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GPT-5 Nano vs MiniMax M2.7

MiniMax M2.7 leads GPT-5 Nano on the Artificial Analysis Intelligence Index, 22.8 to 13.0, and GPT-5 Nano costs 3.0x less per output token ($0.40 vs $1.20 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Replace GPT-5 Nano Replace MiniMax M2.7
GPT-5 NanoOpenAI
Coding
No data
Overall
35.6
Output $/M
$0.40
3
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
50
vs boards won of 53 shared

GPT-5 Nano or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; GPT-5 Nano has none, so the two cannot be ranked on coding.

Pick GPT-5 Nano for output tokens 3.0x cheaper ($0.40 vs $1.20 per million) and a lower cost per solved task ($0.109 against $0.64).

Model AGPT-5 NanoOpenAINot benchmarkedNo coding benchmark$0.109 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
53
GPT-5 Nano only
35
MiniMax M2.7 only
21
Like-for-like categories
8 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 Nano not benchmarked, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 48.2 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-5 Nano 36.5% against MiniMax M2.7 84.8%, 48.2 points apart on a 0 to 100 scale.
Output price
GPT-5 Nano $0.40 against MiniMax M2.7 $1.20 per million output tokens, 3.0x apart.
Context window
GPT-5 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 NanoBarsMiniMax M2.7Ties
Coding15
Intelligence02
Agentic work01
Reasoning06
Math13
Knowledge18
Web design06
General019
All shared boards350
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
Coding benchmarks for GPT-5 Nano and MiniMax M2.7
BenchmarkGPT-5 NanoMiniMax M2.7Leader
SWE-bench Verified34.8%Not measuredOnly GPT-5 Nano measured
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)70.2%79.9%MiniMax M2.7
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)78.9%Not measuredOnly GPT-5 Nano measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)17.4%39.4%MiniMax M2.7
Terminal-Bench21.8%45.1%MiniMax M2.7
WeirdML38.1%37.0%GPT-5 Nano
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding13511454MiniMax M2.7
LMArena Text: software and IT13451446MiniMax 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 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5 Nano and MiniMax M2.7
BenchmarkGPT-5 NanoMiniMax M2.7Leader
AA Intelligence Index13.022.8MiniMax M2.7
Epoch Capabilities Index139.2145.8MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 Nano and MiniMax M2.7
BenchmarkGPT-5 NanoMiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom36.5%84.8%MiniMax M2.7
Berkeley Function Calling Leaderboard (BFCL)51.4%Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GPT-5 Nano and MiniMax M2.7
BenchmarkGPT-5 NanoMiniMax M2.7Leader
GPQA Diamond63.4%86.6%MiniMax M2.7
MMMU Pro (Vals AI)70.9%Not measuredOnly GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)67.6%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)9.5%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)69.4%Not measuredOnly GPT-5 Nano measured
ARC-AGI20.7%Not measuredOnly GPT-5 Nano measured
ARC-AGI-22.6%Not measuredOnly GPT-5 Nano measured
Chess puzzles22.0%Not measuredOnly GPT-5 Nano measured
Mystery game puzzles9.0%Not measuredOnly GPT-5 Nano measured
VPCT37.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: hard prompts13281422MiniMax M2.7
LMArena Text: expert13211443MiniMax M2.7
LMArena Text: hard prompts in English13381441MiniMax M2.7
LMArena Vision: diagrams1141Not measuredOnly GPT-5 Nano measured
LMArena Vision: homework1157Not measuredOnly GPT-5 Nano measured
Kagi LLM Benchmark62.2%Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index13
Math benchmarks for GPT-5 Nano and MiniMax M2.7
BenchmarkGPT-5 NanoMiniMax M2.7Leader
AIME81.2%91.0%MiniMax M2.7
MATH 500 (Vals AI)93.8%Not measuredOnly GPT-5 Nano measured
MGSM (Vals AI)89.3%Not measuredOnly GPT-5 Nano measured
AA Math Index83.7Not measuredOnly GPT-5 Nano measured
AIME 2025 (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Nano measured
OTIS Mock AIME81.1%Not measuredOnly GPT-5 Nano measured
FrontierMath, tiers 1 to 320.0%Not measuredOnly GPT-5 Nano measured
FrontierMath, tier 42.4%Not measuredOnly GPT-5 Nano measured
ProofBench12.0%3.0%GPT-5 Nano
MATH level 595.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: math13171421MiniMax M2.7
LMArena Text: mathematical work13261437MiniMax M2.7
MathArena12.8%Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index18
Knowledge benchmarks for GPT-5 Nano and MiniMax M2.7
BenchmarkGPT-5 NanoMiniMax M2.7Leader
MMLU Pro76.1%80.4%MiniMax M2.7
LegalBench (Vals AI)50.1%84.0%MiniMax M2.7
CaseLaw (Vals AI)52.6%60.9%MiniMax M2.7
CorpFin (Vals AI)Not measured61.2%Only MiniMax M2.7 measured
TaxEval (Vals AI)67.4%66.6%GPT-5 Nano
MortgageTax (Vals AI)53.6%Not measuredOnly GPT-5 Nano measured
MedQA (Vals AI)93.3%Not measuredOnly GPT-5 Nano measured
MedCode (Vals AI)30.4%34.4%MiniMax M2.7
MMLU Pro (Artificial Analysis run)78.0%Not measuredOnly GPT-5 Nano measured
SimpleQA Verified11.7%Not measuredOnly GPT-5 Nano measured
LMArena Text: science13181416MiniMax M2.7
LMArena Text: medicine and healthcare13351409MiniMax M2.7
LMArena Text: legal and government12981403MiniMax M2.7
LMArena Text: business and finance13111407MiniMax M2.7
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-5 Nano and MiniMax M2.7
BenchmarkGPT-5 NanoMiniMax M2.7Leader
Design Arena: websites11011242MiniMax M2.7
Design Arena: UI components10641207MiniMax M2.7
Design Arena: game dev10441209MiniMax M2.7
Design Arena: data viz10561233MiniMax M2.7
Design Arena: 3D9651194MiniMax M2.7
Design Arena: all code categories10841233MiniMax M2.7
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 index019
General benchmarks for GPT-5 Nano and MiniMax M2.7
BenchmarkGPT-5 NanoMiniMax M2.7Leader
SAGE (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MedScribe (Vals AI)72.9%79.9%MiniMax M2.7
IFBench67.6%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)45.0%78.3%MiniMax M2.7
DTBench62.7%Not measuredOnly GPT-5 Nano measured
LMCA7.9%Not measuredOnly GPT-5 Nano measured
Fiction.LiveBench44.4%Not measuredOnly GPT-5 Nano measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text13201405MiniMax M2.7
LMArena Text: instruction following13061405MiniMax M2.7
LMArena Text: creative writing12491354MiniMax M2.7
LMArena Vision1159Not measuredOnly GPT-5 Nano measured
LMArena Text: English13211426MiniMax M2.7
LMArena Text: non-English13131382MiniMax M2.7
LMArena Text: Chinese13561442MiniMax M2.7
LMArena Text: German13271398MiniMax M2.7
LMArena Text: Japanese12271260MiniMax M2.7
LMArena Text: Korean12691314MiniMax M2.7
LMArena Text: FrenchNot measured1424Only MiniMax M2.7 measured
LMArena Text: Spanish13601402MiniMax M2.7
LMArena Text: Russian12961383MiniMax M2.7
LMArena Text: Polish13141387MiniMax M2.7
LMArena Text: multi-turn13111412MiniMax M2.7
LMArena Text: longer queries13121418MiniMax M2.7
LMArena Text: writing and language12831376MiniMax M2.7
LMArena Text: entertainment and media12681360MiniMax M2.7
LMArena Vision: English1170Not measuredOnly GPT-5 Nano measured
LMArena Vision: Chinese1176Not measuredOnly GPT-5 Nano measured
LMArena Vision: reading text1152Not measuredOnly GPT-5 Nano measured
LMArena Vision: humor1110Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 Nano and MiniMax M2.7
BenchmarkGPT-5 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 Nano$0.0003Fits in one request
MiniMax M2.7$0.0009Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5 Nano$0.0037Fits in one request
MiniMax M2.7$0.019Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5 Nano$0.014Fits in one request
MiniMax M2.7$0.072Exceeds the context window

GPT-5 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 Nano and MiniMax M2.7
SpecificationOpenAI GPT-5 NanoMiniMax M2.7
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025March 18, 2026
Context window400K205K
Input $/Mtok$0.05$0.30
Output $/Mtok$0.40$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it03
Cost per solved task$0.109$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Nano better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; GPT-5 Nano has none, so the two cannot be ranked on coding. Pick GPT-5 Nano for output tokens 3.0x cheaper ($0.40 vs $1.20 per million) and a lower cost per solved task ($0.109 against $0.64).

Which is cheaper, GPT-5 Nano or MiniMax M2.7?

GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GPT-5 Nano costs $0.109 and MiniMax M2.7 $0.64.

Which has the bigger context window, GPT-5 Nano or MiniMax M2.7?

GPT-5 Nano, with 400K tokens against 205K.

How many benchmarks is the GPT-5 Nano vs MiniMax M2.7 comparison based on?

53 benchmarks have a result for both models as of October 22, 2026. GPT-5 Nano's coding index rests on 0 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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