Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B leads with 7.5% higher average benchmark score. Llama 4 Maverick offers 733.8K more tokens in context window than Qwen3-235B-A22B. Llama 4 Maverick is $0.64 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Overall, Qwen3-235B-A22B is the stronger choice for coding tasks.
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
Qwen3-235B-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.
23 days newer

Llama 4 Maverick
Meta AI
2025-04-05
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Cost per million tokens (USD)
Llama 4 Maverick
Qwen3-235B-A22B
Context window and performance specifications
Average performance across 2 common benchmarks
Llama 4 Maverick
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Llama 4 Maverick
Qwen3-235B-A22B
Available providers and their performance metrics
Llama 4 Maverick
Together AI
Qwen3-235B-A22B
Llama 4 Maverick
Qwen3-235B-A22B
Llama 4 Maverick
Qwen3-235B-A22B
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