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Llama 3.2 11B Instruct vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 9.5% higher average benchmark score. Llama 3.2 11B Instruct offers 116.7K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 days newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 3.2 11B Instruct
Meta
2024-09-25
Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($0.50 cheaper)
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Llama 3.2 11B Instruct
Average Score:30.4%
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Qwen2.5 7B Instruct
Average Score:39.9%(+9.5%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
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 3.2 11B Instruct
6 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 108 tok/s
Latency: 0.5ms
Fireworks
Throughput: 125 tok/s
Latency: 0.2ms
Groq
Throughput: 100 tok/s
Latency: 0.5ms
Sambanova
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Llama 3.2 11B Instruct
Avg Score:30.4%
Providers:6
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Qwen2.5 7B Instruct
Avg Score:39.9%(+9.5%)
Providers:1