Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 13.4% higher average benchmark score. Gemini 3 Pro offers 737.9K more tokens in context window than Qwen3-Max. Qwen3-Max is $20.50 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-Max, released by Alibaba in September 2025 as an API preview, is a large language model exceeding one trillion parameters built for complex reasoning and long-context tasks. It features a 262K token context window, hybrid thinking modes that allow switching between direct generation and extended chain-of-thought, and is available as a proprietary cloud API via Alibaba Cloud and Qwen Chat. Qwen3-Max targets demanding reasoning, multilingual analysis, and applications requiring frontier-level performance from the Qwen3 generation.
2 months newer
Qwen3-Max
Alibaba / Qwen
2025-09-05

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