GLM-5V-Turbo vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads the LLM Stats Score 44.8 to 30.0. MiMo-V2.6-Flash is 10.9x cheaper per token.
Zhipu AI · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 44.8 to 30.0, ranking #45 overall.
On price, MiMo-V2.6-Flash is roughly 10.9x 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 GLM-5V-Turbo
- you want predictable pricing at $1.20/M input and $4.00/M output
Choose MiMo-V2.6-Flash
- overall performance matters — it scores 44.8 and ranks #45 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- cost matters — it's about 10.9x 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
19 reported for GLM-5V-Turbo · 16 for MiMo-V2.6-Flash
GLM-5V-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, GLM-5V-Turbo ($1.20/1M tokens) is 8.6x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, GLM-5V-Turbo ($4.00/1M tokens) is 14.3x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, GLM-5V-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 GLM-5V-Turbo's 200,000 tokens. Only GLM-5V-Turbo specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GLM-5V-Turbo and MiMo-V2.6-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-5V-Turbo
MiMo-V2.6-Flash
License
Usage and distribution terms
GLM-5V-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
GLM-5V-Turbo was released on 2026-04-02, while MiMo-V2.6-Flash was released on 2026-09-22.
MiMo-V2.6-Flash is 6 months newer than GLM-5V-Turbo.
Apr 2, 2026
6 months ago
Sep 22, 2026
1 months ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5V-Turbo is available from ZAI. MiMo-V2.6-Flash is available from Xiaomi.
GLM-5V-Turbo
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5V-Turbo and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5V-Turbo vs MiMo-V2.6-Flash.