Grok 4.7 vs MiMo-V2.5
Grok 4.7 leads the LLM Stats Score 48.5 to 36.2. MiMo-V2.5 is 14.3x cheaper per token.
xAI · Xiaomi · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 36.2, ranking #23 overall.
On price, MiMo-V2.5 is roughly 14.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5 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 coding and agents — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose MiMo-V2.5
- cost matters — it's about 14.3x 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 · 14 for MiMo-V2.5
Grok 4.7 and MiMo-V2.5don'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 11.9x more expensive than MiMo-V2.5 ($0.17/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 17.9x more expensive than MiMo-V2.5 ($0.34/1M tokens).
In conclusion, Grok 4.7 is more expensive than MiMo-V2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.5 accepts 1,048,576 input tokens compared to Grok 4.7's 500,000 tokens. Only MiMo-V2.5 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Grok 4.7 and MiMo-V2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok 4.7
MiMo-V2.5
License
Usage and distribution terms
Grok 4.7 is licensed under a proprietary license, while MiMo-V2.5 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 was released on 2026-04-22.
Grok 4.7 is 5 months newer than MiMo-V2.5.
Sep 21, 2026
0 days ago
5mo newerApr 22, 2026
5 months ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while MiMo-V2.5'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's cutoff date.
Jun 2026
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Provider Availability
Grok 4.7 is available from xAI. MiMo-V2.5 is available from Novita, DeepInfra.
Grok 4.7
MiMo-V2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and MiMo-V2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs MiMo-V2.5.