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Llama 4 Behemoth vs Qwen3-235B-A22B
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B offers 66.2K more tokens in context window than Llama 4 Behemoth. Qwen3-235B-A22B is $5.00 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
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Behemoth
Input:$3.00
Output:$3.00
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Qwen3-235B-A22B
Input:$0.25
Output:$0.75($5.00 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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Qwen3-235B-A22B
1 providers
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1
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Qwen3-235B-A22B
Avg Score:0.0%
Providers:1