MiMo-V2-Flash (Non-reasoning)
XiaomiOpen WeightMIT · Usage Commercial
Description
MiMo-V2-Flash is a powerful, efficient, and ultra-fast foundation language model that excels in reasoning, coding, and agentic scenarios. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, featuring a hybrid attention architecture with sliding-window and full attention (5:1 ratio, 128-token window). Delivers 150 tokens/sec inference with 256k context window.
Date de sortie
2025-12-16
Paramètres
309.0B
Longueur du contexte
262K
Modalités
text
Radar de capacités
37
general
44
coding
67
reasoning
40
science
60
agents
0
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 119 | 35.0 | LS |
| Classement codage | 220 | 51.0 | AA |
| Classement général | 191 | 57.0 | AA |
| Science | 335 | 41.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
Tau-bench
80.3%Aut.
BrowseCompOpenAI (2025)
58.3%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
38.5%Aut.
Terminal-Bench
30.5%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
83.7%Aut.
Code
SWE-Bench Verified
73.4%Aut.
SWE-bench Multilingual
71.7%Aut.
Creativity
Arena-Hard v2
86.2%Aut.
Finance
MMLU-Pro
84.9%Aut.
General
LiveCodeBench v6
80.6%Aut.
LongBench v2
60.6%Aut.
MRCR
45.7%Aut.
Math
AIME 2025
94.1%Aut.
HMMT 2025
84.4%Aut.
Humanity's Last Exam
22.1%Aut.
Indices d'évaluation AA
(Artificial Analysis)Math Index(Artificial Analysis)67.7
Coding Index(Artificial Analysis)49.8
Intelligence Index(Artificial Analysis)25.1
Tau2(Sierra + U Toronto + Vector Institute (2025))0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Aime 25(MAA (Mathematical Association of America))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.7
Terminalbench V2 10.6
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.4
Ifbench(Google Research (2023))0.4
Lcr(Artificial Analysis)0.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.3
Hle(Center for AI Safety + Scale AI (2025))0.1
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Creativity90
Writing90
Legal80
Physics80
Language80
Finance80
Healthcare80
Biology80
Chemistry80
Math70
Reasoning70
Frontend Development70
General70
Search60
Structured Output60
Tool Calling60
Long Context50
Agents50
Code50
Vision20
Tarification
Prix d'entréeGratuit
Prix de sortieGratuit
Prix mixte (3:1)Gratuit
Prix de lecture cache$0.0028 / 1M tokens
Vitesse
Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s
Classement des Prix par Fournisseur
Aucune donnée de fournisseur disponible