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Llama 4 Behemoth vs Qwen3 Coder Next
Comprehensive side-by-side LLM comparison
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 Next is a coding-specialized open-weight model from Alibaba's Qwen3 family, built on the Qwen3-Next architecture with hybrid attention and Mixture-of-Experts design optimized for local development and agentic coding workflows. It targets on-device and self-hosted deployments requiring a capable coding agent that can operate within consumer hardware constraints.
Qwen3 Coder Next
Alibaba / Qwen
2026-02-04
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 Next
0 providers
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1
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Qwen3 Coder Next
Avg Score:0.0%
Providers:0