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DeepSeek R1 Distill Llama 70B vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 28.8% higher average benchmark score. DeepSeek R1 Distill Llama 70B offers 116.7K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. Overall, DeepSeek R1 Distill Llama 70B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
4 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Llama 70B
Input:$0.10
Output:$0.40($0.10 cheaper)
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Qwen2.5 7B Instruct
Input:$0.30
Output:
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:61.3%(+28.8%)
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Qwen2.5 7B Instruct
Average Score:32.6%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Qwen2.5 7B Instruct
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DeepSeek R1 Distill Llama 70B
Avg Score:61.3%(+28.8%)
Providers:1
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Qwen2.5 7B Instruct
Avg Score:32.6%
Providers:1