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Gemini 1.5 Pro vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 21.7% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $12.32 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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.
4 months newer
Gemini 1.5 Pro
2024-05-01
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Pro
Input:$2.50
Output:$10.00
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($12.32 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Gemini 1.5 Pro
Average Score:52.2%(+21.7%)
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Qwen2.5-Coder 32B Instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen2.5-Coder 32B Instruct
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Gemini 1.5 Pro
Avg Score:52.2%(+21.7%)
Providers:1
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Qwen2.5-Coder 32B Instruct
Avg Score:30.4%
Providers:4