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GPT-3.5 Turbo vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 26.1% higher average benchmark score. 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. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Llama 3.2 3B Instruct
Meta
2024-09-25
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 19 common benchmarks
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GPT-3.5 Turbo
Average Score:17.8%
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Llama 3.2 3B Instruct
Average Score:43.9%(+26.1%)
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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:17.8%
Providers:2
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Llama 3.2 3B Instruct
Avg Score:43.9%(+26.1%)
Providers:1