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Llama 4 Behemoth vs Qwen3-Max
Comprehensive side-by-side LLM comparison
Qwen3-Max offers 66.2K more tokens in context window than Llama 4 Behemoth. Qwen3-Max is $4.00 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-Max, released by Alibaba in September 2025 as an API preview, is a large language model exceeding one trillion parameters built for complex reasoning and long-context tasks. It features a 262K token context window, hybrid thinking modes that allow switching between direct generation and extended chain-of-thought, and is available as a proprietary cloud API via Alibaba Cloud and Qwen Chat. Qwen3-Max targets demanding reasoning, multilingual analysis, and applications requiring frontier-level performance from the Qwen3 generation.
Qwen3-Max
Alibaba / Qwen
2025-09-05
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-Max
Input:$0.50
Output:$1.50($4.00 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-Max
1 providers
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1
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Qwen3-Max
Avg Score:0.0%
Providers:1