Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash supports multimodal inputs. Gemini 2.5 Flash is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
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.
28 days newer

Gemini Diffusion
Google DeepMind
2025-05-20

Gemini 2.5 Flash
Google DeepMind
2025-06-17
Context window and performance specifications
Available providers and their performance metrics
Gemini 2.5 Flash
Google Cloud Vertex AI
Gemini Diffusion
Gemini 2.5 Flash
Gemini Diffusion
Gemini 2.5 Flash
Gemini Diffusion