Comprehensive side-by-side LLM comparison
Llama 4 Maverick offers 733.8K more tokens in context window than Qwen3-Coder-480B. Llama 4 Maverick is $1.14 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
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

Llama 4 Maverick
Meta AI
2025-04-05
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
Cost per million tokens (USD)
Llama 4 Maverick
Qwen3-Coder-480B
Context window and performance specifications
Available providers and their performance metrics
Llama 4 Maverick
Together AI
Qwen3-Coder-480B
Llama 4 Maverick
Qwen3-Coder-480B
Llama 4 Maverick
Qwen3-Coder-480B
OpenRouter