Model comparison

MiMo-V2.5 vs o1

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 40.9 on the Noometry Index.

Last verified . 18 shared benchmarks.

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

o1 OpenAI

40.9

Rank #143 Confirmed

Summary

  • They share 18 benchmarks with published results for both. MiMo-V2.5 scores higher in 6 categories and o1 in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in long context, where o1 leads 50.3 to 44.2.
  • MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $15 / $60 for o1.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 200K.
  • MiMo-V2.5 has downloadable open weights; the other is API-only.

Side by side

MiMo-V2.5 and o1 specifications
MiMo-V2.5o1
ProviderXiaomiOpenAI
Noometry Index43.440.9
Released2026-04-222024-09-12
WeightsOpenProprietary
Context window1.05M200K
Max output131K100K
Input $ / M tokens$0.14$15
Output $ / M tokens$0.28$60
Results tracked2352

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Category by category

Coding o1 leads

MiMo-V2.5: 43.9 (#81), o1: 46.1 (#70)

Coding benchmarks
BenchmarkMiMo-V2.5o1
LMArena Coding14691367
Aider Polyglot—61.7%
LMArena WebDev1438—
SciCode43.1%—
WeirdML—47.6%
LiveBench Coding—69.7%
CadEval—56%
ALE-Bench513.95—
HumanEval+—89%
MBPP+—80.2%

Agentic & Tool Use Not comparable

MiMo-V2.5: —, o1: 24.6 (#117)

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2.5o1
Cybench—10%
METR Time Horizons—51.1%

Reasoning Too close to call

MiMo-V2.5: 28.6 (#101), o1: 27.9 (#111)

Reasoning benchmarks
BenchmarkMiMo-V2.5o1
LMArena Hard Prompts14501371
SimpleBench—41.7%
ARC-AGI-1—30.7%
CritPt3.7%—
Chess Puzzles—15%
EnigmaEval—5.7%
LiveBench Reasoning—91.6%
DTBench—74.7%
LiveBench Data Analysis—65.5%
LMCA—22.3%
Epoch Capabilities Index—141.91
LiveBench—75.7%

Math Too close to call

MiMo-V2.5: 36.8 (#163), o1: 36.1 (#175)

Math benchmarks
BenchmarkMiMo-V2.5o1
LMArena Math14361388
FrontierMath (Tiers 1-3)—14.7%
OTIS Mock AIME 2024-2025—73.3%
ProofBench16%—
LiveBench Math—80.3%
MATH Level 5—94.7%
FrontierMath (Feb 2025 set)—9.3%

Knowledge Too close to call

MiMo-V2.5: 40.8 (#115), o1: 41.5 (#110)

Knowledge benchmarks
BenchmarkMiMo-V2.5o1
LMArena Expert14601361
GPQA Diamond—76.8%
Humanity's Last Exam—8%
SimpleQA Verified—41.1%
Confabulations—11.7%

Multimodal MiMo-V2.5 leads

MiMo-V2.5: 39.8 (#54), o1: 34.2 (#93)

Multimodal benchmarks
BenchmarkMiMo-V2.5o1
LMArena Vision12471168
GeoBench—80%
VPCT—37%
SpatialViz-Bench—41.4%

Multilingual MiMo-V2.5 leads

MiMo-V2.5: 51.9 (#99), o1: 48.6 (#142)

Multilingual benchmarks
BenchmarkMiMo-V2.5o1
LMArena Non-English14041358
LMArena Chinese14681394
LMArena French14471344
LMArena German14211337
LMArena Japanese13061346
LMArena Korean13631396
LMArena Russian13951356
LMArena Spanish14161345

Instruction Following Too close to call

MiMo-V2.5: 75.5 (#60), o1: 74.8 (#86)

Instruction Following benchmarks
BenchmarkMiMo-V2.5o1
LMArena Instruction Following14341367
LiveBench Instruction Following—81.5%

Long Context o1 leads

MiMo-V2.5: 44.2 (#73), o1: 50.3 (#9)

Long Context benchmarks
BenchmarkMiMo-V2.5o1
LMArena Longer Query14451378
Fiction.LiveBench—83.3%

Writing & Preference MiMo-V2.5 leads

MiMo-V2.5: 61.6 (#86), o1: 55.6 (#144)

Writing & Preference benchmarks
BenchmarkMiMo-V2.5o1
LMArena Text14281366
LMArena Creative Writing13931348
LMArena Multi-Turn14451369
Short-Story Creative Writing—70.2%
LiveBench Language—65.4%

Frequently asked questions

Is MiMo-V2.5 better than o1?

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 40.9 on the Noometry Index.

Which is cheaper, MiMo-V2.5 or o1?

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; o1 lists at $15 and $60.

Is MiMo-V2.5 or o1 better for coding?

o1 scores higher on coding benchmarks: 46.1 versus 43.9 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 200K.

How many benchmarks do MiMo-V2.5 and o1 share?

18 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and o1 has 52.

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