Grok 4.7 vs Llama 4 Scout
Grok 4.7 leads the LLM Stats Score 48.5 to 7.8. Llama 4 Scout is 22.2x cheaper per token.
xAI · Meta · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 7.8, ranking #22 overall.
On price, Llama 4 Scout is roughly 22.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 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 Llama 4 Scout
- cost matters — it's about 22.2x cheaper per token
- you process long inputs — it offers a 10,000,000 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 · 12 for Llama 4 Scout
Grok 4.7 and Llama 4 Scoutdon'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 25.0x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 20.0x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, Grok 4.7 is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Grok 4.7's 500,000 tokens. Only Llama 4 Scout specifies output context (10,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Grok 4.7 and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok 4.7
Llama 4 Scout
License
Usage and distribution terms
Grok 4.7 is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
Grok 4.7 was released on 2026-09-21, while Llama 4 Scout was released on 2025-04-05.
Grok 4.7 is 18 months newer than Llama 4 Scout.
Sep 21, 2026
1 days ago
1.5yr newerApr 5, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-05-01, while Llama 4 Scout'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 Llama 4 Scout's cutoff date.
May 2026
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Provider Availability
Grok 4.7 is available from xAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
Grok 4.7
Llama 4 Scout
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and Llama 4 Scout side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs Llama 4 Scout.