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GPT-4 Turbo vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 4.5% higher average benchmark score. Llama 4 Scout offers 19.9M more tokens in context window than GPT-4 Turbo. Llama 4 Scout is $39.62 cheaper per million tokens. 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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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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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.
12 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
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Llama 4 Scout
Input:$0.08
Output:$0.30($39.62 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4 Turbo
Average Score:73.9%(+4.5%)
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Llama 4 Scout
Average Score:69.4%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
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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GPT-4 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4 Turbo
Avg Score:73.9%(+4.5%)
Providers:2
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Llama 4 Scout
Avg Score:69.4%
Providers:6