MiMo-V2.6-Pro vs o1-preview
MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 16.6. MiMo-V2.6-Pro is 48.3x cheaper per token.
Xiaomi · OpenAI · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 16.6, ranking #19 overall.
On price, MiMo-V2.6-Pro is roughly 48.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Pro also accepts a larger context window (1,048,576 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 MiMo-V2.6-Pro
- overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 48.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
- you need open weights you can self-host or fine-tune
Choose o1-preview
- you want predictable pricing at $15.00/M input and $60.00/M output
At a glance
The differences that matter most.
Individual benchmarks
18 reported for MiMo-V2.6-Pro · 8 for o1-preview
MiMo-V2.6-Pro and o1-previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.6-Pro ($0.43/1M tokens) is 34.5x cheaper than o1-preview ($15.00/1M tokens).
For output processing, MiMo-V2.6-Pro ($0.87/1M tokens) is 69.0x cheaper than o1-preview ($60.00/1M tokens).
In conclusion, o1-preview is more expensive than MiMo-V2.6-Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to o1-preview's 128,000 tokens. Only o1-preview specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Pro supports multimodal inputs, whereas o1-preview does not.
MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.6-Pro
o1-preview
License
Usage and distribution terms
MiMo-V2.6-Pro is licensed under MIT, while o1-preview uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiMo-V2.6-Pro was released on 2026-09-22, while o1-preview was released on 2024-09-12.
MiMo-V2.6-Pro is 25 months newer than o1-preview.
Sep 22, 2026
0 days ago
2.0yr newerSep 12, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiMo-V2.6-Pro is available from Xiaomi. o1-preview is available from OpenAI, Azure.
MiMo-V2.6-Pro
o1-preview
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Pro and o1-preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Pro vs o1-preview.