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DeepSeek-V2.5 vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 16.6% higher average benchmark score. Llama 3.3 70B Instruct offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Llama 3.3 70B Instruct is available on 9 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
7 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Llama 3.3 70B Instruct
Meta
2024-12-06
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Llama 3.3 70B Instruct
Input:$0.20
Output:$0.20($0.02 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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DeepSeek-V2.5
Average Score:50.8%(+16.6%)
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Llama 3.3 70B Instruct
Average Score:34.2%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:50.8%(+16.6%)
Providers:3
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Llama 3.3 70B Instruct
Avg Score:34.2%
Providers:9