Model Comparison
GPT-5.1 Thinking vs MiMo-V2-FlashWhich is better in 2026?
GPT-5.1 Thinking shows notably better performance in the majority of benchmarks. MiMo-V2-Flash is 22.9x cheaper per token.
Verdict: GPT-5.1 Thinking vs MiMo-V2-Flash — which is better?
GPT-5.1 Thinking (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-5.1 Thinking outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while MiMo-V2-Flash is better at 1 benchmark (AIME 2025). GPT-5.1 Thinking shows notably better performance in the majority of benchmarks.
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-5.1 Thinking also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.1 Thinking if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- you process long inputs — it offers a 400,000 token context window
Choose MiMo-V2-Flash if…
- 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
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.1 Thinking outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while MiMo-V2-Flash is better at 1 benchmark (AIME 2025).
GPT-5.1 Thinking shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.1 Thinking ($1.25/1M tokens) is 12.5x more expensive than MiMo-V2-Flash ($0.10/1M tokens).
For output processing, GPT-5.1 Thinking ($10.00/1M tokens) is 33.3x more expensive than MiMo-V2-Flash ($0.30/1M tokens).
In conclusion, GPT-5.1 Thinking 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-5.1 Thinking accepts 400,000 input tokens compared to MiMo-V2-Flash's 256,000 tokens. GPT-5.1 Thinking 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-5.1 Thinking supports multimodal inputs, whereas MiMo-V2-Flash does not.
GPT-5.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.1 Thinking
MiMo-V2-Flash
License
Usage and distribution terms
GPT-5.1 Thinking 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-5.1 Thinking was released on 2025-11-12, while MiMo-V2-Flash was released on 2025-12-16.
MiMo-V2-Flash is 1 month newer than GPT-5.1 Thinking.
Nov 12, 2025
8 months ago
Dec 16, 2025
7 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.1 Thinking is available from OpenAI. MiMo-V2-Flash is available from Xiaomi.
GPT-5.1 Thinking
MiMo-V2-Flash
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.1 Thinking and MiMo-V2-Flash side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.1 Thinking vs MiMo-V2-Flash.