Grok 4.7 vs MiniMax M2
Grok 4.7 leads the LLM Stats Score 48.5 to 26.9. MiniMax M2 is 5.7x cheaper per token.
xAI · MiniMax · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 26.9, ranking #22 overall.
On price, MiniMax M2 is roughly 5.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M2 also accepts a larger context window (1,000,000 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 #22 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose MiniMax M2
- cost matters — it's about 5.7x cheaper per token
- you process long inputs — it offers a 1,000,000 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 · 16 for MiniMax M2
Grok 4.7 and MiniMax M2don'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 6.7x more expensive than MiniMax M2 ($0.30/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 5.0x more expensive than MiniMax M2 ($1.20/1M tokens).
In conclusion, Grok 4.7 is more expensive than MiniMax M2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiniMax M2 accepts 1,000,000 input tokens compared to Grok 4.7's 500,000 tokens. Only MiniMax M2 specifies output context (1,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Grok 4.7 supports multimodal inputs, whereas MiniMax M2 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
MiniMax M2
License
Usage and distribution terms
Grok 4.7 is licensed under a proprietary license, while MiniMax M2 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 MiniMax M2 was released on 2025-10-27.
Grok 4.7 is 11 months newer than MiniMax M2.
Sep 21, 2026
0 days ago
10mo newerOct 27, 2025
10 months ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-05-01, while MiniMax M2's cutoff date is not specified.
We can confirm Grok 4.7's training data extends to 2026-05-01, but cannot make a direct comparison without MiniMax M2's cutoff date.
May 2026
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Provider Availability
Grok 4.7 is available from xAI. MiniMax M2 is available from MiniMax, Novita.
Grok 4.7
MiniMax M2
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and MiniMax M2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs MiniMax M2.