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Gemini 2.5 Flash

everyais/gemini-2-5-flash

Gemini 2.5 Flash (everyais/gemini-2-5-flash) availability, capabilities, context limits, and public reference pricing on everyais.

Model family geminiInput Text · ImageOutput Text
Available now

Method

The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.

Source and update

GET /models/catalog

Updated

Model type
Chat
Released
2025-06-17
Context window
1.0M
Price unit
Per 1M tokens
Maximum output
65,536
Model reference price (USD)
Standard (≤200K): Input $0.15 · Output $0.6 /1M · Long context (>200K, full request): Input $0.3 · Output $2.5 /1M
Cache reference price (USD)
Cache read $0.037 /1M

Capabilities

  • Streaming
  • Tool use
  • Vision
  • JSON
  • Reasoning
  • sampling
  • structured_outputs

Supported endpoints

  • /v1/chat/completions

Usage and availability trend

Daily tokensInputOutput
2K1K02026-08-272026-09-032026-08-27 · Requests 1 · Input 49 · Output 494 · Availability Insufficient sample2026-08-28 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-08-29 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-08-30 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-08-31 · Requests 1 · Input 197 · Output 60 · Availability Insufficient sample2026-09-01 · Requests 3 · Input 59 · Output 30 · Availability Insufficient sample2026-09-02 · Requests 1 · Input 7 · Output 22 · Availability Insufficient sample2026-09-03 · Requests 1 · Input 1,071 · Output 140 · Availability Insufficient sample

Last 8 days · 2026-09-03 Input 1,071 · Output 140 tokens.

Daily availability (success rate %)

Insufficient sample — not enough requests to publish a success rate.

Code example

Use the OpenAI SDK by changing only base_url.

from openai import OpenAI

client = OpenAI(
    api_key="everyais_...",
    base_url="https://api.everyais.com/v1",
)

response = client.chat.completions.create(
    model="everyais/gemini-2-5-flash",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
Full API docs

Other models in this family

Estimate this model's monthly cost

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