Model Comparison
GPT-5.6 Terra vs MiMo-V2-FlashWhich is better in 2026?
GPT-5.6 Terra significantly outperforms across most benchmarks. MiMo-V2-Flash is 37.5x cheaper per token.
Verdict: GPT-5.6 Terra vs MiMo-V2-Flash — which is better?
GPT-5.6 Terra (by OpenAI) and MiMo-V2-Flash (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5.6 Terra outperforms in 2 benchmarks (BrowseComp, GPQA), while MiMo-V2-Flash is better at 0 benchmarks. GPT-5.6 Terra significantly outperforms across most benchmarks.
On price, MiMo-V2-Flash is roughly 37.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.6 Terra if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose MiMo-V2-Flash if…
- cost matters — it's about 37.5x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.6 Terra outperforms in 2 benchmarks (BrowseComp, GPQA), while MiMo-V2-Flash is better at 0 benchmarks.
GPT-5.6 Terra significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Terra ($2.50/1M tokens) is 25.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).
For output processing, GPT-5.6 Terra ($15.00/1M tokens) is 50.0x more expensive than MiMo-V2-Flash ($0.30/1M tokens).
In conclusion, GPT-5.6 Terra 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-5.6 Terra accepts 1,050,000 input tokens compared to MiMo-V2-Flash's 256,000 tokens. GPT-5.6 Terra 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-5.6 Terra supports multimodal inputs, whereas MiMo-V2-Flash does not.
GPT-5.6 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.6 Terra
MiMo-V2-Flash
License
Usage and distribution terms
GPT-5.6 Terra 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-5.6 Terra was released on 2026-07-09, while MiMo-V2-Flash was released on 2025-12-16.
GPT-5.6 Terra is 7 months newer than MiMo-V2-Flash.
Jul 9, 2026
2 weeks ago
6mo newerDec 16, 2025
7 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while MiMo-V2-Flash's cutoff date is not specified.
We can confirm GPT-5.6 Terra's training data extends to 2026-02-16, but cannot make a direct comparison without MiMo-V2-Flash's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Terra is available from OpenAI. MiMo-V2-Flash is available from Xiaomi.
GPT-5.6 Terra
MiMo-V2-Flash
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.6 Terra and MiMo-V2-Flash side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.6 Terra vs MiMo-V2-Flash.