Model comparison

Llama 3.1-405B vs MiMo-V2.6-Flash

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 30.7 on the Noometry Index.

Last verified . 14 shared benchmarks.

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

MiMo-V2.6-Flash Xiaomi

48.5

Rank #55 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Llama 3.1-405B 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 math, where MiMo-V2.6-Flash leads 51.9 to 18.4.

Side by side

Llama 3.1-405B and MiMo-V2.6-Flash specifications
Llama 3.1-405BMiMo-V2.6-Flash
ProviderMetaXiaomi
Noometry Index30.748.5
Released2024-07-232026-09-21
WeightsOpenOpen
Context window—1.05M
Max output—131K
Input $ / M tokens—$0.14
Output $ / M tokens—$0.28
Results tracked4219

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Category by category

Coding MiMo-V2.6-Flash leads

Llama 3.1-405B: 33.1 (#262), MiMo-V2.6-Flash: 53.4 (#30)

Coding benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
LMArena Coding12911504
LMArena WebDev—1637
SciCode—51.3%
WeirdML21.4%—

Agentic & Tool Use Not comparable

Llama 3.1-405B: 21.0 (#140), MiMo-V2.6-Flash: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
TheAgentCompany7.4%—
Cybench7.5%—

Reasoning MiMo-V2.6-Flash leads

Llama 3.1-405B: 16.8 (#300), MiMo-V2.6-Flash: 36.5 (#66)

Reasoning benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
LMArena Hard Prompts12691482
SimpleBench23%—
Kagi LLM Benchmark45%—
CritPt—12%
DTBench61.4%—
BIG-Bench Hard82.9%—
Epoch Capabilities Index128.75—
ForecastBench59.9—
HellaSwag89.2%—
PIQA85.9%—
WinoGrande89.2%—

Math MiMo-V2.6-Flash leads

Llama 3.1-405B: 18.4 (#290), MiMo-V2.6-Flash: 51.9 (#52)

Math benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
LMArena Math12811468
OTIS Mock AIME 2024-20259.7%—
ProofBench—63%
Omni-MATH24.9%—
MATH Level 549.8%—

Knowledge MiMo-V2.6-Flash leads

Llama 3.1-405B: 30.4 (#227), MiMo-V2.6-Flash: 42.2 (#99)

Knowledge benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
LMArena Expert12431501
GPQA Diamond50.9%—
MMLU-Pro72.3%—
Confabulations17.6%—
GPQA (HELM)52.2%—
ARC (AI2) Challenge95.3%—
MMLU84.5%—
TriviaQA82.7%—

Multimodal Not comparable

Llama 3.1-405B: —, MiMo-V2.6-Flash: 40.5 (#47)

Multimodal benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
LMArena Vision—1259

Multilingual MiMo-V2.6-Flash leads

Llama 3.1-405B: 40.7 (#214), MiMo-V2.6-Flash: 54.0 (#51)

Multilingual benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
LMArena Non-English12481434
LMArena Chinese12421511
LMArena French12791475
LMArena Russian12651409
LMArena Spanish12601456
LMArena German1252—
LMArena Japanese1208—
LMArena Korean1184—

Instruction Following MiMo-V2.6-Flash leads

Llama 3.1-405B: 65.9 (#214), MiMo-V2.6-Flash: 76.8 (#35)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
LMArena Instruction Following12591463
IFEval81.1%—

Long Context MiMo-V2.6-Flash leads

Llama 3.1-405B: 38.4 (#197), MiMo-V2.6-Flash: 44.8 (#57)

Long Context benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
LMArena Longer Query12661463

Writing & Preference MiMo-V2.6-Flash leads

Llama 3.1-405B: 38.9 (#251), MiMo-V2.6-Flash: 63.1 (#67)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BMiMo-V2.6-Flash
LMArena Text12841455
LMArena Creative Writing12621400
LMArena Multi-Turn12971451
EQ-Bench Creative Writing870—
WildBench78.3%—

Frequently asked questions

Is Llama 3.1-405B better than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 30.7 on the Noometry Index.

Is Llama 3.1-405B or MiMo-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 33.1 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and MiMo-V2.6-Flash share?

14 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and MiMo-V2.6-Flash has 19.

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