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Grok 4 Fast vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Grok 4 Fast leads with 39.0% higher average benchmark score. Grok 4 Fast offers 1.8M more tokens in context window than Llama 3.2 90B Instruct. Both models have similar pricing. Llama 3.2 90B Instruct is available on 5 providers. Overall, Grok 4 Fast is the stronger choice for coding tasks.
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xAI
Grok 4 Fast is a multimodal language model developed by xAI. It achieves strong performance with an average score of 73.0% across 7 benchmarks. It excels particularly in SimpleQA (95.0%), HMMT 2025 (93.3%), AIME 2025 (92.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
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Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
11 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Grok 4 Fast
xAI
2025-08-28
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Pricing Comparison
Cost per million tokens (USD)
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Grok 4 Fast
Input:$0.20
Output:$0.50($0.05 cheaper)
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Grok 4 Fast
Average Score:85.7%(+39.0%)
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Llama 3.2 90B Instruct
Average Score:46.7%
Provider Availability & Performance
Available providers and their performance metrics
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Grok 4 Fast
1 providers
xAI
Throughput: 90 tok/s
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Llama 3.2 90B Instruct
5 providers
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Grok 4 Fast
Avg Score:85.7%(+39.0%)
Providers:1
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Llama 3.2 90B Instruct
Avg Score:46.7%
Providers:5