Model comparison

Gemini 1.0 Pro vs MiniMax-M2.5

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 27.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemini 1.0 Pro Google

27.3

Rank #332 Confirmed

MiniMax-M2.5 MiniMax

38.3

Rank #188 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 0 categories and MiniMax-M2.5 in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiniMax-M2.5 leads 39.2 to 15.6.
  • MiniMax-M2.5 has downloadable open weights; the other is API-only.

Side by side

Gemini 1.0 Pro and MiniMax-M2.5 specifications
Gemini 1.0 ProMiniMax-M2.5
ProviderGoogleMiniMax
Noometry Index27.338.3
Released2023-12-132026-02-12
WeightsProprietaryOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.30
Output $ / M tokens—$1.20
Results tracked2433

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Category by category

Coding MiniMax-M2.5 leads

Gemini 1.0 Pro: 32.2 (#275), MiniMax-M2.5: 48.1 (#58)

Coding benchmarks
BenchmarkGemini 1.0 ProMiniMax-M2.5
LMArena Coding11081381
SWE-bench Verified (bash only)—75.8%
LMArena WebDev—1387
SWE-bench Multilingual—68.3%
ALE-Bench—618.17
HumanEval+55.5%—
MBPP+61.4%—

Agentic & Tool Use Not comparable

Gemini 1.0 Pro: —, MiniMax-M2.5: 30.4 (#77)

Agentic & Tool Use benchmarks
BenchmarkGemini 1.0 ProMiniMax-M2.5
Terminal-Bench—42.7%
Vending-Bench 2—-23.16

Reasoning Too close to call

Gemini 1.0 Pro: 17.1 (#296), MiniMax-M2.5: 17.5 (#292)

Reasoning benchmarks
BenchmarkGemini 1.0 ProMiniMax-M2.5
LMArena Hard Prompts11091372
Epoch Capabilities Index117.04146.68
ARC-AGI-2—4.9%
Kagi LLM Benchmark—55.2%
NYT Connections (extended)—16.8%
ARC-AGI-1—63.7%
DTBench45.9%—

Math MiniMax-M2.5 leads

Gemini 1.0 Pro: 9.3 (#321), MiniMax-M2.5: 26.9 (#253)

Math benchmarks
BenchmarkGemini 1.0 ProMiniMax-M2.5
LMArena Math11321378
OTIS Mock AIME 2024-20251.1%—
ProofBench—4%
MATH Level 511.2%—

Knowledge MiniMax-M2.5 leads

Gemini 1.0 Pro: 15.6 (#291), MiniMax-M2.5: 39.2 (#135)

Knowledge benchmarks
BenchmarkGemini 1.0 ProMiniMax-M2.5
LMArena Expert10591379
GPQA Diamond34%—
Vectara Hallucination Rate—9.1%
MMLU70%—

Multilingual MiniMax-M2.5 leads

Gemini 1.0 Pro: 33.4 (#252), MiniMax-M2.5: 47.1 (#152)

Multilingual benchmarks
BenchmarkGemini 1.0 ProMiniMax-M2.5
LMArena Non-English11381338
LMArena Chinese11241393
LMArena French11451362
LMArena German11251362
LMArena Japanese10231171
LMArena Russian11861358
LMArena Spanish11191354
LMArena Korean—1232

Instruction Following MiniMax-M2.5 leads

Gemini 1.0 Pro: 57.6 (#267), MiniMax-M2.5: 71.5 (#148)

Instruction Following benchmarks
BenchmarkGemini 1.0 ProMiniMax-M2.5
LMArena Instruction Following11141353

Long Context MiniMax-M2.5 leads

Gemini 1.0 Pro: 34.3 (#249), MiniMax-M2.5: 37.5 (#216)

Long Context benchmarks
BenchmarkGemini 1.0 ProMiniMax-M2.5
LMArena Longer Query11321366
CL-bench—11.4%
CL-bench Life—6.3%

Writing & Preference MiniMax-M2.5 leads

Gemini 1.0 Pro: 36.0 (#264), MiniMax-M2.5: 53.9 (#153)

Writing & Preference benchmarks
BenchmarkGemini 1.0 ProMiniMax-M2.5
LMArena Text11491359
LMArena Creative Writing11311331
LMArena Multi-Turn11391364
EQ-Bench Creative Writing—1361

Frequently asked questions

Is Gemini 1.0 Pro better than MiniMax-M2.5?

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 27.3 on the Noometry Index.

Is Gemini 1.0 Pro or MiniMax-M2.5 better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 32.2 in the Noometry coding category.

How many benchmarks do Gemini 1.0 Pro and MiniMax-M2.5 share?

17 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and MiniMax-M2.5 has 33.

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