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Llama 3.2 11B Instruct vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 7.2% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Llama 3.2 11B Instruct. Both models have similar pricing. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
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Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
6 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Llama 4 Scout
Meta
2025-04-05
Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($0.28 cheaper)
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Llama 4 Scout
Input:$0.08
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Llama 3.2 11B Instruct
Average Score:46.7%
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Llama 4 Scout
Average Score:53.8%(+7.2%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 11B Instruct
6 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 108 tok/s
Latency: 0.5ms
Fireworks
Throughput: 125 tok/s
Latency: 0.2ms
Groq
Throughput: 100 tok/s
Latency: 0.5ms
Sambanova
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Llama 3.2 11B Instruct
Avg Score:46.7%
Providers:6
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Llama 4 Scout
Avg Score:53.8%(+7.2%)
Providers:6