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Llama 3.2 3B Instruct vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 50.5% higher average benchmark score. o3 offers 44.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $9.97 cheaper per million tokens. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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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.
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OpenAI
o3 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
6 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
o3
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($9.97 cheaper)
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o3
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Llama 3.2 3B Instruct
Average Score:32.8%
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o3
Average Score:83.3%(+50.5%)
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Knowledge Cutoff
Training data recency comparison
o3
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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o3
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Llama 3.2 3B Instruct
Avg Score:32.8%
Providers:1
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o3
Avg Score:83.3%(+50.5%)
Providers:1