Model comparison

GPT-4.1 mini vs MiniMax-M3

MiniMax-M3 is the stronger model overall, scoring 43.8 to 33.6 on the Noometry Index.

Last verified . 27 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

MiniMax-M3 MiniMax

43.8

Rank #85 Confirmed

Summary

  • They share 27 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and MiniMax-M3 in 9 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 34.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 71.1% for MiniMax-M3.
  • MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 1M.
  • MiniMax-M3 has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 mini and MiniMax-M3 specifications
GPT-4.1 miniMiniMax-M3
ProviderOpenAIMiniMax
Noometry Index33.643.8
Released2025-04-142026-06-01
WeightsProprietaryOpen
Context window1.05M1M
Max output33K512K
Input $ / M tokens$0.40$0.30
Output $ / M tokens$1.60$1.20
Results tracked4741

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Category by category

Coding MiniMax-M3 leads

GPT-4.1 mini: 30.6 (#293), MiniMax-M3: 41.8 (#118)

Coding benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
SciCode40.4%47.1%
LMArena Coding13671469
FrontierCode—14.7%
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
LMArena WebDev—1482
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—
ALE-Bench—640.02

Agentic & Tool Use GPT-4.1 mini leads

GPT-4.1 mini: 33.3 (#55), MiniMax-M3: 22.6 (#130)

Agentic & Tool Use benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
APEX-Agents—37.7%
Berkeley Function Calling Leaderboard50.5%—
OSWorld 2.0—4.6%
GBAEval—0.9%
Vending-Bench 2—2,158

Reasoning MiniMax-M3 leads

GPT-4.1 mini: 10.8 (#340), MiniMax-M3: 30.1 (#87)

Reasoning benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
CritPt0%3.7%
Chess Puzzles7%14%
LMArena Hard Prompts13491447
Mystery Game Puzzles7%8%
DTBench68.8%78.9%
LMCA21.1%33.7%
Epoch Capabilities Index135.01146.95
ARC-AGI-20%—
SimpleBench—45.8%
Kagi LLM Benchmark48.6%—
NYT Connections (extended)—65.1%
ARC-AGI-13.5%—
Surface Evolver Bench—55%
ForecastBench—61.4

Math MiniMax-M3 leads

GPT-4.1 mini: 24.1 (#270), MiniMax-M3: 40.0 (#95)

Math benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
OTIS Mock AIME 2024-202544.7%71.1%
LMArena Math13431429
FrontierMath (Tiers 1-3)6.7%—
ProofBench—18%
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge MiniMax-M3 leads

GPT-4.1 mini: 34.7 (#194), MiniMax-M3: 58.4 (#35)

Knowledge benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
GPQA Diamond65.8%90.9%
LMArena Expert13381461
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—

Multimodal MiniMax-M3 leads

GPT-4.1 mini: 35.8 (#82), MiniMax-M3: 40.2 (#51)

Multimodal benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
LMArena Vision11811253
LMArena Document—1435

Multilingual MiniMax-M3 leads

GPT-4.1 mini: 45.7 (#166), MiniMax-M3: 53.0 (#75)

Multilingual benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
LMArena Non-English13181420
LMArena Chinese13291463
LMArena French13581447
LMArena German13511426
LMArena Japanese12901381
LMArena Korean12981372
LMArena Russian13241428
LMArena Spanish13191432

Instruction Following MiniMax-M3 leads

GPT-4.1 mini: 73.7 (#118), MiniMax-M3: 75.5 (#62)

Instruction Following benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
LMArena Instruction Following13331433
IFEval90.4%—

Long Context MiniMax-M3 leads

GPT-4.1 mini: 31.8 (#275), MiniMax-M3: 44.2 (#72)

Long Context benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
LMArena Longer Query13441445
Fiction.LiveBench44.4%—

Writing & Preference MiniMax-M3 leads

GPT-4.1 mini: 48.6 (#199), MiniMax-M3: 62.1 (#83)

Writing & Preference benchmarks
BenchmarkGPT-4.1 miniMiniMax-M3
LMArena Text13401433
LMArena Creative Writing13001404
LMArena Multi-Turn13541442
EQ-Bench Creative Writing1147—
WildBench83.8%—
EQ-Bench 4—1150

Frequently asked questions

Is GPT-4.1 mini better than MiniMax-M3?

MiniMax-M3 is the stronger model overall, scoring 43.8 to 33.6 on the Noometry Index.

Which is cheaper, GPT-4.1 mini or MiniMax-M3?

MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Is GPT-4.1 mini or MiniMax-M3 better for coding?

MiniMax-M3 scores higher on coding benchmarks: 41.8 versus 30.6 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 1M.

How many benchmarks do GPT-4.1 mini and MiniMax-M3 share?

27 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and MiniMax-M3 has 41.

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