Gemini 2.5 Flash
⧉Gemini 2.5 Flash focuses on speed and cost efficiency, for large-scale, low-latency chat and agent workloads, with multimodal input. Fully OpenAI-API compatible: set model to gemini-2.5-flash.
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Try out Gemini 2.5 Flash right here (available after login)。
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About Gemini 2.5 Flash
Gemini 2.5 Flash is Google's fast-tier chat model, built for low latency, high concurrency, and strong cost-efficiency, with support for both text and multimodal input. On NezhaGate it is served through an OpenAI-compatible API: set the model to gemini-2.5-flash and point your base_url at NezhaGate to reuse your existing OpenAI SDK with no rewrite. Billing is pay-as-you-go, and failed requests are not charged.
Use cases
Handles online support, community Q&A, and other workloads that process many concurrent conversations, staying responsive under load.
Runs summarization, classification, extraction, and labeling across large batches, clearing high volumes quickly while keeping costs in check.
Powers chatbots, writing assistants, and in-app conversations with fast responses, and pairs with streaming to render replies token by token.
Accepts mixed image-and-text input, so you can ask questions about an image for captioning, key-point extraction, and similar tasks.
How to choose
Pick Gemini 2.5 Flash when you want a dependable balance of speed and cost for everyday, high-volume, or concurrent conversations. For heavy reasoning or long coding chains, step up to the flagship Gemini 3.1 Pro; to try Google's newer fast thinking models, compare Gemini 3.6 Flash or Gemini 3.5 Flash; and across providers in the fast tier, weigh it against GPT-5.6 Luna before deciding.
FAQ
What is Gemini 2.5 Flash?
Does it support streaming?
How do I call it with the OpenAI SDK?
Which scenarios fit it best?
Gemini 2.5 Flash vs Gemini 3.5 Flash — how to choose?
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