Enter opens the highlighted result. Esc closes.

GPT-4.1 Nano vs MiniMax M2.1

MiniMax M2.1 leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 20.9 to 7.8, and GPT-4.1 Nano costs 3.0x less per output token ($0.40 vs $1.20 per million). Updated October 23, 2026; 27 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace MiniMax M2.1
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
MiniMax M2.1MiniMax
Coding
No data
Overall
No data
Output $/M
$1.20
27
vs boards won of 27 shared

GPT-4.1 Nano or MiniMax M2.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4.1 Nano for output tokens 3.0x cheaper ($0.40 vs $1.20 per million) and a larger context window (1.05M against 205K tokens).

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.1MiniMaxNot benchmarked1 independent benchmark$0.59 per solved task
Shared results
27
GPT-4.1 Nano only
44
MiniMax M2.1 only
7
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-4.1 Nano not benchmarked, MiniMax M2.1 not benchmarked.
Widest category
Agentic work, 68.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-4.1 Nano 17.3% against MiniMax M2.1 85.4%, 68.1 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against MiniMax M2.1 $1.20 per million output tokens, 3.0x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, MiniMax M2.1 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 M2.1Ties
Coding03
Intelligence01
Agentic work01
Reasoning03
Math05
Knowledge06
Web design06
General02
All shared boards027
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4.1 Nano and MiniMax M2.1
BenchmarkGPT-4.1 NanoMiniMax M2.1Leader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
AA Coding Index11.1Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Vals AI)42.7%81.8%MiniMax M2.1
SWE-bench Verified (Vals AI)Not measured74.8%Only MiniMax M2.1 measured
LiveCodeBench (Artificial Analysis run)32.6%81.0%MiniMax M2.1
Terminal-Bench Hard (Artificial Analysis run)3.8%28.8%MiniMax M2.1
Terminal-BenchNot measured36.6%Only MiniMax M2.1 measured
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
ALE-BenchNot measured623.8Only MiniMax M2.1 measured
LMArena Text: coding1305Not measuredOnly GPT-4.1 Nano measured
LMArena Text: software and IT1305Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 Nano and MiniMax M2.1
BenchmarkGPT-4.1 NanoMiniMax M2.1Leader
AA Intelligence Index7.820.9MiniMax M2.1
Epoch Capabilities Index129.5Not measuredOnly GPT-4.1 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Nano and MiniMax M2.1
BenchmarkGPT-4.1 NanoMiniMax M2.1Leader
τ²-Bench Telecom17.3%85.4%MiniMax M2.1
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for GPT-4.1 Nano and MiniMax M2.1
BenchmarkGPT-4.1 NanoMiniMax M2.1Leader
GPQA Diamond50.8%78.5%MiniMax M2.1
MMMU Pro (Vals AI)55.0%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)51.2%83.0%MiniMax M2.1
Humanity's Last Exam (Artificial Analysis run)3.8%23.2%MiniMax M2.1
GPQA Diamond (Epoch AI run)48.9%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI0.0%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Nano measured
Chess puzzles0.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts1286Not measuredOnly GPT-4.1 Nano measured
LMArena Text: expert1272Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts in English1292Not measuredOnly GPT-4.1 Nano measured
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for GPT-4.1 Nano and MiniMax M2.1
BenchmarkGPT-4.1 NanoMiniMax M2.1Leader
AIME26.5%77.9%MiniMax M2.1
MATH 500 (Vals AI)80.2%89.0%MiniMax M2.1
MGSM (Vals AI)69.3%87.8%MiniMax M2.1
AA Math Index24.082.7MiniMax M2.1
AIME 2025 (Artificial Analysis run)24.0%82.7%MiniMax M2.1
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math1274Not measuredOnly GPT-4.1 Nano measured
LMArena Text: mathematical work1274Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for GPT-4.1 Nano and MiniMax M2.1
BenchmarkGPT-4.1 NanoMiniMax M2.1Leader
MMLU Pro63.5%87.0%MiniMax M2.1
LegalBench (Vals AI)61.1%75.5%MiniMax M2.1
CaseLaw (Vals AI)Not measured55.8%Only MiniMax M2.1 measured
CorpFin (Vals AI)42.1%58.9%MiniMax M2.1
TaxEval (Vals AI)60.8%66.3%MiniMax M2.1
MortgageTax (Vals AI)52.8%Not measuredOnly GPT-4.1 Nano measured
MedQA (Vals AI)68.2%91.2%MiniMax M2.1
MedCode (Vals AI)Not measured34.1%Only MiniMax M2.1 measured
MMLU Pro (Artificial Analysis run)65.7%87.5%MiniMax M2.1
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science1297Not measuredOnly GPT-4.1 Nano measured
LMArena Text: medicine and healthcare1276Not measuredOnly GPT-4.1 Nano measured
LMArena Text: legal and government1300Not measuredOnly GPT-4.1 Nano measured
LMArena Text: business and finance1266Not measuredOnly GPT-4.1 Nano measured
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-4.1 Nano and MiniMax M2.1
BenchmarkGPT-4.1 NanoMiniMax M2.1Leader
Design Arena: websites9731201MiniMax M2.1
Design Arena: UI components9131220MiniMax M2.1
Design Arena: game dev9701134MiniMax M2.1
Design Arena: data viz8911207MiniMax M2.1
Design Arena: 3D9261166MiniMax M2.1
Design Arena: all code categories9621190MiniMax M2.1
Design Arena: SVGNot measured1131Only MiniMax M2.1 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for GPT-4.1 Nano and MiniMax M2.1
BenchmarkGPT-4.1 NanoMiniMax M2.1Leader
MedScribe (Vals AI)Not measured80.8%Only MiniMax M2.1 measured
IFBench32.0%69.9%MiniMax M2.1
Long context reasoning (AA-LCR)20.3%67.7%MiniMax M2.1
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
LMArena Text1285Not measuredOnly GPT-4.1 Nano measured
LMArena Text: instruction following1266Not measuredOnly GPT-4.1 Nano measured
LMArena Text: creative writing1260Not measuredOnly GPT-4.1 Nano measured
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English1303Not measuredOnly GPT-4.1 Nano measured
LMArena Text: non-English1260Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Chinese1270Not measuredOnly GPT-4.1 Nano measured
LMArena Text: German1288Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Japanese1198Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Russian1261Not measuredOnly GPT-4.1 Nano measured
LMArena Text: multi-turn1277Not measuredOnly GPT-4.1 Nano measured
LMArena Text: longer queries1282Not measuredOnly GPT-4.1 Nano measured
LMArena Text: writing and language1261Not measuredOnly GPT-4.1 Nano measured
LMArena Text: entertainment and media1243Not measuredOnly GPT-4.1 Nano measured
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 27 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 M2.1
BenchmarkGPT-4.1 NanoMiniMax M2.1Leader
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 M2.1$0.0009Fits 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 M2.1$0.019Fits 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 M2.1$0.072Exceeds 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 M2.1
SpecificationOpenAI GPT-4.1 NanoMiniMax M2.1
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025December 23, 2025
Context window1.05M205K
Input $/Mtok$0.10$0.30
Output $/Mtok$0.40$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.59
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than MiniMax M2.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for output tokens 3.0x cheaper ($0.40 vs $1.20 per million) and a larger context window (1.05M against 205K tokens).

Which is cheaper, GPT-4.1 Nano or MiniMax M2.1?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; MiniMax M2.1 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.1 only.

Which has the bigger context window, GPT-4.1 Nano or MiniMax M2.1?

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

How many benchmarks is the GPT-4.1 Nano vs MiniMax M2.1 comparison based on?

27 benchmarks have a result for both models as of October 23, 2026. GPT-4.1 Nano's coding index rests on 0 independent benchmarks and MiniMax M2.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next