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GPT-4 Turbo vs MiniMax M2.5

MiniMax M2.5 leads GPT-4 Turbo on the Artificial Analysis Intelligence Index, 22.8 to 7.0, and MiniMax M2.5 costs 25.0x less per output token ($1.20 vs $30.00 per million). Updated October 23, 2026; 33 benchmarks have a result for both.

Replace GPT-4 Turbo Replace MiniMax M2.5
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
2
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
31
vs boards won of 33 shared

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

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

Pick GPT-4 Turbo for work measured by LegalBench (Vals AI) or LMArena Text: Japanese, where it leads.

Model AGPT-4 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
33
GPT-4 Turbo only
9
MiniMax M2.5 only
38
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 Turbo not benchmarked, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Reasoning, 20.8 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: expert: GPT-4 Turbo 1223 against MiniMax M2.5 1379, 25.9 points apart on a 0 to 100 scale.
Output price
GPT-4 Turbo $30.00 against MiniMax M2.5 $1.20 per million output tokens, 25.0x apart.
Context window
GPT-4 Turbo takes 128K 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-4 TurboBarsMiniMax M2.5Ties
Coding02
Intelligence02
Reasoning04
Math02
Knowledge15
General116
All shared boards231
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4 Turbo and MiniMax M2.5
BenchmarkGPT-4 TurboMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDevNot measured1386Only MiniMax M2.5 measured
AA Coding Index21.5Not measuredOnly GPT-4 Turbo 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
LiveCodeBench (Artificial Analysis run)29.1%Not measuredOnly GPT-4 Turbo 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: coding12681380MiniMax M2.5
LMArena Text: software and IT12671383MiniMax M2.5
LMArena WebDev: ReactNot measured1374Only MiniMax M2.5 measured
LMArena WebDev: HTMLNot measured1414Only MiniMax M2.5 measured
SWE Atlas: Codebase QnANot measured10.3%Only MiniMax M2.5 measured
SWE Atlas: RefactoringNot measured19.5%Only MiniMax M2.5 measured
SWE Atlas: Test WritingNot measured18.6%Only MiniMax M2.5 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4 Turbo and MiniMax M2.5
BenchmarkGPT-4 TurboMiniMax M2.5Leader
AA Intelligence Index7.022.8MiniMax M2.5
Epoch Capabilities Index127.3146.6MiniMax M2.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GPT-4 Turbo and MiniMax M2.5
BenchmarkGPT-4 TurboMiniMax 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 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-4 Turbo and MiniMax M2.5
BenchmarkGPT-4 TurboMiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)Not measured84.8%Only MiniMax M2.5 measured
Humanity's Last Exam (Artificial Analysis run)3.1%20.5%MiniMax M2.5
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
LMArena Text: hard prompts12511372MiniMax M2.5
LMArena Text: expert12231379MiniMax M2.5
LMArena Text: hard prompts in English12661384MiniMax M2.5
Kagi LLM BenchmarkNot measured55.2%Only MiniMax M2.5 measured
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-4 Turbo and MiniMax M2.5
BenchmarkGPT-4 TurboMiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
LMArena Text: math12721378MiniMax M2.5
LMArena Text: mathematical work12681378MiniMax M2.5
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
Knowledge benchmarks for GPT-4 Turbo and MiniMax M2.5
BenchmarkGPT-4 TurboMiniMax M2.5Leader
MMLU ProNot measured80.1%Only MiniMax M2.5 measured
LegalBench (Vals AI)80.5%80.0%GPT-4 Turbo
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)82.0%92.5%MiniMax M2.5
MMLU Pro (Artificial Analysis run)69.4%Not measuredOnly GPT-4 Turbo measured
MMLU81.3%Not measuredOnly GPT-4 Turbo measured
LMArena Text: science12561369MiniMax M2.5
LMArena Text: medicine and healthcare12391357MiniMax M2.5
LMArena Text: legal and government12651366MiniMax M2.5
LMArena Text: business and finance12221356MiniMax M2.5
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GPT-4 Turbo and MiniMax M2.5
BenchmarkGPT-4 TurboMiniMax M2.5Leader
Design Arena: websitesNot measured1222Only MiniMax M2.5 measured
Design Arena: UI componentsNot measured1170Only 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 index116
General benchmarks for GPT-4 Turbo and MiniMax M2.5
BenchmarkGPT-4 TurboMiniMax M2.5Leader
IFBenchNot measured71.6%Only MiniMax M2.5 measured
Long context reasoning (AA-LCR)Not measured73.3%Only MiniMax M2.5 measured
DTBench61.6%Not measuredOnly GPT-4 Turbo measured
LMCA9.8%Not measuredOnly GPT-4 Turbo measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text12721359MiniMax M2.5
LMArena Text: instruction following12491353MiniMax M2.5
LMArena Text: creative writing12681331MiniMax M2.5
LMArena Vision1090Not measuredOnly GPT-4 Turbo measured
LMArena Text: English12911380MiniMax M2.5
LMArena Text: non-English12451338MiniMax M2.5
LMArena Text: Chinese12421393MiniMax M2.5
LMArena Text: German12591361MiniMax M2.5
LMArena Text: Japanese11941171GPT-4 Turbo
LMArena Text: Korean11871233MiniMax M2.5
LMArena Text: French12761363MiniMax M2.5
LMArena Text: Spanish12601353MiniMax M2.5
LMArena Text: Russian12591359MiniMax M2.5
LMArena Text: Polish13021334MiniMax M2.5
LMArena Text: multi-turn12671364MiniMax M2.5
LMArena Text: longer queries12531366MiniMax M2.5
LMArena Text: writing and language12791345MiniMax M2.5
LMArena Text: entertainment and media12581329MiniMax M2.5
LMArena Vision: English1097Not measuredOnly GPT-4 Turbo measured
LMArena Vision: Chinese1045Not measuredOnly GPT-4 Turbo measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4 Turbo and MiniMax M2.5
BenchmarkGPT-4 TurboMiniMax 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 Turbo$0.025Fits 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 Turbo$0.590Fits in one request
MiniMax M2.5$0.019Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-4 Turbo$2.30Exceeds 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 Turbo and MiniMax M2.5
SpecificationOpenAI GPT-4 TurboMiniMax M2.5
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 9, 2024February 12, 2026
Context window128K205K
Input $/Mtok$10.00$0.30
Output $/Mtok$30.00$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it03
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

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

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; GPT-4 Turbo has none, so the two cannot be ranked on coding. Pick GPT-4 Turbo for work measured by LegalBench (Vals AI) or LMArena Text: Japanese, where it leads.

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

GPT-4 Turbo costs $10.00 per million input tokens and $30.00 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 Turbo or MiniMax M2.5?

MiniMax M2.5, with 205K tokens against 128K.

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

33 benchmarks have a result for both models as of October 23, 2026. GPT-4 Turbo'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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