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GPT-5.4 Nano vs MiniMax M2.7

GPT-5.4 Nano leads MiniMax M2.7 on coding, 44.8 to 36.2 on the Vibe Coding Index, at about the same output price ($1.25 vs $1.20 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace MiniMax M2.7
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
17
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
42
vs boards won of 60 shared, 1 tied

GPT-5.4 Nano or MiniMax M2.7: which to pick

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 36.2 for MiniMax M2.7, though on 2 benchmarks against 3.

Pick MiniMax M2.7 for output tokens 1.0x cheaper ($1.20 vs $1.25 per million) and work measured by SWE-bench Verified (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
60
GPT-5.4 Nano only
25
MiniMax M2.7 only
14
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-5.4 Nano 44.8 from 2 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Coding, 7.2 points apart on average over 12 shared benchmarks.
Widest single gap
Excel Modeling Benchmark (Vals AI): GPT-5.4 Nano 44.8% against MiniMax M2.7 28.4%, 16.3 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against MiniMax M2.7 $1.20 per million output tokens, 1.0x apart.
Context window
GPT-5.4 Nano takes 400K tokens, MiniMax M2.7 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-5.4 NanoBarsMiniMax M2.7Ties
Coding75
Intelligence11
Agentic work33
Reasoning06
Math13
Knowledge271 tie
General317
All shared boards17421 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index75
Coding benchmarks for GPT-5.4 Nano and MiniMax M2.7
BenchmarkGPT-5.4 NanoMiniMax M2.7Leader
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding Index56.152.6GPT-5.4 Nano
LiveCodeBench (Vals AI)84.0%79.9%GPT-5.4 Nano
SWE-bench Verified (Vals AI)69.8%73.8%MiniMax M2.7
Vibe Code Bench (Vals AI)26.1%11.9%GPT-5.4 Nano
Code migration (Vals AI)14.5%8.7%GPT-5.4 Nano
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)41.6%48.7%MiniMax M2.7
SciCode47.2%50.1%MiniMax M2.7
Terminal-Bench Hard (Artificial Analysis run)42.4%39.4%GPT-5.4 Nano
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdML49.2%37.0%GPT-5.4 Nano
ALE-Bench1004.5599.3GPT-5.4 Nano
LMArena Text: coding14041454MiniMax M2.7
LMArena Text: software and IT14021446MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1401Only MiniMax M2.7 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-5.4 Nano and MiniMax M2.7
BenchmarkGPT-5.4 NanoMiniMax M2.7Leader
AA Intelligence Index20.722.8MiniMax M2.7
Epoch Capabilities Index146.0145.8GPT-5.4 Nano
Agentic workLike-for-likePublic boards, shown as published, kept out of the index33
Agentic work benchmarks for GPT-5.4 Nano and MiniMax M2.7
BenchmarkGPT-5.4 NanoMiniMax M2.7Leader
AA Agentic Index16.015.3GPT-5.4 Nano
Finance Agent (Vals AI)38.2%27.9%GPT-5.4 Nano
Tax Agent Bench (Vals AI)5.0%6.9%MiniMax M2.7
Legal Research Bench (Vals AI)6.3%10.6%MiniMax M2.7
Excel Modeling Benchmark (Vals AI)44.8%28.4%GPT-5.4 Nano
τ²-Bench Telecom76.0%84.8%MiniMax M2.7
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GPT-5.4 Nano and MiniMax M2.7
BenchmarkGPT-5.4 NanoMiniMax M2.7Leader
GPQA Diamond77.5%86.6%MiniMax M2.7
MMMU Pro (Vals AI)73.6%Not measuredOnly GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)81.7%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)28.3%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)78.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI51.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI-25.7%Not measuredOnly GPT-5.4 Nano measured
Chess puzzles45.0%Not measuredOnly GPT-5.4 Nano measured
Mystery game puzzles9.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts13811422MiniMax M2.7
LMArena Text: expert13961443MiniMax M2.7
LMArena Text: hard prompts in English13871441MiniMax M2.7
LMArena Vision: diagrams1210Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: homework1225Not measuredOnly GPT-5.4 Nano measured
Kagi LLM Benchmark39.7%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index13
Math benchmarks for GPT-5.4 Nano and MiniMax M2.7
BenchmarkGPT-5.4 NanoMiniMax M2.7Leader
AIME88.8%91.0%MiniMax M2.7
OTIS Mock AIME87.8%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tiers 1 to 344.9%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5.4 Nano measured
ProofBench5.0%3.0%GPT-5.4 Nano
LMArena Text: math14051421MiniMax M2.7
LMArena Text: mathematical work14091437MiniMax M2.7
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index27
Knowledge benchmarks for GPT-5.4 Nano and MiniMax M2.7
BenchmarkGPT-5.4 NanoMiniMax M2.7Leader
MMLU Pro77.2%80.4%MiniMax M2.7
LegalBench (Vals AI)77.9%84.0%MiniMax M2.7
CaseLaw (Vals AI)51.9%60.9%MiniMax M2.7
CorpFin (Vals AI)61.2%61.2%Tie
TaxEval (Vals AI)67.4%66.6%GPT-5.4 Nano
MortgageTax (Vals AI)59.1%Not measuredOnly GPT-5.4 Nano measured
MedCode (Vals AI)41.0%34.4%GPT-5.4 Nano
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: science13741416MiniMax M2.7
LMArena Text: medicine and healthcare13691409MiniMax M2.7
LMArena Text: legal and government13681403MiniMax M2.7
LMArena Text: business and finance13661407MiniMax M2.7
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 Nano and MiniMax M2.7
BenchmarkGPT-5.4 NanoMiniMax M2.7Leader
Design Arena: websitesNot measured1242Only MiniMax M2.7 measured
Design Arena: UI componentsNot measured1207Only MiniMax M2.7 measured
Design Arena: game devNot measured1209Only MiniMax M2.7 measured
Design Arena: data vizNot measured1233Only MiniMax M2.7 measured
Design Arena: 3DNot measured1194Only MiniMax M2.7 measured
Design Arena: all code categoriesNot measured1233Only MiniMax M2.7 measured
Design Arena: SVGNot measured1137Only MiniMax M2.7 measured
Design Arena: ASCII artNot measured1136Only MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index317
General benchmarks for GPT-5.4 Nano and MiniMax M2.7
BenchmarkGPT-5.4 NanoMiniMax M2.7Leader
SAGE (Vals AI)38.1%Not measuredOnly GPT-5.4 Nano measured
MedScribe (Vals AI)77.1%79.9%MiniMax M2.7
Vals Multimodal Index47.6%Not measuredOnly GPT-5.4 Nano measured
IFBench75.9%75.7%GPT-5.4 Nano
Long context reasoning (AA-LCR)76.7%78.3%MiniMax M2.7
DTBench80.3%Not measuredOnly GPT-5.4 Nano measured
LMCA36.9%Not measuredOnly GPT-5.4 Nano measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text13721405MiniMax M2.7
LMArena Text: instruction following13621405MiniMax M2.7
LMArena Text: creative writing13151354MiniMax M2.7
LMArena Vision1196Not measuredOnly GPT-5.4 Nano measured
LMArena Text: English13811426MiniMax M2.7
LMArena Text: non-English13591382MiniMax M2.7
LMArena Text: Chinese13911442MiniMax M2.7
LMArena Text: German13681398MiniMax M2.7
LMArena Text: Japanese13431260GPT-5.4 Nano
LMArena Text: Korean13211314GPT-5.4 Nano
LMArena Text: French13951424MiniMax M2.7
LMArena Text: Spanish13711402MiniMax M2.7
LMArena Text: Russian13631383MiniMax M2.7
LMArena Text: Polish13661387MiniMax M2.7
LMArena Text: multi-turn13821412MiniMax M2.7
LMArena Text: longer queries13651418MiniMax M2.7
LMArena Text: writing and language13381376MiniMax M2.7
LMArena Text: entertainment and media13251360MiniMax M2.7
LMArena Vision: English1202Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: Chinese1232Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: reading text1204Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: humor1161Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: recognizing things1141Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: creative writing1159Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Nano and MiniMax M2.7
BenchmarkGPT-5.4 NanoMiniMax M2.7Leader
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-5.4 Nano$0.0008Fits in one request
MiniMax M2.7$0.0009Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request
MiniMax M2.7$0.019Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
MiniMax M2.7$0.072Exceeds the context window

GPT-5.4 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-5.4 Nano and MiniMax M2.7
SpecificationOpenAI GPT-5.4 NanoMiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026March 18, 2026
Context window400K205K
Input $/Mtok$0.20$0.30
Output $/Mtok$1.25$1.20
Coding index44.836.2
Independent measurements behind it23
Cost per solved task$0.14$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Nano better than MiniMax M2.7 for coding?

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 36.2 for MiniMax M2.7, though on 2 benchmarks against 3. Pick MiniMax M2.7 for output tokens 1.0x cheaper ($1.20 vs $1.25 per million) and work measured by SWE-bench Verified (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Which is cheaper, GPT-5.4 Nano or MiniMax M2.7?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5.4 Nano costs $0.14 and MiniMax M2.7 $0.64.

Which has the bigger context window, GPT-5.4 Nano or MiniMax M2.7?

GPT-5.4 Nano, with 400K tokens against 205K.

How many benchmarks is the GPT-5.4 Nano vs MiniMax M2.7 comparison based on?

60 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Nano's coding index rests on 2 independent benchmarks and MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

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