Comprehensive side-by-side LLM comparison
Gemini 3 Pro offers 737.9K more tokens in context window than Qwen3-Coder-480B. Qwen3-Coder-480B is $21.00 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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-Coder-480B-A35B-Instruct, released by Alibaba's Qwen team on July 22, 2025, is a Mixture-of-Experts large language model with 480 billion total parameters and 35 billion active parameters per inference, specifically designed for agentic coding tasks. It features a 256K token native context window (extendable to 1M tokens with extrapolation) and demonstrated competitive performance on agentic coding, browser automation, and tool-use benchmarks. Qwen3-Coder-480B targets automated software engineering, multi-step code agents, and open-source coding deployments under the Apache 2.0 license.
3 months newer
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Gemini 3 Pro
Qwen3-Coder-480B
Context window and performance specifications
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
Qwen3-Coder-480B
Gemini 3 Pro
Qwen3-Coder-480B
Gemini 3 Pro
Qwen3-Coder-480B
OpenRouter