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gemini-2.5-flash API pricing & access
gemini-2.5-flash API pricing: $0.3 per 1M tokens. gemini-2.5-flash. Supports text, image, video, audio input and text output. Listed specifi…
gemini-2.5-flash API access
gemini-2.5-flash. Supports text, image, video, audio input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.
Compare supported API endpoints and capabilities, then access gemini-2.5-flash through the unified API gateway.
- Category
- text
- Context length
- 1048576 tokens
- Maximum output
- 65536 tokens
- Supported APIs
- Gemini API, OpenAI Chat Completions API, Anthropic Messages API
- API endpoints
- POST /v1beta/models/gemini-2.5-flash:generateContent, POST /v1/chat/completions, POST /v1/messages
- Input modalities
- text, image, video, audio
- Output modalities
- text
- Capabilities
- function calling, structured output, reasoning, caching, vision
gemini-2.5-flash API pricing
- Base input price
- $0.3 per 1M tokens
- Base output price
- $2.499 per 1M tokens
Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.
About gemini-2.5-flash
gemini-2.5-flash. Supports text, image, video, audio input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.
Use cases and prompting
Use cases to explore
- Draft and revise text with explicit audience, tone and format requirements.
- Summarize supplied documents and compare answers against the original sources.
Practical tips
Separate instructions from source material, describe the desired output and provide an example. Test tool use or structured output only when listed as supported.
Example prompt
Summarize the following document in five bullet points. Separate confirmed facts from open questions, cite the relevant passages and do not invent missing information. Document: [paste your text]
How to call gemini-2.5-flash
gemini-2.5-flash is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.
curl (OpenAI-compatible)
curl https://modelsok.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "gemini-2.5-flash", "messages": [{"role": "user", "content": "Hello"}]}'Python (openai SDK)
from openai import OpenAI
client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
model="gemini-2.5-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Python (anthropic SDK)
from anthropic import Anthropic
client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
model="gemini-2.5-flash",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)Related pages
Frequently asked questions about gemini-2.5-flash
What is gemini-2.5-flash?
gemini-2.5-flash. Supports text, image, video, audio input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.
How do I call gemini-2.5-flash?
Create an API key with access to gemini-2.5-flash, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is gemini-2.5-flash priced?
Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.
What is the context window of gemini-2.5-flash?
The model catalog lists a context window of 1048576 tokens. Check the selected endpoint for request limits.
What is the maximum output of gemini-2.5-flash?
The model catalog lists a maximum output of 65536 tokens. Your request settings may set a lower limit.
How should I evaluate gemini-2.5-flash for my project?
Separate instructions from source material, describe the desired output and provide an example. Test tool use or structured output only when listed as supported.