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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)

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.

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