GPT-5.1 Thinking vs MiMo-V2-Flash
GPT-5.1 Thinking leads the LLM Stats Score 36.6 to 30.7. MiMo-V2-Flash is 22.9x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-5.1 Thinking leads the overall LLM Stats Score 36.6 to 30.7, ranking #74 overall.
In the 3 individual benchmarks reported for both models, GPT-5.1 Thinking 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-5.1 Thinking 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-5.1 Thinking
- overall performance matters — it scores 36.6 and ranks #74 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for GPT-5.1 Thinking · 15 for MiMo-V2-Flash
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.
Human preference
Blind head-to-head votes and playground preference scores
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
Documented input modalities across available providers
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
10 months ago
Dec 16, 2025
9 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
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.
FAQ
Common questions about GPT-5.1 Thinking vs MiMo-V2-Flash.