+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 2.5 Pro vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 4.5% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $11.07 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
+
+
+
+
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.
8 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemini 2.5 Pro
2025-05-20
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 2.5 Pro
Input:$1.25
Output:$10.00
+
+
+
+
Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($11.07 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
+
+
+
+
Gemini 2.5 Pro
Average Score:35.9%(+4.5%)
+
+
+
+
Qwen2.5-Coder 32B Instruct
Average Score:31.4%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
+
+
+
+
Gemini 2.5 Pro
Avg Score:35.9%(+4.5%)
Providers:2
+
+
+
+
Qwen2.5-Coder 32B Instruct
Avg Score:31.4%
Providers:4