5
LMArena WebDev: ReactNot measured1374Only MiniMax M2.5 measured
LMArena WebDev: HTMLNot measured1414Only MiniMax M2.5 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4 and MiniMax M2.5
BenchmarkGPT-4MiniMax M2.5Leader
AA Intelligence Index6.722.8MiniMax M2.5
Epoch Capabilities Index125.7146.6MiniMax M2.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GPT-4 and MiniMax M2.5
BenchmarkGPT-4MiniMax M2.5Leader
τ²-Bench TelecomNot measured95.3%Only MiniMax M2.5 measured
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-4 and MiniMax M2.5
BenchmarkGPT-4MiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)34.9%84.8%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)Not measured20.5%Only MiniMax M2.5 measured
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
BIG-Bench Hard75.1%Not measuredOnly GPT-4 measured
LMArena Text: hard prompts12001372MiniMax M2.5
LMArena Text: expert11491378MiniMax M2.5
LMArena Text: hard prompts in English12091384MiniMax M2.5
Kagi LLM BenchmarkNot measured55.2%Only MiniMax M2.5 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4 and MiniMax M2.5
BenchmarkGPT-4MiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
GSM8K92.0%Not measuredOnly GPT-4 measured
LMArena Text: math12301378MiniMax M2.5
LMArena Text: mathematical work12281378MiniMax M2.5
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4 and MiniMax M2.5
BenchmarkGPT-4MiniMax M2.5Leader
MMLU ProNot measured80.1%Only MiniMax M2.5 measured
LegalBench (Vals AI)Not measured80.0%Only MiniMax M2.5 measured
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)Not measured59.6%Only MiniMax M2.5 measured
TaxEval (Vals AI)Not measured68.2%Only MiniMax M2.5 measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
MMLU Pro (Artificial Analysis run)56.2%Not measuredOnly GPT-4 measured
MMLU86.4%Not measuredOnly GPT-4 measured
AI2 Reasoning Challenge96.3%Not measuredOnly GPT-4 measured
LMArena Text: science11771369MiniMax M2.5
LMArena Text: medicine and healthcare11451357MiniMax M2.5
LMArena Text: legal and government11911366MiniMax M2.5
LMArena Text: business and finance11451356MiniMax M2.5
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GPT-4 and MiniMax M2.5
BenchmarkGPT-4MiniMax M2.5Leader
Design Arena: websitesNot measured1222Only MiniMax M2.5 measured
Design Arena: UI componentsNot measured1173Only MiniMax M2.5 measured
Design Arena: game devNot measured1176Only MiniMax M2.5 measured
Design Arena: data vizNot measured1172Only MiniMax M2.5 measured
Design Arena: 3DNot measured1170Only MiniMax M2.5 measured
Design Arena: all code categoriesNot measured1207Only MiniMax M2.5 measured
Design Arena: SVGNot measured1150Only MiniMax M2.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GPT-4 and MiniMax M2.5
BenchmarkGPT-4MiniMax M2.5Leader
IFBench33.2%71.6%MiniMax M2.5
Long context reasoning (AA-LCR)Not measured73.3%Only MiniMax M2.5 measured
DTBench62.7%Not measuredOnly GPT-4 measured
LMCA17.1%Not measuredOnly GPT-4 measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
HellaSwag95.3%Not measuredOnly GPT-4 measured
WinoGrande87.5%Not measuredOnly GPT-4 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text12061359MiniMax M2.5
LMArena Text: instruction following12011353MiniMax M2.5
LMArena Text: creative writing11911331MiniMax M2.5
LMArena Text: English12201380MiniMax M2.5
LMArena Text: non-English11941338MiniMax M2.5
LMArena Text: Chinese11841393MiniMax M2.5
LMArena Text: German11981361MiniMax M2.5
LMArena Text: Japanese11371171MiniMax M2.5
LMArena Text: Korean10871233MiniMax M2.5
LMArena Text: French12201363MiniMax M2.5
LMArena Text: Spanish11971353MiniMax M2.5
LMArena Text: Russian11951359MiniMax M2.5
LMArena Text: Polish12651334MiniMax M2.5
LMArena Text: multi-turn12061364MiniMax M2.5
LMArena Text: longer queries11901366MiniMax M2.5
LMArena Text: writing and language12191345MiniMax M2.5
LMArena Text: entertainment and media11841329MiniMax M2.5
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4 and MiniMax M2.5
BenchmarkGPT-4MiniMax M2.5Leader
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$0.060Fits in one request
MiniMax M2.5$0.0009Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

GPT-4$1.68Exceeds the context window
MiniMax M2.5$0.019Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-4$6.60Exceeds the context window
MiniMax M2.5$0.072Exceeds the context window

MiniMax M2.5 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 and MiniMax M2.5
SpecificationOpenAI GPT-4MiniMax M2.5
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedMay 28, 2023February 12, 2026
Context window8K205K
Input $/Mtok$30.00$0.30
Output $/Mtok$60.00$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it03
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 better than MiniMax M2.5 for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; GPT-4 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-4 or MiniMax M2.5?

GPT-4 costs $30.00 per million input tokens and $60.00 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, GPT-4 or MiniMax M2.5?

MiniMax M2.5, with 205K tokens against 8K.

How many benchmarks is the GPT-4 vs MiniMax M2.5 comparison based on?

33 benchmarks have a result for both models as of October 22, 2026. GPT-4's coding index rests on 0 independent benchmarks and MiniMax M2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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