Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 42.1% higher average benchmark score. Gemini 3 Pro offers 737.9K more tokens in context window than Qwen3-235B-A22B. Qwen3-235B-A22B is $21.50 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
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.
Alibaba / Qwen
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
6 months newer
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Gemini 3 Pro
Qwen3-235B-A22B
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 3 Pro
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Gemini 3 Pro
Qwen3-235B-A22B
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
Qwen3-235B-A22B
Gemini 3 Pro
Qwen3-235B-A22B
Gemini 3 Pro
Qwen3-235B-A22B
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