GPT-5 High vs MiMo-V2-Flash
GPT-5 High leads the LLM Stats Score 34.0 to 30.7. MiMo-V2-Flash is 22.9x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-5 High leads the overall LLM Stats Score 34.0 to 30.7, ranking #94 overall.
In the 2 individual benchmarks reported for both models, GPT-5 High wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2-Flash is roughly 22.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 High 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 High
- overall performance matters — it scores 34.0 and ranks #94 on LLM Stats
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 400,000 token context window
Choose MiMo-V2-Flash
- cost matters — it's about 22.9x 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.
Individual benchmarks
2 reported for GPT-5 High · 15 for MiMo-V2-Flash
GPT-5 High outperforms in 2 benchmarks (AIME 2025, GPQA), while MiMo-V2-Flash is better at 0 benchmarks.
GPT-5 High significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5 High ($1.25/1M tokens) is 12.5x more expensive than MiMo-V2-Flash ($0.10/1M tokens).
For output processing, GPT-5 High ($10.00/1M tokens) is 33.3x more expensive than MiMo-V2-Flash ($0.30/1M tokens).
In conclusion, GPT-5 High 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 High accepts 400,000 input tokens compared to MiMo-V2-Flash's 256,000 tokens. GPT-5 High 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 High supports multimodal inputs, whereas MiMo-V2-Flash does not.
GPT-5 High can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 High
MiMo-V2-Flash
License
Usage and distribution terms
GPT-5 High 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 High 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 High.
Aug 7, 2025
1.1 years ago
Dec 16, 2025
9 months ago
4mo newerKnowledge Cutoff
When training data ends
GPT-5 High has a documented knowledge cutoff of 2024-09-30, while MiMo-V2-Flash's cutoff date is not specified.
We can confirm GPT-5 High's training data extends to 2024-09-30, but cannot make a direct comparison without MiMo-V2-Flash's cutoff date.
Sep 2024
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Provider Availability
GPT-5 High is available from OpenAI. MiMo-V2-Flash is available from Xiaomi.
GPT-5 High
MiMo-V2-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 High and MiMo-V2-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 High vs MiMo-V2-Flash.