GPT-5 mini vs MiMo-V2-Flash
GPT-5 mini and MiMo-V2-Flash are closely matched at 27.1 and 30.5 on the LLM Stats Score. MiMo-V2-Flash is 4.6x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-5 mini and MiMo-V2-Flash are closely matched on the overall LLM Stats Score at 27.1 and 30.5.
In the 4 individual benchmarks reported for both models, MiMo-V2-Flash wins 3; this is a narrower head-to-head signal than the composite indexes.
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 LLM Stats indexes, shared benchmarks, 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 value its reported benchmark strengths — it wins 3 of 4 exact shared results
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for GPT-5 mini · 15 for MiMo-V2-Flash
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.
Human preference
Blind head-to-head votes and playground 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
Documented input modalities across available providers
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
1.2 years ago
Dec 16, 2025
10 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.