Grok 4.7 vs Pixtral-12B
Grok 4.7 leads the LLM Stats Score 48.5 to -1.6. Pixtral-12B is 20.0x cheaper per token.
xAI · Mistral AI · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to -1.6, ranking #23 overall.
On price, Pixtral-12B is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.7 also accepts a larger context window (500,000 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 #23 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Pixtral-12B
- cost matters — it's about 20.0x cheaper per token
- 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 · 12 for Pixtral-12B
Grok 4.7 and Pixtral-12Bdon'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 13.3x more expensive than Pixtral-12B ($0.15/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 40.0x more expensive than Pixtral-12B ($0.15/1M tokens).
In conclusion, Grok 4.7 is more expensive than Pixtral-12B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok 4.7 accepts 500,000 input tokens compared to Pixtral-12B's 128,000 tokens. Only Pixtral-12B specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
Both Grok 4.7 and Pixtral-12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok 4.7
Pixtral-12B
License
Usage and distribution terms
Grok 4.7 is licensed under a proprietary license, while Pixtral-12B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Grok 4.7 was released on 2026-09-21, while Pixtral-12B was released on 2024-09-17.
Grok 4.7 is 24 months newer than Pixtral-12B.
Sep 21, 2026
1 days ago
2.0yr newerSep 17, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Pixtral-12B'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 Pixtral-12B's cutoff date.
Jun 2026
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Provider Availability
Grok 4.7 is available from xAI. Pixtral-12B is available from Mistral AI.
Grok 4.7
Pixtral-12B
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and Pixtral-12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs Pixtral-12B.