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MiMo-V2.5 vs Qwen3 Coder Flash (Comparative Analysis)

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Comparative Analysis: MiMo-V2.5 vs. Qwen3 Coder Flash
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Overview

Qwen3 Coder Flash was released 7 months before MiMo-V2.5.
MiMo-V2.5MiMo-V2.5
Qwen3 Coder FlashQwen3 Coder Flash
Model Provider
The organization behind this AI's development
Xiaomi logoXiaomi
Qwen logoQwen
Input Context Window
Maximum input tokens this model can process at once
1.1M
tokens
1M
tokens
Output Token Limit
Maximum output tokens this model can generate at once
131.1K
tokens
65.5K
tokens
Release Date
When this model first became publicly available
April 22nd, 2026
September 17th, 2025
Knowledge Cutoff
Latest training-data date reported by the provider
Not reported
June 30, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
MiMo-V2.5
Qwen3 Coder Flash
Input Types
Supported input formats
📝Text🎵Audio🖼️Image🎬Video
📝Text
Reasoning Controls
Defaults and configurable reasoning effort
Optional
Not reported
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
OtherQwen3
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
Available on HuggingFace →Proprietary

Pricing

MiMo-V2.5 is roughly 0.7x less expensive compared to Qwen3 Coder Flash for input tokens and roughly 0.3x less expensive for output tokens.
MiMo-V2.5MiMo-V2.5
Qwen3 Coder FlashQwen3 Coder Flash
Short Context Pricing
Base rates before a long-context threshold applies
Input Token Cost
Cost per million input tokens
$0.14
per million tokens
$0.20
per million tokens
Output Token Cost
Cost per million output tokens
$0.28
per million tokens
$0.97
per million tokens
Cache Read Cost
Cost to reuse cached input tokens
$0.0028
per million tokens
$0.04
per million tokens
Cache Write Cost
Cost to write input tokens to the cache
Not specified
$0.24
per million tokens
Long Context Pricing
Rates for prompts with 32,000 or more tokens
Input Token Cost
Long-context input cost per million tokens
Not specified
$0.33
per million tokens
Output Token Cost
Long-context output cost per million tokens
Not specified
$1.63
per million tokens
Cache Read Cost
Long-context cache read cost per million tokens
Not specified
$0.07
per million tokens
Cache Write Cost
Long-context cache write cost per million tokens
Not specified
$0.41
per million tokens
Long Context Pricing
Rates for prompts with 128,000 or more tokens
Input Token Cost
Long-context input cost per million tokens
Not specified
$0.52
per million tokens
Output Token Cost
Long-context output cost per million tokens
Not specified
$2.60
per million tokens
Cache Read Cost
Long-context cache read cost per million tokens
Not specified
$0.10
per million tokens
Cache Write Cost
Long-context cache write cost per million tokens
Not specified
$0.65
per million tokens

Benchmarks

Compare relevant benchmarks between MiMo-V2.5 and Qwen3 Coder Flash.
MiMo-V2.5MiMo-V2.5
Qwen3 Coder FlashQwen3 Coder Flash
Intelligence Index
Overall model quality across independent evaluations
37.2
(Artificial Analysis index; higher is better)
Benchmark not available.
Coding Index
Programming performance across independent evaluations
56.8
(Artificial Analysis index; higher is better)
Benchmark not available.
Agentic Index
Ability to complete multi-step agentic tasks
23.7
(Artificial Analysis index; higher is better)
Benchmark not available.
Best Design Arena Score
Highest human-preference Elo score across design arenas
1,301 Elo
(#16 in Game Dev (56.5% win rate))
Benchmark not available.

At a Glance

Quick overview of what makes MiMo-V2.5 and Qwen3 Coder Flash unique.
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.
Qwen logoQwen3 Coder Flash by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.20/M input and $0.97/M output tokens. Released September 17th, 2025.

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