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GPT-3.5 Turbo vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.2 3B Instruct offers 235.5K more tokens in context window than GPT-3.5 Turbo. Llama 3.2 3B Instruct is $1.97 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Llama 3.2 3B Instruct
Meta
2024-09-25
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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 3.2 3B Instruct
Input:$0.01
Output:$0.02($1.97 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-3.5 Turbo
Average Score:50.0%
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Llama 3.2 3B Instruct
Average Score:50.6%(+0.6%)
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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:50.0%
Providers:2
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Llama 3.2 3B Instruct
Avg Score:50.6%(+0.6%)
Providers:1