+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 2.5 Pro Preview 06-05 vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 42.6% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 1.0M more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $10.90 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
+
+
+
+
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M 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 2025, it represents Google's latest advancement in AI technology.
+
+
+
+
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). 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.
6 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Gemini 2.5 Pro Preview 06-05
2025-06-05
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 2.5 Pro Preview 06-05
Input:$1.25
Output:$10.00
+
+
+
+
QwQ-32B-Preview
Input:$0.15
Output:$0.20($10.90 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
+
+
+
+
Gemini 2.5 Pro Preview 06-05
Average Score:59.6%(+42.6%)
+
+
+
+
QwQ-32B-Preview
Average Score:17.1%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
QwQ-32B-Preview
2024-11-28
Gemini 2.5 Pro Preview 06-05
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 Preview 06-05
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
QwQ-32B-Preview
+
+
+
+
Gemini 2.5 Pro Preview 06-05
Avg Score:59.6%(+42.6%)
Providers:1
+
+
+
+
QwQ-32B-Preview
Avg Score:17.1%
Providers:4