Grok 4.7 vs MiMo-V2.5-Pro
Grok 4.7 leads the LLM Stats Score 48.5 to 25.7. MiMo-V2.5-Pro is 5.5x cheaper per token.
xAI · Xiaomi · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 25.7, ranking #23 overall.
On price, MiMo-V2.5-Pro is roughly 5.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5-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 Grok 4.7
- overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose MiMo-V2.5-Pro
- cost matters — it's about 5.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
23 reported for Grok 4.7 · 31 for MiMo-V2.5-Pro
Grok 4.7 and MiMo-V2.5-Prodon'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, Grok 4.7 ($2.00/1M tokens) is 4.6x more expensive than MiMo-V2.5-Pro ($0.43/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 6.9x more expensive than MiMo-V2.5-Pro ($0.87/1M tokens).
In conclusion, Grok 4.7 is more expensive than MiMo-V2.5-Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to Grok 4.7's 500,000 tokens. Only MiMo-V2.5-Pro specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Grok 4.7 supports multimodal inputs, whereas MiMo-V2.5-Pro does not.
Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok 4.7
MiMo-V2.5-Pro
License
Usage and distribution terms
Grok 4.7 is licensed under a proprietary license, while MiMo-V2.5-Pro 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
Grok 4.7 was released on 2026-09-21, while MiMo-V2.5-Pro was released on 2026-04-27.
Grok 4.7 is 5 months newer than MiMo-V2.5-Pro.
Sep 21, 2026
0 days ago
4mo newerApr 27, 2026
4 months ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while MiMo-V2.5-Pro's cutoff date is not specified.
We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without MiMo-V2.5-Pro's cutoff date.
Jun 2026
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Provider Availability
Grok 4.7 is available from xAI. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.
Grok 4.7
MiMo-V2.5-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs MiMo-V2.5-Pro.