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Grok 4 Fast vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Grok 4 Fast leads with 52.9% higher average benchmark score. Grok 4 Fast offers 1.8M more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $0.67 cheaper per million tokens. Grok 4 Fast supports multimodal inputs. 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 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
11 months newer
Llama 3.2 3B 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
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.67 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Grok 4 Fast
Average Score:85.7%(+52.9%)
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Llama 3.2 3B Instruct
Average Score:32.8%
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 3B Instruct
1 providers
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Grok 4 Fast
Avg Score:85.7%(+52.9%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:32.8%
Providers:1