Gemini 2.5 Flash
Google · Gemini 2.5
Stable Gemini 2.5 Flash route balancing multimodal capability, latency, and production cost.
Overview
Freshness note: Model capabilities, limits, and pricing can change quickly. This profile is a point-in-time snapshot last verified on May 16, 2026.
Gemini 2.5 Flash is Google’s stable price-performance 2.5 route for teams that need responsive output at scale. Gemini 3 Flash is now the newer preview/flex lane in the docs, but 2.5 Flash remains the safer choice when a production app wants stable model naming and well-understood pricing.
Capabilities
Flash handles summarization, extraction, content transformation, and many coding-adjacent tasks with strong latency characteristics. It is useful for applications where user experience depends on fast model response without dropping multimodal support, search grounding, or tool-use capability.
Technical Details
Google’s current model docs still list Gemini 2.5 Flash with a 1,048,576 token input window and a 65,536 token output limit. It supports text, image, video, audio, and PDF inputs, plus code execution, file search, function calling, structured outputs, search grounding, Google Maps grounding, thinking, and URL context.
Pricing & Access
Current Gemini API pricing lists Gemini 2.5 Flash at 2.50 per 1M output tokens, with audio input at 0.03 for text/image/video tokens. Access is available through Google AI Studio and Vertex AI.
Best Use Cases
Strong choice for customer support assistants, internal copilots, UI-driven chat tools, agentic workflows that need low latency, and automation tasks requiring fast response with good quality without adopting newer preview lifecycle risk.
Comparisons
Compared with Gemini 2.5 Pro, Flash is cheaper and faster but less capable on the hardest reasoning tasks. Compared with Gemini 3 Flash Preview, Flash is the safer stable route while 3-series Flash is the newer preview lane. Compared with Claude Haiku 4.5, Flash usually offers broader multimodal and tool support at a different cost profile.