Model comparison

Llama 3-8B vs MiMo-V2.6-Flash

MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 25.3 on the Noometry Index.

Last verified . 12 shared benchmarks.

Llama 3-8B Meta

25.3

Rank #338 Confirmed

MiMo-V2.6-Flash Xiaomi

44.4

Rank #74 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Llama 3-8B 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 knowledge, where MiMo-V2.6-Flash leads 42.0 to 7.8.
  • Llama 3-8B is cheaper at $0.14 / $0.14 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 8K.

Side by side

Llama 3-8B and MiMo-V2.6-Flash specifications
Llama 3-8BMiMo-V2.6-Flash
ProviderMetaXiaomi
Noometry Index25.344.4
Released2024-04-182026-09-22
WeightsOpenOpen
Context window8K1.05M
Max output8K131K
Input $ / M tokens$0.14$0.14
Output $ / M tokens$0.14$0.28
Results tracked3413

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding MiMo-V2.6-Flash leads

Llama 3-8B: 30.5 (#285), MiMo-V2.6-Flash: 44.3 (#68)

Coding benchmarks
BenchmarkLlama 3-8BMiMo-V2.6-Flash
LMArena Coding11521516
BigCodeBench Instruct31.9%—
BigCodeBench Complete36.9%—
HumanEval+56.7%—
MBPP+54.8%—

Reasoning MiMo-V2.6-Flash leads

Llama 3-8B: 13.8 (#321), MiMo-V2.6-Flash: 29.6 (#82)

Reasoning benchmarks
BenchmarkLlama 3-8BMiMo-V2.6-Flash
LMArena Hard Prompts11331481
Chess Puzzles0%—
DTBench43.9%—
Adversarial NLI57.3%—
Epoch Capabilities Index116.33—
ForecastBench58.6—
WinoGrande75.7%—

Math MiMo-V2.6-Flash leads

Llama 3-8B: 8.3 (#317), MiMo-V2.6-Flash: 37.4 (#97)

Math benchmarks
BenchmarkLlama 3-8BMiMo-V2.6-Flash
LMArena Math11511477
OTIS Mock AIME 2024-20251.9%—
MATH Level 56.1%—

Knowledge MiMo-V2.6-Flash leads

Llama 3-8B: 7.8 (#303), MiMo-V2.6-Flash: 42.0 (#91)

Knowledge benchmarks
BenchmarkLlama 3-8BMiMo-V2.6-Flash
LMArena Expert11131516
GPQA Diamond26.1%—
ARC (AI2) Challenge82.8%—
MMLU68.8%—
OpenBookQA82.6%—
TriviaQA67.7%—

Multimodal Not comparable

Llama 3-8B: —, MiMo-V2.6-Flash: 40.2 (#39)

Multimodal benchmarks
BenchmarkLlama 3-8BMiMo-V2.6-Flash
LMArena Vision—1266

Multilingual MiMo-V2.6-Flash leads

Llama 3-8B: 31.0 (#256), MiMo-V2.6-Flash: 54.6 (#41)

Multilingual benchmarks
BenchmarkLlama 3-8BMiMo-V2.6-Flash
LMArena Non-English10981439
LMArena Chinese10761501
LMArena Russian11091424
LMArena French1158—
LMArena German1104—
LMArena Japanese967—
LMArena Korean1003—
LMArena Spanish1172—

Instruction Following MiMo-V2.6-Flash leads

Llama 3-8B: 58.7 (#255), MiMo-V2.6-Flash: 77.0 (#33)

Instruction Following benchmarks
BenchmarkLlama 3-8BMiMo-V2.6-Flash
LMArena Instruction Following11271463

Long Context MiMo-V2.6-Flash leads

Llama 3-8B: 34.2 (#246), MiMo-V2.6-Flash: 44.8 (#52)

Long Context benchmarks
BenchmarkLlama 3-8BMiMo-V2.6-Flash
LMArena Longer Query11281465

Writing & Preference MiMo-V2.6-Flash leads

Llama 3-8B: 37.7 (#251), MiMo-V2.6-Flash: 63.9 (#61)

Writing & Preference benchmarks
BenchmarkLlama 3-8BMiMo-V2.6-Flash
LMArena Text11661459
LMArena Creative Writing11501408
LMArena Multi-Turn11521460

Frequently asked questions

Is Llama 3-8B better than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 25.3 on the Noometry Index.

Which is cheaper, Llama 3-8B or MiMo-V2.6-Flash?

Llama 3-8B is cheaper. It lists at $0.14 per million input tokens and $0.14 per million output tokens; MiMo-V2.6-Flash lists at $0.14 and $0.28.

Is Llama 3-8B or MiMo-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 44.3 versus 30.5 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 8K.

How many benchmarks do Llama 3-8B and MiMo-V2.6-Flash share?

12 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and MiMo-V2.6-Flash has 13.

Related comparisons

Go deeper