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GPT-3.5 Turbo vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 36.3% higher average benchmark score. Llama 4 Scout offers 20.0M more tokens in context window than GPT-3.5 Turbo. Llama 4 Scout is $1.62 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
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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.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
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Llama 4 Scout
Input:$0.08
Output:$0.30($1.62 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GPT-3.5 Turbo
Average Score:33.3%
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Llama 4 Scout
Average Score:69.6%(+36.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-3.5 Turbo
Avg Score:33.3%
Providers:2
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Llama 4 Scout
Avg Score:69.6%(+36.3%)
Providers:6