Magica logo

Gemini 3.1 Flash Lite vs MiMo-V2.5 (Comparative Analysis)

Loading comparison form...
Comparative Analysis: Gemini 3.1 Flash Lite vs. MiMo-V2.5
Want to try out these models side by side?Try Magica for free

Overview

MiMo-V2.5 was released 15 days before Gemini 3.1 Flash Lite.
Gemini 3.1 Flash LiteGemini 3.1 Flash Lite
MiMo-V2.5MiMo-V2.5
Model Provider
The organization behind this AI's development
Google logoGoogle
Xiaomi logoXiaomi
Input Context Window
Maximum input tokens this model can process at once
1M
tokens
1.1M
tokens
Output Token Limit
Maximum output tokens this model can generate at once
65.5K
tokens
131.1K
tokens
Release Date
When this model first became publicly available
May 7th, 2026
April 22nd, 2026

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Gemini 3.1 Flash Lite
MiMo-V2.5
Input Types
Supported input formats
📝Text🖼️Image🎬Video📁File🎵Audio
📝Text🎵Audio🖼️Image🎬Video
Reasoning Controls
Defaults and configurable reasoning effort
Enabled by defaultEffort: High, Medium, Low, MinimalDefault: Minimal
Optional
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
GeminiOther
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

Gemini 3.1 Flash Lite is roughly 1.8x more expensive compared to MiMo-V2.5 for input tokens and roughly 5.4x more expensive for output tokens.
Gemini 3.1 Flash LiteGemini 3.1 Flash Lite
MiMo-V2.5MiMo-V2.5
Input Token Cost
Cost per million input tokens
$0.25
per million tokens
$0.14
per million tokens
Output Token Cost
Cost per million output tokens
$1.50
per million tokens
$0.28
per million tokens
Web Search Cost
Additional cost for each web search operation
$0.014
per search
Not specified
Cache Read Cost
Cost to reuse cached input tokens
$0.02
per million tokens
$0.0028
per million tokens
Cache Write Cost
Cost to write input tokens to the cache
$0.08
per million tokens
Not specified
Reasoning Token Cost
Cost for internal reasoning tokens
$1.50
per million tokens
Not specified
Image Input Cost
Additional cost for each image input
$0.00000025
per image
Not specified
Audio Input Cost
Additional cost for audio input
$0.0000005
per unit
Not specified
Audio Cache Cost
Cost to reuse cached audio input tokens
$0.05
per million tokens
Not specified

Benchmarks

Compare relevant benchmarks between Gemini 3.1 Flash Lite and MiMo-V2.5.
Gemini 3.1 Flash LiteGemini 3.1 Flash Lite
MiMo-V2.5MiMo-V2.5
Intelligence Index
Overall model quality across independent evaluations
Benchmark not available.
37.2
(Artificial Analysis index; higher is better)
Coding Index
Programming performance across independent evaluations
Benchmark not available.
56.8
(Artificial Analysis index; higher is better)
Agentic Index
Ability to complete multi-step agentic tasks
Benchmark not available.
23.7
(Artificial Analysis index; higher is better)
Best Design Arena Score
Highest human-preference Elo score across design arenas
Benchmark not available.
1,291 Elo
(#19 in Game Dev (55.3% win rate))

At a Glance

Quick overview of what makes Gemini 3.1 Flash Lite and MiMo-V2.5 unique.
Google logoGemini 3.1 Flash Lite by Google understands both text and images, handles audio, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.25/M input and $1.50/M output tokens. Released May 7th, 2026.
Xiaomi logoMiMo-V2.5 by Xiaomi understands both text and images, handles audio, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1.1M token context window. Very affordable at $0.14/M input and $0.28/M output tokens. Released April 22nd, 2026.

Explore More Comparisons

Compare your models with top performers across different categories

Compare MiMo-V2.5 with: