Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Pro offers 737.9K more tokens in context window than Qwen3-VL-235B-A22B. Qwen3-VL-235B-A22B is $10.25 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
Alibaba / Qwen
Qwen3-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
4 months newer

Gemini 2.5 Pro
Google DeepMind
2025-05-20
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Cost per million tokens (USD)
Gemini 2.5 Pro
Qwen3-VL-235B-A22B
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 2.5 Pro
Qwen3-VL-235B-A22B
Performance comparison across key benchmark categories
Gemini 2.5 Pro
Qwen3-VL-235B-A22B
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
Qwen3-VL-235B-A22B
Gemini 2.5 Pro
Qwen3-VL-235B-A22B
Gemini 2.5 Pro
Qwen3-VL-235B-A22B
OpenRouter