Grok 4.7 vs Llama 3.2 90B Instruct
Grok 4.7 leads the LLM Stats Score 48.5 to 5.2. Llama 3.2 90B Instruct is 8.3x cheaper per token.
xAI · Meta · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 5.2, ranking #23 overall.
On price, Llama 3.2 90B Instruct is roughly 8.3x 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 — 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 Llama 3.2 90B Instruct
- cost matters — it's about 8.3x 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 · 13 for Llama 3.2 90B Instruct
Grok 4.7 and Llama 3.2 90B Instructdon'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 5.7x more expensive than Llama 3.2 90B Instruct ($0.35/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 15.0x more expensive than Llama 3.2 90B Instruct ($0.40/1M tokens).
In conclusion, Grok 4.7 is more expensive than Llama 3.2 90B Instruct.*
* 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 Llama 3.2 90B Instruct's 128,000 tokens. Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Grok 4.7 and Llama 3.2 90B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok 4.7
Llama 3.2 90B Instruct
License
Usage and distribution terms
Grok 4.7 is licensed under a proprietary license, while Llama 3.2 90B Instruct uses Llama 3.2.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.2
Open weights
Release Timeline
When each model was launched
Grok 4.7 was released on 2026-09-21, while Llama 3.2 90B Instruct was released on 2024-09-25.
Grok 4.7 is 24 months newer than Llama 3.2 90B Instruct.
Sep 21, 2026
1 days ago
2.0yr newerSep 25, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Llama 3.2 90B Instruct'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 Llama 3.2 90B Instruct's cutoff date.
Jun 2026
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Provider Availability
Grok 4.7 is available from xAI. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic.
Grok 4.7
Llama 3.2 90B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and Llama 3.2 90B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs Llama 3.2 90B Instruct.