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Gemini 3 Pro vs Qwen3-VL-235B-A22B
Comprehensive side-by-side LLM comparison
Gemini 3 Pro offers 737.9K more tokens in context window than Qwen3-VL-235B-A22B. Qwen3-VL-235B-A22B is $21.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
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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.
1 month newer
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Gemini 3 Pro
Google DeepMind
2025-11-18
Pricing Comparison
Cost per million tokens (USD)
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Gemini 3 Pro
Input:$2.50
Output:$20.00
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Qwen3-VL-235B-A22B
Input:$0.25
Output:$0.75($21.50 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 3 Pro
2 providers
Google Cloud Vertex AI
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Qwen3-VL-235B-A22B
1 providers
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Gemini 3 Pro
Avg Score:0.0%
Providers:2
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Qwen3-VL-235B-A22B
Avg Score:0.0%
Providers:1