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DeepSeek-R1 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 6.1K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $2.71 cheaper per million tokens. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
3 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek-R1
DeepSeek
2025-01-20
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($2.71 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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DeepSeek-R1
Average Score:0.0%
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Llama 3.2 3B Instruct
Average Score:55.6%(+55.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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Llama 3.2 3B Instruct
Avg Score:55.6%(+55.6%)
Providers:1