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GPT-4.1 Nano vs MiniMax M2.5

Updated October 21, 2026. 48 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4.1 Nano Replace MiniMax M2.5
GPT-4.1 NanoOpenAI
Coding
8.9
Overall
7.8
Output $/M
$0.40
1
MiniMax M2.5MiniMax
Coding
59.4
Overall
22.8
Output $/M
$0.95
47
vs boards won of 48 shared

Decision reading

Pick MiniMax M2.5 for coding: it scores 59.4 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano.

Pick GPT-4.1 Nano when output tokens cost 2.4x less, or when the context window is larger, 1.05M against 205K tokens.

Model AGPT-4.1 NanoOpenAI8.9/1001 independent benchmarkNo cost per solved taskModel BMiniMax M2.5MiniMax59.4/1002 independent benchmarks$0.62 per solved task
Shared results
48
GPT-4.1 Nano only
21
MiniMax M2.5 only
19
Like-for-like categories
8 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-4.1 Nano 8.9 from 1 benchmark, MiniMax M2.5 59.4 from 2 benchmarks.
Widest category
Agentic work, 78.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-4.1 Nano 17.3% against MiniMax M2.5 95.3%, 78.1 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against MiniMax M2.5 $0.95 per million output tokens, 2.4x apart.
Context window
GPT-4.1 Nano takes 1.05M 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-4.1 NanoBarsMiniMax M2.5Ties
Coding04
Intelligence02
Agentic work01
Reasoning08
Math03
Knowledge09
Web design06
General114
All shared boards147
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4.1 Nano and MiniMax M2.5
BenchmarkGPT-4.1 NanoMiniMax M2.5Leader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
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 Index11.1Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Vals AI)42.7%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)32.6%Not measuredOnly GPT-4.1 Nano measured
Terminal-Bench Hard (Artificial Analysis run)3.8%34.8%MiniMax M2.5
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
ALE-BenchNot measured618.2Only MiniMax M2.5 measured
LMArena Text: coding13061380MiniMax M2.5
LMArena Text: software and IT13051383MiniMax 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 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Nano and MiniMax M2.5
BenchmarkGPT-4.1 NanoMiniMax M2.5Leader
AA Intelligence Index7.822.8MiniMax M2.5
Epoch Capabilities Index129.5146.6MiniMax M2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Nano and MiniMax M2.5
BenchmarkGPT-4.1 NanoMiniMax M2.5Leader
τ²-Bench Telecom17.3%95.3%MiniMax M2.5
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for GPT-4.1 Nano and MiniMax M2.5
BenchmarkGPT-4.1 NanoMiniMax M2.5Leader
GPQA Diamond50.8%82.1%MiniMax M2.5
MMMU Pro (Vals AI)55.0%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)51.2%84.8%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)3.8%20.5%MiniMax M2.5
GPQA Diamond (Epoch AI run)48.9%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI0.0%63.7%MiniMax M2.5
ARC-AGI-20.0%4.9%MiniMax M2.5
Chess puzzles0.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts12861372MiniMax M2.5
LMArena Text: expert12711378MiniMax M2.5
LMArena Text: hard prompts in English12931384MiniMax M2.5
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4.1 Nano and MiniMax M2.5
BenchmarkGPT-4.1 NanoMiniMax M2.5Leader
AIME26.5%88.8%MiniMax M2.5
MATH 500 (Vals AI)80.2%Not measuredOnly GPT-4.1 Nano measured
MGSM (Vals AI)69.3%Not measuredOnly GPT-4.1 Nano measured
AA Math Index24.0Not measuredOnly GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)24.0%Not measuredOnly GPT-4.1 Nano measured
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741378MiniMax M2.5
LMArena Text: mathematical work12741378MiniMax M2.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for GPT-4.1 Nano and MiniMax M2.5
BenchmarkGPT-4.1 NanoMiniMax M2.5Leader
MMLU Pro63.5%80.1%MiniMax M2.5
LegalBench (Vals AI)61.1%80.0%MiniMax M2.5
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)42.1%59.6%MiniMax M2.5
TaxEval (Vals AI)60.8%68.2%MiniMax M2.5
MortgageTax (Vals AI)52.8%Not measuredOnly GPT-4.1 Nano measured
MedQA (Vals AI)68.2%92.5%MiniMax M2.5
MMLU Pro (Artificial Analysis run)65.7%Not measuredOnly GPT-4.1 Nano measured
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971369MiniMax M2.5
LMArena Text: medicine and healthcare12761357MiniMax M2.5
LMArena Text: legal and government13001366MiniMax M2.5
LMArena Text: business and finance12671356MiniMax M2.5
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 Nano and MiniMax M2.5
BenchmarkGPT-4.1 NanoMiniMax M2.5Leader
Design Arena: websites9731222MiniMax M2.5
Design Arena: UI components9161172MiniMax M2.5
Design Arena: game dev9711176MiniMax M2.5
Design Arena: data viz8911171MiniMax M2.5
Design Arena: 3D9251170MiniMax M2.5
Design Arena: all code categories9631207MiniMax M2.5
Design Arena: SVGNot measured1147Only 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 index114
General benchmarks for GPT-4.1 Nano and MiniMax M2.5
BenchmarkGPT-4.1 NanoMiniMax M2.5Leader
IFBench32.0%71.6%MiniMax M2.5
Long context reasoning (AA-LCR)20.3%73.3%MiniMax M2.5
DTBench52.5%Not measuredOnly GPT-4.1 Nano measured
LMCA5.5%Not measuredOnly GPT-4.1 Nano measured
Fiction.LiveBench25.0%Not measuredOnly GPT-4.1 Nano measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text12851359MiniMax M2.5
LMArena Text: instruction following12661353MiniMax M2.5
LMArena Text: creative writing12601331MiniMax M2.5
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031380MiniMax M2.5
LMArena Text: non-English12601338MiniMax M2.5
LMArena Text: Chinese12701393MiniMax M2.5
LMArena Text: German12881361MiniMax M2.5
LMArena Text: Japanese11981171GPT-4.1 Nano
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: Russian12611359MiniMax M2.5
LMArena Text: PolishNot measured1334Only MiniMax M2.5 measured
LMArena Text: multi-turn12771364MiniMax M2.5
LMArena Text: longer queries12831366MiniMax M2.5
LMArena Text: writing and language12611345MiniMax M2.5
LMArena Text: entertainment and media12431329MiniMax M2.5
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Nano and MiniMax M2.5
BenchmarkGPT-4.1 NanoMiniMax 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-4.1 Nano$0.0003Fits in one request
MiniMax M2.5$0.0007Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Nano$0.0062Fits in one request
MiniMax M2.5$0.016Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Nano$0.024Fits in one request
MiniMax M2.5$0.064Exceeds the context window

GPT-4.1 Nano 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-4.1 Nano and MiniMax M2.5
SpecificationOpenAI GPT-4.1 NanoMiniMax M2.5
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025February 12, 2026
Context window1.05M205K
Input $/Mtok$0.10$0.27
Output $/Mtok$0.40$0.95
Coding index8.959.4
Independent measurements behind it12
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than MiniMax M2.5 for coding?

Pick MiniMax M2.5 for coding: it scores 59.4 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano. Pick GPT-4.1 Nano when output tokens cost 2.4x less, or when the context window is larger, 1.05M against 205K tokens.

Which is cheaper, GPT-4.1 Nano or MiniMax M2.5?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; MiniMax M2.5 costs $0.27 and $0.95. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, GPT-4.1 Nano or MiniMax M2.5?

GPT-4.1 Nano, with 1.05M tokens against 205K.

How many benchmarks is the GPT-4.1 Nano vs MiniMax M2.5 comparison based on?

48 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Nano's coding index rests on 1 independent benchmark and MiniMax M2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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