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Llama 3.2 3B Instruct vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 18.0% higher average benchmark score. o3-mini offers 44.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $5.47 cheaper per million tokens. Overall, o3-mini is the stronger choice for coding tasks.
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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.
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OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
4 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
o3-mini
OpenAI
2025-01-30
Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($5.47 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 36 common benchmarks
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Llama 3.2 3B Instruct
Average Score:23.2%
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o3-mini
Average Score:41.1%(+18.0%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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o3-mini
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Llama 3.2 3B Instruct
Avg Score:23.2%
Providers:1
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o3-mini
Avg Score:41.1%(+18.0%)
Providers:2