Comprehensive side-by-side LLM comparison
Nova 2 Lite 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.
Amazon
Amazon Nova 2 Lite, released by Amazon Web Services on December 2, 2025, is a fast, cost-efficient reasoning model available on Amazon Bedrock with a 1M token context window enabling extended document, video, and image analysis. It features three extended thinking intensity levels, built-in code interpreter, web grounding tools, and native support for text, image, video, and document input. Nova 2 Lite targets cost-sensitive agentic applications, document analysis pipelines, and real-time workloads requiring multimodal reasoning.
6 months newer

Gemini Diffusion
Google DeepMind
2025-05-20

Nova 2 Lite
Amazon
2025-12-02
Context window and performance specifications
Available providers and their performance metrics
Gemini Diffusion
Nova 2 Lite
AWS Bedrock
Gemini Diffusion
Nova 2 Lite
Gemini Diffusion
Nova 2 Lite