GPT-5 mini vs MiMo-V2-Flash
MiMo-V2-Flash shows notably better performance in the majority of benchmarks. MiMo-V2-Flash is 4.6x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-5 mini outperforms in 1 benchmarks (HMMT 2025), while MiMo-V2-Flash is better at 3 benchmarks (AIME 2025, GPQA, Humanity's Last Exam). MiMo-V2-Flash shows notably better performance in the majority of benchmarks.
On price, MiMo-V2-Flash is roughly 4.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 mini also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT-5 mini
- you process long inputs — it offers a 400,000 token context window
Choose MiMo-V2-Flash
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- cost matters — it's about 4.6x cheaper per token
- you want the most recent training data — it shipped Dec 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 mini outperforms in 1 benchmarks (HMMT 2025), while MiMo-V2-Flash is better at 3 benchmarks (AIME 2025, GPQA, Humanity's Last Exam).
MiMo-V2-Flash shows notably better performance in the majority of benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5 mini ($0.25/1M tokens) is 2.5x more expensive than MiMo-V2-Flash ($0.10/1M tokens).
For output processing, GPT-5 mini ($2.00/1M tokens) is 6.7x more expensive than MiMo-V2-Flash ($0.30/1M tokens).
In conclusion, GPT-5 mini is more expensive than MiMo-V2-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 mini accepts 400,000 input tokens compared to MiMo-V2-Flash's 256,000 tokens. GPT-5 mini can generate longer responses up to 128,000 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
GPT-5 mini supports multimodal inputs, whereas MiMo-V2-Flash does not.
GPT-5 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 mini
MiMo-V2-Flash
License
Usage and distribution terms
GPT-5 mini is licensed under a proprietary license, while MiMo-V2-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-5 mini was released on 2025-08-07, while MiMo-V2-Flash was released on 2025-12-16.
MiMo-V2-Flash is 4 months newer than GPT-5 mini.
Aug 7, 2025
1.0 years ago
Dec 16, 2025
8 months ago
4mo newerKnowledge Cutoff
When training data ends
GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while MiMo-V2-Flash's cutoff date is not specified.
We can confirm GPT-5 mini's training data extends to 2024-05-30, but cannot make a direct comparison without MiMo-V2-Flash's cutoff date.
May 2024
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Provider Availability
GPT-5 mini is available from OpenAI. MiMo-V2-Flash is available from Xiaomi.
GPT-5 mini
MiMo-V2-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 mini and MiMo-V2-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 mini vs MiMo-V2-Flash.