Noometry

Model comparison

Gemini 2.5 Pro vs MiniMax-M2

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 37.4 on the Noometry Index. MiniMax-M2 costs 6.5× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Last verified . 20 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 8 categories and MiniMax-M2 in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 40.5.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for Gemini 2.5 Pro and 57.8% for MiniMax-M2.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
  • Gemini 2.5 Pro accepts more context: 1.05M tokens versus 205K.
  • MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 ProMiniMax-M2
ProviderGoogleMiniMax
Noometry Index45.037.4
Released2025-03-252025-10-27
WeightsProprietaryOpen
Context window1.05M205K
Max output66K131K
Input $ / M tokens$1.25$0.30
Output $ / M tokens$10$1.20
Results tracked7821

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.4 (#101), MiniMax-M2: 39.3 (#159)

BenchmarkGemini 2.5 ProMiniMax-M2
SWE-bench Verified (bash only)53.6%61%
LMArena WebDev12271297
LMArena Coding14521370
SWE-bench Verified57.6%—
Aider Polyglot83.1%—
SciCode42.8%—
GSO3.9%—
WeirdML54%—
LiveBench Coding85.9%—
CadEval64%—
ALE-Bench785.52—
AlgoTune1.51—

Agentic & Tool Use Gemini 2.5 Pro leads

Gemini 2.5 Pro: 29.2 (#88), MiniMax-M2: 25.1 (#109)

BenchmarkGemini 2.5 ProMiniMax-M2
Terminal-Bench32.6%30%
Vending-Bench 2573.64160.6
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
BALROG43.3%—
LMArena Search1142—
METR Time Horizons55.4%—

Reasoning Gemini 2.5 Pro leads

Gemini 2.5 Pro: 28.8 (#99), MiniMax-M2: 19.4 (#258)

BenchmarkGemini 2.5 ProMiniMax-M2
Kagi LLM Benchmark70.3%57.8%
LMArena Hard Prompts14551357
ARC-AGI-24.9%—
SimpleBench62.4%—
NYT Connections (extended)—14.8%
ARC-AGI-141%—
CritPt2%—
Chess Puzzles20%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
DTBench82.4%—
LiveBench Data Analysis79.9%—
LMCA34.8%—
Epoch Capabilities Index145.32—
ForecastBench61.3—
LiveBench82.3%—

Math MiniMax-M2 leads

Gemini 2.5 Pro: 32.5 (#213), MiniMax-M2: 37.3 (#160)

BenchmarkGemini 2.5 ProMiniMax-M2
LMArena Math14501352
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
OTIS Mock AIME 2024-202584.7%—
Omni-MATH41.6%—
LiveBench Math90.2%—
MATH Level 595.9%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), MiniMax-M2: 37.0 (#163)

BenchmarkGemini 2.5 ProMiniMax-M2
LMArena Expert14521337
GPQA Diamond85.3%—
Humanity's Last Exam21.6%—
MMLU-Pro86.3%—
Confabulations10.6%—
Vectara Hallucination Rate7%—
GPQA (HELM)74.9%—

Multimodal Not comparable

Gemini 2.5 Pro: 45.2 (#18), MiniMax-M2: —

BenchmarkGemini 2.5 ProMiniMax-M2
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), MiniMax-M2: 45.3 (#171)

BenchmarkGemini 2.5 ProMiniMax-M2
LMArena Non-English14511313
LMArena Chinese15071366
LMArena French14721335
LMArena German14871355
LMArena Russian14611331
LMArena Spanish14731326
LMArena Japanese1461—
LMArena Korean1434—

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.0 (#75), MiniMax-M2: 70.2 (#166)

BenchmarkGemini 2.5 ProMiniMax-M2
LMArena Instruction Following14371328
LiveBench Instruction Following80.6%—
IFEval84%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), MiniMax-M2: 40.5 (#153)

BenchmarkGemini 2.5 ProMiniMax-M2
LMArena Longer Query14491331
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), MiniMax-M2: 53.0 (#162)

BenchmarkGemini 2.5 ProMiniMax-M2
LMArena Text14581340
LMArena Creative Writing14541286
LMArena Multi-Turn14531361
Short-Story Creative Writing83.8%—
EQ-Bench Creative Writing1421—
WildBench85.7%—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than MiniMax-M2?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 37.4 on the Noometry Index. MiniMax-M2 costs 6.5× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 Pro or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or MiniMax-M2 better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 39.3 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 205K.

How many benchmarks do Gemini 2.5 Pro and MiniMax-M2 share?

20 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and MiniMax-M2 has 21.

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