Enter opens the highlighted result. Esc closes.

GPT-4o-mini vs MiniMax M2.5

MiniMax M2.5 leads GPT-4o-mini on the Artificial Analysis Intelligence Index, 22.8 to 6.7, and GPT-4o-mini costs 2.0x less per output token ($0.60 vs $1.20 per million). Updated October 22, 2026; 14 benchmarks have a result for both.

Replace GPT-4o-mini Replace MiniMax M2.5
GPT-4o-miniOpenAI
Coding
No data
Overall
No data
Output $/M
$0.60
0
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
14
vs boards won of 14 shared

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

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

Pick GPT-4o-mini for output tokens 2.0x cheaper ($0.60 vs $1.20 per million).

Model AGPT-4o-miniOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
14
GPT-4o-mini only
15
MiniMax M2.5 only
54
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-mini not benchmarked, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Math, 77.3 points apart on average over 1 shared benchmark.
Widest single gap
AIME: GPT-4o-mini 11.5% against MiniMax M2.5 88.8%, 77.3 points apart on a 0 to 100 scale.
Output price
GPT-4o-mini $0.60 against MiniMax M2.5 $1.20 per million output tokens, 2.0x apart.
Context window
GPT-4o-mini 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-4o-miniBarsMiniMax M2.5Ties
Coding01
Intelligence02
Reasoning05
Math01
Knowledge04
General01
All shared boards014
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for GPT-4o-mini and MiniMax M2.5
BenchmarkGPT-4o-miniMiniMax 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 Index11.4Not measuredOnly GPT-4o-mini measured
LiveCodeBench (Vals AI)26.4%79.2%MiniMax M2.5
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)23.4%Not measuredOnly GPT-4o-mini 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: codingNot measured1380Only MiniMax M2.5 measured
LMArena Text: software and ITNot measured1383Only MiniMax M2.5 measured
LMArena WebDev: ReactNot measured1374Only MiniMax M2.5 measured
LMArena WebDev: HTMLNot measured1414Only MiniMax M2.5 measured
SciCode1.5%Not measuredOnly GPT-4o-mini 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-4o-mini and MiniMax M2.5
BenchmarkGPT-4o-miniMiniMax M2.5Leader
AA Intelligence Index6.722.8MiniMax M2.5
Epoch Capabilities Index126.5146.6MiniMax M2.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GPT-4o-mini and MiniMax M2.5
BenchmarkGPT-4o-miniMiniMax 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 index05
Reasoning benchmarks for GPT-4o-mini and MiniMax M2.5
BenchmarkGPT-4o-miniMiniMax M2.5Leader
GPQA Diamond44.2%82.1%MiniMax M2.5
MMMU Pro (Vals AI)56.6%Not measuredOnly GPT-4o-mini measured
GPQA Diamond (Artificial Analysis run)42.6%84.8%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)4.2%20.5%MiniMax M2.5
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-20.0%4.9%MiniMax M2.5
LMArena Text: hard promptsNot measured1372Only MiniMax M2.5 measured
LMArena Text: expertNot measured1378Only MiniMax M2.5 measured
LMArena Text: hard prompts in EnglishNot measured1384Only MiniMax M2.5 measured
Kagi LLM Benchmark28.8%55.2%MiniMax M2.5
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for GPT-4o-mini and MiniMax M2.5
BenchmarkGPT-4o-miniMiniMax M2.5Leader
AIME11.5%88.8%MiniMax M2.5
MATH 500 (Vals AI)72.6%Not measuredOnly GPT-4o-mini measured
MGSM (Vals AI)86.2%Not measuredOnly GPT-4o-mini measured
AA Math Index14.7Not measuredOnly GPT-4o-mini measured
AIME 2025 (Artificial Analysis run)14.7%Not measuredOnly GPT-4o-mini measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
GSM8K91.3%Not measuredOnly GPT-4o-mini measured
LMArena Text: mathNot measured1378Only MiniMax M2.5 measured
LMArena Text: mathematical workNot measured1378Only MiniMax M2.5 measured
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-mini and MiniMax M2.5
BenchmarkGPT-4o-miniMiniMax M2.5Leader
MMLU Pro62.7%80.1%MiniMax M2.5
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)45.5%59.6%MiniMax M2.5
TaxEval (Vals AI)60.5%68.2%MiniMax M2.5
MortgageTax (Vals AI)54.5%Not measuredOnly GPT-4o-mini measured
MedQA (Vals AI)72.4%92.5%MiniMax M2.5
MMLU Pro (Artificial Analysis run)64.8%Not measuredOnly GPT-4o-mini measured
MMLU81.8%Not measuredOnly GPT-4o-mini measured
LMArena Text: scienceNot measured1369Only MiniMax M2.5 measured
LMArena Text: medicine and healthcareNot measured1357Only MiniMax M2.5 measured
LMArena Text: legal and governmentNot measured1366Only MiniMax M2.5 measured
LMArena Text: business and financeNot measured1356Only MiniMax M2.5 measured
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-4o-mini and MiniMax M2.5
BenchmarkGPT-4o-miniMiniMax 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 index01
General benchmarks for GPT-4o-mini and MiniMax M2.5
BenchmarkGPT-4o-miniMiniMax M2.5Leader
IFBench31.0%71.6%MiniMax M2.5
Long context reasoning (AA-LCR)Not measured73.3%Only MiniMax M2.5 measured
DTBench54.4%Not measuredOnly GPT-4o-mini measured
LMCA10.4%Not measuredOnly GPT-4o-mini measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
PIQA88.7%Not measuredOnly GPT-4o-mini measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena TextNot measured1359Only MiniMax M2.5 measured
LMArena Text: instruction followingNot measured1353Only MiniMax M2.5 measured
LMArena Text: creative writingNot measured1331Only MiniMax M2.5 measured
LMArena Text: EnglishNot measured1380Only MiniMax M2.5 measured
LMArena Text: non-EnglishNot measured1338Only MiniMax M2.5 measured
LMArena Text: ChineseNot measured1393Only MiniMax M2.5 measured
LMArena Text: GermanNot measured1361Only MiniMax M2.5 measured
LMArena Text: JapaneseNot measured1171Only MiniMax M2.5 measured
LMArena Text: KoreanNot measured1233Only MiniMax M2.5 measured
LMArena Text: FrenchNot measured1363Only MiniMax M2.5 measured
LMArena Text: SpanishNot measured1353Only MiniMax M2.5 measured
LMArena Text: RussianNot measured1359Only MiniMax M2.5 measured
LMArena Text: PolishNot measured1334Only MiniMax M2.5 measured
LMArena Text: multi-turnNot measured1364Only MiniMax M2.5 measured
LMArena Text: longer queriesNot measured1366Only MiniMax M2.5 measured
LMArena Text: writing and languageNot measured1345Only MiniMax M2.5 measured
LMArena Text: entertainment and mediaNot measured1329Only MiniMax M2.5 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-4o-mini and MiniMax M2.5
BenchmarkGPT-4o-miniMiniMax 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-4o-mini$0.0004Fits in one request
MiniMax M2.5$0.0009Fits in one request

GPT-4o-mini costs less

Repository review

50K input + 3K output tokens

GPT-4o-mini$0.0093Fits in one request
MiniMax M2.5$0.019Fits in one request

GPT-4o-mini costs less

Agent loop

200K input + 10K output tokens

GPT-4o-mini$0.036Exceeds the context window
MiniMax M2.5$0.072Exceeds the context window

GPT-4o-mini 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-mini and MiniMax M2.5
SpecificationOpenAI GPT-4o-miniMiniMax M2.5
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedJuly 18, 2024February 12, 2026
Context window128K205K
Input $/Mtok$0.15$0.30
Output $/Mtok$0.60$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it03
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

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

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; GPT-4o-mini has none, so the two cannot be ranked on coding. Pick GPT-4o-mini for output tokens 2.0x cheaper ($0.60 vs $1.20 per million).

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

GPT-4o-mini costs $0.15 per million input tokens and $0.60 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-4o-mini or MiniMax M2.5?

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

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

14 benchmarks have a result for both models as of October 22, 2026. GPT-4o-mini'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.

Compare next