GPT-4 Turbo vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 9.0. MiMo-V2.6-Flash is 85.7x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 9.0, ranking #29 overall.
On price, MiMo-V2.6-Flash is roughly 85.7x 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 GPT-4 Turbo
- you want predictable pricing at $10.00/M input and $30.00/M output
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 85.7x 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
At a glance
The differences that matter most.
Individual benchmarks
6 reported for GPT-4 Turbo · 16 for MiMo-V2.6-Flash
GPT-4 Turbo and MiMo-V2.6-Flashdon'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, GPT-4 Turbo ($10.00/1M tokens) is 71.4x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 107.1x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, GPT-4 Turbo 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 GPT-4 Turbo's 128,000 tokens. Only GPT-4 Turbo specifies output context (4,096 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Flash supports multimodal inputs, whereas GPT-4 Turbo does not.
MiMo-V2.6-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
MiMo-V2.6-Flash
License
Usage and distribution terms
GPT-4 Turbo is licensed under a proprietary license, while MiMo-V2.6-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-4 Turbo was released on 2024-04-09, while MiMo-V2.6-Flash was released on 2026-09-22.
MiMo-V2.6-Flash is 30 months newer than GPT-4 Turbo.
Apr 9, 2024
2.5 years ago
Sep 22, 2026
0 days ago
2.5yr newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while MiMo-V2.6-Flash's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. MiMo-V2.6-Flash is available from Xiaomi.
GPT-4 Turbo
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs MiMo-V2.6-Flash.