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Llama 4 Behemoth vs Qwen3-Coder-480B
Comprehensive side-by-side LLM comparison
Qwen3-Coder-480B offers 66.2K more tokens in context window than Llama 4 Behemoth. Qwen3-Coder-480B is $4.50 cheaper per million tokens. Llama 4 Behemoth supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Meta AI
Llama 4 Behemoth is a research-scale Mixture-of-Experts language model with approximately 2 trillion total parameters (288 billion active per inference), developed by Meta as a teacher model for the Llama 4 family. Available only in limited preview, it serves as the knowledge distillation source for Llama 4 Scout and Maverick. Behemoth targets research applications requiring the largest-scale open-weight model architecture from the Llama 4 generation.
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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.
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Behemoth
Input:$3.00
Output:$3.00
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Qwen3-Coder-480B
Input:$0.50
Output:$1.00($4.50 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Behemoth
1 providers
Together AI
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Qwen3-Coder-480B
1 providers
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1
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Qwen3-Coder-480B
Avg Score:0.0%
Providers:1