Gemini - Askr

Gemini is Google’s multimodal family, with very long context windows and strong performance across text, reasoning and analysis. A good choice when you need to work over large inputs at once.

Best for

Very long context: large documents and datasets in a single call.
Multimodal reasoning and analysis.
Fast, cost-effective everyday chat.


Modality	Chat & code (text in, text out)
Example model id	`gemini-2.5-pro`
Endpoint	`POST /chat/completions`

Example

curl https://api.heyaskr.ai/chat/completions \
  -H "Authorization: Bearer ASKR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-pro",
    "messages": [
      {"role": "user", "content": "Give me three takeaways from this report."}
    ]
  }'

from openai import OpenAI
client = OpenAI(base_url="https://api.heyaskr.ai", api_key="ASKR_API_KEY")

resp = client.chat.completions.create(
    model="gemini-2.5-pro",
    messages=[
        {"role": "user", "content": "Give me three takeaways from this report."},
    ],
)
print(resp.choices[0].message.content)

Pricing

Priced per token, input and output separately. As a rough guide, expect around $1.25 per 1M input tokens and $5 per 1M output tokens for the pro model. Flash-tier models are cheaper still.

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Gemini on Askr: model card and pricing

The model id and prices above are examples. Confirm the exact id and current price against the live /v1/models list before you rely on them.

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