+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.5 Pro vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 2.1% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $12.30 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen3 235B A22B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
12 months newer
Gemini 1.5 Pro
2024-05-01
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 1.5 Pro
Input:$2.50
Output:$10.00
+
+
+
+
Qwen3 235B A22B
Input:$0.10
Output:$0.10($12.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 40 common benchmarks
+
+
+
+
Gemini 1.5 Pro
Average Score:41.7%
+
+
+
+
Qwen3 235B A22B
Average Score:43.8%(+2.1%)
+
+
+
+
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
+
+
+
+
Gemini 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
Qwen3 235B A22B
+
+
+
+
Gemini 1.5 Pro
Avg Score:41.7%
Providers:1
+
+
+
+
Qwen3 235B A22B
Avg Score:43.8%(+2.1%)
Providers:4