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GPT-5 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
GPT-5 leads with 39.6% higher average benchmark score. GPT-5 offers 272.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $11.22 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 is the stronger choice for coding tasks.
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OpenAI
GPT-5 represents the next generation of OpenAI's foundational models, developed to advance the frontier of AI capabilities in reasoning, knowledge, and general intelligence. Built to push beyond the limitations of GPT-4, it incorporates architectural and training improvements designed to enhance performance across diverse tasks and domains.
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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.
10 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
GPT-5
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5
Input:$1.25
Output:$10.00
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($11.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-5
Average Score:87.6%(+39.6%)
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Llama 3.2 3B Instruct
Average Score:48.1%
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Knowledge Cutoff
Training data recency comparison
GPT-5
2024-09-30
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-5
2 providers
OpenAI
Throughput: 100 tok/s
Latency: 2ms
ZeroEval
Throughput: 100 tok/s
Latency: 2ms
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GPT-5
Avg Score:87.6%(+39.6%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:48.1%
Providers:1