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Llama 3.3 70B Instruct vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.3 70B Instruct offers 116.7K more tokens in context window than Qwen2.5 72B Instruct. Both models have similar pricing. Llama 3.3 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
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Alibaba Cloud / Qwen Team
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
2 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 3.3 70B Instruct
Meta
2024-12-06
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.3 70B Instruct
Input:$0.20
Output:$0.20($0.35 cheaper)
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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 3.3 70B Instruct
Average Score:75.4%(+0.6%)
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Qwen2.5 72B Instruct
Average Score:74.8%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.3 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2220 tok/s
Latency: 0.65ms
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
Fireworks
Throughput: 197 tok/s
Latency: 0.65ms
Groq
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Llama 3.3 70B Instruct
Avg Score:75.4%(+0.6%)
Providers:9
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Qwen2.5 72B Instruct
Avg Score:74.8%
Providers:4