Comprehensive side-by-side LLM comparison
Gemini 3 Flash supports multimodal inputs. Gemini 3 Flash is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 3 Flash, released by Google in December 2025, is a large language model from the Gemini 3 family that delivers reasoning and coding performance with efficiency optimized for high-volume workloads. It features a 1M token context window, 64K maximum output tokens, and native support for text, image, audio, video, and PDF input. Gemini 3 Flash targets cost-sensitive agentic workflows, document processing, and production APIs requiring fast, capable multimodal responses.
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.
7 months newer

Gemini Diffusion
Google DeepMind
2025-05-20

Gemini 3 Flash
Google DeepMind
2025-12-17
Context window and performance specifications
Available providers and their performance metrics
Gemini 3 Flash
Google Cloud Vertex AI
Gemini Diffusion
Gemini 3 Flash
Gemini Diffusion
Gemini 3 Flash
Gemini Diffusion