MiMo-V2.6-Flash vs o4-mini
MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 27.5. MiMo-V2.6-Flash is 11.0x cheaper per token.
Xiaomi · OpenAI · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 27.5, ranking #29 overall.
On price, MiMo-V2.6-Flash is roughly 11.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Flash 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-Flash
- overall performance matters — it scores 45.6 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 11.0x 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 o4-mini
- you want predictable pricing at $1.10/M input and $4.40/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for MiMo-V2.6-Flash · 14 for o4-mini
MiMo-V2.6-Flash and o4-minidon'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-Flash ($0.14/1M tokens) is 7.9x cheaper than o4-mini ($1.10/1M tokens).
For output processing, MiMo-V2.6-Flash ($0.28/1M tokens) is 15.7x cheaper than o4-mini ($4.40/1M tokens).
In conclusion, o4-mini is more expensive than MiMo-V2.6-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to o4-mini's 200,000 tokens. Only o4-mini specifies output context (100,000 tokens).
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.6-Flash and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.6-Flash
o4-mini
License
Usage and distribution terms
MiMo-V2.6-Flash is licensed under MIT, while o4-mini 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-Flash was released on 2026-09-22, while o4-mini was released on 2025-04-16.
MiMo-V2.6-Flash is 17 months newer than o4-mini.
Sep 22, 2026
0 days ago
1.4yr newerApr 16, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
o4-mini has a documented knowledge cutoff of 2024-05-31, while MiMo-V2.6-Flash's cutoff date is not specified.
We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.
—
May 2024
Provider Availability
MiMo-V2.6-Flash is available from Xiaomi. o4-mini is available from OpenAI.
MiMo-V2.6-Flash
o4-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Flash and o4-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Flash vs o4-mini.