Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 737.9K more tokens in context window than Qwen3-Coder-480B. Qwen3-Coder-480B is $9.75 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. 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-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.
2 months newer

Gemini 2.5 Pro
Google DeepMind
2025-05-20
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
Cost per million tokens (USD)
Gemini 2.5 Pro
Qwen3-Coder-480B
Context window and performance specifications
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
Qwen3-Coder-480B
Gemini 2.5 Pro
Qwen3-Coder-480B
Gemini 2.5 Pro
Qwen3-Coder-480B
OpenRouter