跳轉到主要內容
AITier

MiMo-V2-Flash (Non-reasoning)

Xiaomi開源權重MIT · 商用許可

描述

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.

發布日期
2025-12-16
參數規模
309.0B
上下文長度
262K
支援模態
text

能力雷達圖

32
general
46
coding
67
reasoning
48
science
60
agents
0
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜303
49.0
AA
通用能力榜225
51.0
AA
科學能力379
39.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

General

Arena-Hard v286.2%自報
Tau-bench80.3%自報

Language

MMLU-Pro84.9%自報

Long Context

LongBench v260.6%自報
MRCR45.7%自報

Math

AIME 202594.1%自報
HMMT 202584.4%自報

Reasoning

GPQANYU + Cohere + Anthropic (2023)83.7%自報
LiveCodeBench v680.6%自報
SWE-Bench Verified73.4%自報
SWE-bench Multilingual71.7%自報
BrowseCompOpenAI (2025)58.3%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)38.5%自報
Terminal-Bench30.5%自報
Humanity's Last Exam22.1%自報

AA 評測指數

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
83.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
74.4
Math Index(Artificial Analysis)
67.7
Aime 25(MAA (Mathematical Association of America))
67.7
Gpqa(NYU + Cohere + Anthropic (2023))
65.6
Terminalbench V2 1
61.8
Coding Index(Artificial Analysis)
49.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))
40.2
Ifbench(Google Research (2023))
39.9
Lcr(Artificial Analysis)
36.3
Terminalbench Hard(Stanford × Laude Institute (2026))
25.8
Intelligence Index(Artificial Analysis)
16.0
Hle(Center for AI Safety + Scale AI (2025))
8.6

LLM Stats 分類評分

(LLM Stats (zeroeval))
Creativity
90
Writing
90
Language
80
Legal
80
Physics
80
Finance
80
Healthcare
80
Biology
80
Chemistry
80
Math
70
Reasoning
70
Frontend Development
70
General
70
Search
60
Structured Output
60
Tool Calling
60
Long Context
50
Agents
50
Code
50
Vision
20

定價

輸入價格免費
輸出價格免費
混合價格(3:1)免費
快取讀取價格$0.0028 / 1M tokens

速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

供應商價格排行

供應商價格排行

2 個供應商

最便宜: Qiniu最貴: Xiaomi
供應商輸入輸出
1Qiniu最便宜
$0.1
$0.3
2Xiaomi
$0.14
$0.28

比較該模型在不同 API 供應商之間的定價。

外部連結

LLM StatsArtificial Analysis