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Llama 3.3 70B Instruct vs QwQ-32B
Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 14.1% higher average benchmark score. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 3.3 70B Instruct is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Llama 3.3 70B Instruct
Average Score:51.4%(+14.1%)
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QwQ-32B
Average Score:37.3%
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
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 3.3 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:51.4%(+14.1%)
Providers:9
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QwQ-32B
Avg Score:37.3%
Providers:0