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Llama 3.3 70B Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen2.5 VL 32B Instruct supports multimodal inputs. 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
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
2 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 3.3 70B Instruct
Average Score:74.2%(+0.8%)
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Qwen2.5 VL 32B Instruct
Average Score:73.4%
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:74.2%(+0.8%)
Providers:9
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Qwen2.5 VL 32B Instruct
Avg Score:73.4%
Providers:0