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Model Guide

gemini-2.5-flash

gemini-2.5-flash is a production text model for chat, coding, long-context reasoning, and tool-enabled workflows through Flatkey-compatible API access.

Vendor
Google
Modalities
Text
Price
$0.09 in / $0.71 out
Updated
2026-08-12
Model ID
gemini-2.5-flash

Model Overview

Quick Answer

  • Best for chat, code generation, agent workflows, and production assistants.
  • Use Flatkey when you want OpenAI-compatible routing, unified billing, and reusable API keys.
  • Start with the default parameters, then tune max tokens and temperature for your workload.

gemini-2.5-flash Model Features

Core capabilities and practical engineering value

OpenAI-compatible migration path

Chat Completions-style payloads reduce switching friction from existing model stacks.

Structured and tool-based output

Use structured JSON, tools, and code-generation flows for agentic workflows.

Streaming interaction

Streaming supports chat UIs, terminal assistants, and progressive rendering.

Production routing

Keep usage, keys, quotas, and model routing in one Flatkey account.

Long-context work

Useful for document summarization, codebase analysis, and knowledge workflows.

Coding and technical generation

Useful for code explanation, tests, refactors, SDK wrappers, and technical drafts.

How to Use gemini-2.5-flash API

  1. Create an API key and set Authorization: Bearer <YOUR_API_KEY>.
  2. POST to /v1/chat/completions with at least model and messages.
  3. Tune max_tokens, temperature, and top_p based on task complexity.
  4. Enable streaming for chat UIs, terminal assistants, and agent workflows.
  5. Use logs and retries to refine prompts before broader rollout.

Common Errors

400 invalid_request_error

Missing required fields, malformed messages, or unsupported parameter values.

401 authentication_error

Missing Authorization header, malformed bearer token, or invalid API key.

429 rate_limit_error

Request rate, concurrency, or quota is above current account limits.

500 internal_error

Transient upstream instability, tool execution failure, or processing issue.

FAQ

SDK của tôi có dùng cùng model id không?

Có. Giữ SDK, chỉ đổi base_url và api_key.

Tôi có thể kiểm soát mức dùng trước khi mở rộng không?

Có. Hạn mức gói, phân tích mức dùng và một hóa đơn duy nhất giữ chi tiêu trong tầm kiểm soát.

Ready to unify your AI model access?

Use one Flatkey account to test prompts, compare models, and move the saved request into the console.