MiMo-V2.5-Pro
XiaomiOpen WeightMIT · Commercial OK
Description
MiMo-V2.5-Pro is Xiaomi's 1.02T-parameter sparse Mixture-of-Experts language model with 42B active parameters and a 1M-token context window. It inherits the MiMo-V2-Flash hybrid-attention and Multi-Token Prediction design, extends context during pre-training up to 1M tokens, and uses supervised fine-tuning, domain-specialized reinforcement learning, and Multi-Teacher On-Policy Distillation to improve complex software engineering, long-horizon agentic tasks, and ultra-long-context coherence.
Release Date
2026-04-22
Parameters
1.0T
Context Length
1.0M
Modalities
audio, text
Capability Radar
28
general
59
coding
87
reasoning
64
science
70
agents
30
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 55 | 48.0 | LS |
| Code Ranking | 134 | 76.0 | AA |
| General Ranking | 81 | 69.0 | AA |
| Science | 103 | 73.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
TAU3-Bench
72.9%SR
WildClawBench
43.0%SR
Finance Agent v2
41.5%
Code
FrontierSWE (Impl.)
340.0%SR
MiMo Coding Bench
73.7%SR
Claw-Eval
64.0%SR
General
C-Eval
91.5%SR
MMLU
89.4%SR
Global-MMLU
83.6%SR
TriviaQA
81.3%SR
SWE-bench Verified (Agentless)
35.7%SR
Language
MMLU-Redux
92.8%SR
CMMLU
90.2%SR
MMLU-Pro
68.5%SR
Long Context
GraphWalks
62.0%SR
Math
GSM8k
99.6%SR
MATH
86.2%SR
AIMEMAA
37.3%SR
Reasoning
ARC-C
97.2%SR
HellaSwagAI2 (2019)
89.8%SR
BBH
88.4%SR
DROP
86.3%SR
Winogrande
85.6%SR
SWE-Bench Verified
78.9%SR
HumanEval+
75.6%SR
MBPP+
74.1%SR
Terminal-Bench 2.0Stanford × Laude Institute (2026)
68.4%SR
GPQANYU + Cohere + Anthropic (2023)
66.7%SR
SWE-Bench ProPrinceton NLP (2024)
57.2%SR
LiveCodeBench v6
39.6%SR
Humanity's Last Exam
34.0%SR
AA Evaluation Indices
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))94.2
Gpqa(NYU + Cohere + Anthropic (2023))86.6
Ifbench(Google Research (2023))79.9
Lcr(Artificial Analysis)79.7
Terminalbench V2 165.2
Coding Index(Artificial Analysis)60.2
Scicode(UIUC + Argonne National Lab (2024))50.6
Terminalbench Hard(Stanford × Laude Institute (2026))43.2
Hle(Center for AI Safety + Scale AI (2025))35.7
Intelligence Index(Artificial Analysis)26.0
Tau Banking9.9
Terminalbench V4 00.0
LLM Stats Category Scores
(LLM Stats (zeroeval))Language90
Legal80
Math80
Reasoning80
Frontend Development80
Healthcare80
Physics70
Finance70
General70
Biology70
Chemistry70
Code70
Tool Calling70
Long Context60
Agents60
Coding40
Vision30
Pricing
Input Price$0.435 / 1M tokens
Output Price$0.87 / 1M tokens
Blended Price (3:1)$0.544 / 1M tokens
Cache Read Price$0.0036 / 1M tokens
Speed
Tokens/sec23.8
Time to First Token1.57s
Time to Answer85.67s
Provider Price Ranking
Provider Price Ranking
4 providers
Cheapest: XiaomiMost Expensive: EmpirioLabs AI
ProviderInputOutput
1XiaomiCheapest
$0
$0
2DeepInfra
$0
$0
3Novita
$0
$0.00001
4EmpirioLabs AI
$2.175
$4.35
Compare pricing across different API providers for this model.