Model comparison

Llama 3.2 3B vs MiMo-V2.6-Flash

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 28.9 on the Noometry Index.

Last verified . 12 shared benchmarks.

Llama 3.2 3B Meta

28.9

Rank #321 Confirmed

MiMo-V2.6-Flash Xiaomi

48.5

Rank #55 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Llama 3.2 3B scores higher in 0 categories and MiMo-V2.6-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiMo-V2.6-Flash leads 63.1 to 24.7.
  • Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2.6-Flash.
  • MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 131K.

Side by side

Llama 3.2 3B and MiMo-V2.6-Flash specifications
Llama 3.2 3BMiMo-V2.6-Flash
ProviderMetaXiaomi
Noometry Index28.948.5
Released2024-09-242026-09-21
WeightsOpenOpen
Context window131K1.05M
Max output118K131K
Input $ / M tokens$0.05$0.14
Output $ / M tokens$0.33$0.28
Results tracked1819

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Category by category

Coding MiMo-V2.6-Flash leads

Llama 3.2 3B: 27.6 (#319), MiMo-V2.6-Flash: 53.4 (#30)

Coding benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
LMArena Coding10981504
LMArena WebDev—1637
SciCode—51.3%
BigCodeBench Instruct23.4%—
BigCodeBench Complete28.3%—

Agentic & Tool Use Not comparable

Llama 3.2 3B: 20.1 (#143), MiMo-V2.6-Flash: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
Berkeley Function Calling Leaderboard21.9%—
BALROG10.1%—

Reasoning MiMo-V2.6-Flash leads

Llama 3.2 3B: 21.0 (#228), MiMo-V2.6-Flash: 36.5 (#66)

Reasoning benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
LMArena Hard Prompts10951482
CritPt—12%

Math MiMo-V2.6-Flash leads

Llama 3.2 3B: 32.4 (#214), MiMo-V2.6-Flash: 51.9 (#52)

Math benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
LMArena Math11261468
ProofBench—63%

Knowledge MiMo-V2.6-Flash leads

Llama 3.2 3B: 29.7 (#235), MiMo-V2.6-Flash: 42.2 (#99)

Knowledge benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
LMArena Expert10901501

Multimodal Not comparable

Llama 3.2 3B: —, MiMo-V2.6-Flash: 40.5 (#47)

Multimodal benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
LMArena Vision—1259

Multilingual MiMo-V2.6-Flash leads

Llama 3.2 3B: 26.2 (#281), MiMo-V2.6-Flash: 54.0 (#51)

Multilingual benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
LMArena Non-English10191434
LMArena Chinese10171511
LMArena Russian9491409
LMArena French—1475
LMArena German1056—
LMArena Spanish—1456

Instruction Following MiMo-V2.6-Flash leads

Llama 3.2 3B: 56.0 (#275), MiMo-V2.6-Flash: 76.8 (#35)

Instruction Following benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
LMArena Instruction Following10891463

Long Context MiMo-V2.6-Flash leads

Llama 3.2 3B: 33.4 (#261), MiMo-V2.6-Flash: 44.8 (#57)

Long Context benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
LMArena Longer Query11001463

Writing & Preference MiMo-V2.6-Flash leads

Llama 3.2 3B: 24.7 (#307), MiMo-V2.6-Flash: 63.1 (#67)

Writing & Preference benchmarks
BenchmarkLlama 3.2 3BMiMo-V2.6-Flash
LMArena Text11101455
LMArena Creative Writing10941400
LMArena Multi-Turn11051451
EQ-Bench Creative Writing595—

Frequently asked questions

Is Llama 3.2 3B better than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 28.9 on the Noometry Index.

Which is cheaper, Llama 3.2 3B or MiMo-V2.6-Flash?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; MiMo-V2.6-Flash lists at $0.14 and $0.28.

Is Llama 3.2 3B or MiMo-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 131K.

How many benchmarks do Llama 3.2 3B and MiMo-V2.6-Flash share?

12 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and MiMo-V2.6-Flash has 19.

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