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Llama 4 Scout vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 16.7% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than o4-mini. Llama 4 Scout is $5.12 cheaper per million tokens. Llama 4 Scout is available on 6 providers. Overall, o4-mini is the stronger choice for coding tasks.
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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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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
11 days newer
Llama 4 Scout
Meta
2025-04-05
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Scout
Input:$0.08
Output:$0.30($5.12 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 4 Scout
Average Score:65.8%
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o4-mini
Average Score:82.4%(+16.7%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
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 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:65.8%
Providers:6
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o4-mini
Avg Score:82.4%(+16.7%)
Providers:1