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Llama 4 Scout vs Nova Micro
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 4 Scout offers 19.7M more tokens in context window than Nova Micro. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
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Amazon
Amazon Nova Micro was created as an ultra-compact multimodal model, designed for deployment in resource-constrained environments. Built to bring text and image understanding to edge devices and latency-sensitive applications, it extends Amazon's AI capabilities to minimal footprint scenarios.
4 months newer
Nova Micro
Amazon
2024-11-20
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Scout
Input:$0.08
Output:$0.30
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Nova Micro
Input:$0.03
Output:$0.14($0.21 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 4 Scout
Average Score:62.4%(+0.1%)
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Nova Micro
Average Score:62.3%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Scout
6 providers
DeepInfra
Throughput: 76.1 tok/s
Latency: 0.31ms
Fireworks
Throughput: 116.1 tok/s
Latency: 0.53ms
Groq
Throughput: 776.1 tok/s
Latency: 1.08ms
Lambda
Throughput: 139.7 tok/s
Latency: 0.43ms
Novita
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Llama 4 Scout
Avg Score:62.4%(+0.1%)
Providers:6
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Nova Micro
Avg Score:62.3%
Providers:1