Model comparison

Gemma 4 26B A4B IT vs MiMo-V2.5

Gemma 4 26B A4B IT and MiMo-V2.5 score almost the same on the Noometry Index (43.5 vs 43.4), so choose on price, context window or the category you care about most.

Last verified . 19 shared benchmarks.

Gemma 4 26B A4B IT Google

43.5

Rank #92 Confirmed

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Gemma 4 26B A4B IT scores higher in 4 categories and MiMo-V2.5 in 5 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemma 4 26B A4B IT leads 47.6 to 36.8.
  • Gemma 4 26B A4B IT is cheaper at $0.0675 / $0.23 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2.5.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 262K.

Side by side

Gemma 4 26B A4B IT and MiMo-V2.5 specifications
Gemma 4 26B A4B ITMiMo-V2.5
ProviderGoogleXiaomi
Noometry Index43.543.4
Released2026-04-022026-04-22
WeightsOpenOpen
Context window262K1.05M
Max output33K131K
Input $ / M tokens$0.0675$0.14
Output $ / M tokens$0.23$0.28
Results tracked2823

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Category by category

Coding MiMo-V2.5 leads

Gemma 4 26B A4B IT: 39.0 (#164), MiMo-V2.5: 43.9 (#81)

Coding benchmarks
BenchmarkGemma 4 26B A4B ITMiMo-V2.5
LMArena WebDev13591438
SciCode40%43.1%
LMArena Coding14471469
ALE-Bench927.17513.95
WeirdML35.2%—

Reasoning MiMo-V2.5 leads

Gemma 4 26B A4B IT: 21.8 (#213), MiMo-V2.5: 28.6 (#101)

Reasoning benchmarks
BenchmarkGemma 4 26B A4B ITMiMo-V2.5
CritPt0%3.7%
LMArena Hard Prompts14391450
Chess Puzzles6%—
DTBench74.9%—
LMCA29.7%—
Epoch Capabilities Index141.85—

Math Gemma 4 26B A4B IT leads

Gemma 4 26B A4B IT: 47.6 (#67), MiMo-V2.5: 36.8 (#163)

Math benchmarks
BenchmarkGemma 4 26B A4B ITMiMo-V2.5
LMArena Math14701436
OTIS Mock AIME 2024-202582.2%—
ProofBench—16%

Knowledge Gemma 4 26B A4B IT leads

Gemma 4 26B A4B IT: 45.7 (#85), MiMo-V2.5: 40.8 (#115)

Knowledge benchmarks
BenchmarkGemma 4 26B A4B ITMiMo-V2.5
LMArena Expert14471460
GPQA Diamond73.2%—
Vectara Hallucination Rate5.2%—

Multimodal Too close to call

Gemma 4 26B A4B IT: 40.6 (#46), MiMo-V2.5: 39.8 (#54)

Multimodal benchmarks
BenchmarkGemma 4 26B A4B ITMiMo-V2.5
LMArena Vision12601247

Multilingual Gemma 4 26B A4B IT leads

Gemma 4 26B A4B IT: 53.1 (#71), MiMo-V2.5: 51.9 (#99)

Multilingual benchmarks
BenchmarkGemma 4 26B A4B ITMiMo-V2.5
LMArena Non-English14211404
LMArena Chinese14951468
LMArena French14601447
LMArena Russian14341395
LMArena Spanish14171416
LMArena German—1421
LMArena Japanese—1306
LMArena Korean—1363

Instruction Following Too close to call

Gemma 4 26B A4B IT: 74.8 (#82), MiMo-V2.5: 75.5 (#60)

Instruction Following benchmarks
BenchmarkGemma 4 26B A4B ITMiMo-V2.5
LMArena Instruction Following14201434

Long Context Too close to call

Gemma 4 26B A4B IT: 43.6 (#91), MiMo-V2.5: 44.2 (#73)

Long Context benchmarks
BenchmarkGemma 4 26B A4B ITMiMo-V2.5
LMArena Longer Query14281445

Writing & Preference MiMo-V2.5 leads

Gemma 4 26B A4B IT: 58.6 (#115), MiMo-V2.5: 61.6 (#86)

Writing & Preference benchmarks
BenchmarkGemma 4 26B A4B ITMiMo-V2.5
LMArena Text14341428
LMArena Creative Writing14021393
LMArena Multi-Turn14411445
EQ-Bench Creative Writing1305—

Frequently asked questions

Is Gemma 4 26B A4B IT better than MiMo-V2.5?

Gemma 4 26B A4B IT and MiMo-V2.5 score almost the same on the Noometry Index (43.5 vs 43.4), so choose on price, context window or the category you care about most.

Which is cheaper, Gemma 4 26B A4B IT or MiMo-V2.5?

Gemma 4 26B A4B IT is cheaper. It lists at $0.0675 per million input tokens and $0.23 per million output tokens; MiMo-V2.5 lists at $0.14 and $0.28.

Is Gemma 4 26B A4B IT or MiMo-V2.5 better for coding?

MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 39.0 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 262K.

How many benchmarks do Gemma 4 26B A4B IT and MiMo-V2.5 share?

19 benchmarks have published results for both models. Gemma 4 26B A4B IT has 28 scored results on Noometry and MiMo-V2.5 has 23.

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