Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 1.6% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini Diffusion is an experimental text and code generation model from Google DeepMind, announced at Google I/O in May 2025 as the first diffusion-based language model to achieve quality comparable to autoregressive models on standard benchmarks. Unlike transformer-based models that predict tokens sequentially left-to-right, it generates entire blocks of text by iteratively refining noise — the paradigm used in image and video generation models — enabling faster sampling speeds and stronger mid-generation error correction for code and mathematical editing tasks. At announcement it was available only as an experimental demo via waitlist, with no public API, marking it as a research milestone rather than a production deployment.
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.
1 month newer

Llama 4 Maverick
Meta AI
2025-04-05

Gemini Diffusion
Google DeepMind
2025-05-20
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini Diffusion
Llama 4 Maverick
Performance comparison across key benchmark categories
Gemini Diffusion
Llama 4 Maverick
Available providers and their performance metrics
Gemini Diffusion
Llama 4 Maverick
Together AI
Gemini Diffusion
Llama 4 Maverick
Gemini Diffusion
Llama 4 Maverick