Noometry

Model comparison

MiMo-V2-Flash vs Mistral 7B

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 23.0 on the Noometry Index.

Last verified . 16 shared benchmarks.

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 16 benchmarks with published results for both. MiMo-V2-Flash scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiMo-V2-Flash leads 39.7 to 7.4.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
  • MiMo-V2-Flash accepts more context: 262K tokens versus 8K.

Side by side

MiMo-V2-FlashMistral 7B
ProviderXiaomiMistral AI
Noometry Index41.323.0
Released2025-12-162023-09-27
WeightsOpenOpen
Context window262K8K
Max output66K8K
Input $ / M tokens$0.14$0.25
Output $ / M tokens$0.28$0.25
Results tracked2137

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Category by category

Coding MiMo-V2-Flash leads

MiMo-V2-Flash: 36.1 (#211), Mistral 7B: 26.4 (#326)

BenchmarkMiMo-V2-FlashMistral 7B
LMArena Coding14431082
LMArena WebDev1330—
SciCode25.9%—
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
ALE-Bench737.95—
HumanEval+—36%
MBPP+—42.1%

Reasoning MiMo-V2-Flash leads

MiMo-V2-Flash: 24.9 (#157), Mistral 7B: 13.1 (#336)

BenchmarkMiMo-V2-FlashMistral 7B
LMArena Hard Prompts14201067
CritPt0%—
Chess Puzzles—0%
DTBench—42.5%
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
Epoch Capabilities Index—112.21
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math MiMo-V2-Flash leads

MiMo-V2-Flash: 38.3 (#139), Mistral 7B: 8.1 (#325)

BenchmarkMiMo-V2-FlashMistral 7B
LMArena Math13961085
OTIS Mock AIME 2024-2025—0.3%
MATH Level 5—3.7%
GSM8K—54.4%

Knowledge MiMo-V2-Flash leads

MiMo-V2-Flash: 39.7 (#131), Mistral 7B: 7.4 (#311)

BenchmarkMiMo-V2-FlashMistral 7B
LMArena Expert14251036
GPQA Diamond—15.2%
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multilingual MiMo-V2-Flash leads

MiMo-V2-Flash: 51.0 (#113), Mistral 7B: 25.8 (#283)

BenchmarkMiMo-V2-FlashMistral 7B
LMArena Non-English13921012
LMArena Chinese14621009
LMArena French14291037
LMArena German1395987
LMArena Japanese1325878
LMArena Russian13871018
LMArena Spanish14201026
LMArena Korean1358—

Instruction Following MiMo-V2-Flash leads

MiMo-V2-Flash: 73.5 (#120), Mistral 7B: 54.2 (#280)

BenchmarkMiMo-V2-FlashMistral 7B
LMArena Instruction Following13921060

Long Context MiMo-V2-Flash leads

MiMo-V2-Flash: 43.0 (#110), Mistral 7B: 32.2 (#271)

BenchmarkMiMo-V2-FlashMistral 7B
LMArena Longer Query14091060

Writing & Preference MiMo-V2-Flash leads

MiMo-V2-Flash: 59.7 (#106), Mistral 7B: 30.7 (#286)

BenchmarkMiMo-V2-FlashMistral 7B
LMArena Text14111090
LMArena Creative Writing13751068
LMArena Multi-Turn14041062

Frequently asked questions

Is MiMo-V2-Flash better than Mistral 7B?

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 23.0 on the Noometry Index.

Which is cheaper, MiMo-V2-Flash or Mistral 7B?

MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral 7B lists at $0.25 and $0.25.

Is MiMo-V2-Flash or Mistral 7B better for coding?

MiMo-V2-Flash scores higher on coding benchmarks: 36.1 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 8K.

How many benchmarks do MiMo-V2-Flash and Mistral 7B share?

16 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Mistral 7B has 37.

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