+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.2 90B Instruct vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 7.0% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Llama 3.2 90B Instruct. Both models have similar pricing. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
+
+
+
+
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
+
+
+
+
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 90B Instruct
Meta
2024-09-25
Llama 4 Scout
Meta
2025-04-05
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40
+
+
+
+
Llama 4 Scout
Input:$0.08
Output:$0.30($0.37 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
+
+
+
+
Llama 3.2 90B Instruct
Average Score:54.5%(+7.0%)
+
+
+
+
Llama 4 Scout
Average Score:47.5%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 3.2 90B Instruct
5 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 24 tok/s
Latency: 0.5ms
Fireworks
Throughput: 50 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 42 tok/s
Latency: 0.5ms
Together
+
+
+
+
Llama 3.2 90B Instruct
Avg Score:54.5%(+7.0%)
Providers:5
+
+
+
+
Llama 4 Scout
Avg Score:47.5%
Providers:6