Gemini 3.5 Fast API
Gemini o niskim opóźnieniu dla agentów kodujących i aplikacji czatu.
Run gemini-3.5-fast through a drop-in OpenAI-compatible endpoint. Coding Plan price is $0.90 input / $5.40 output per million tokens, billed through one Hypereal API key.
Independent third-party API aggregator. Not affiliated with or endorsed by any model provider; model names are trademarks of their respective owners.
Gemini 3.5 Fast pricing
Hypereal public token pricing
Integracja w kilka minut
Standardowe API REST, które działa z każdym językiem. Jeden klucz API daje dostęp do wszystkich modeli.
- Jeden punkt końcowy dla wszystkich modeli
- Uwierzytelnianie tokenem Bearer
- Żądanie i odpowiedź w formacie JSON
- Wywołania zwrotne webhook dla zadań asynchronicznych
- Dostępne SDK dla Python i Node.js
curl https://api.hypereal.cloud/v1/chat/completions \
-H "Authorization: Bearer hyp-..." \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.5-fast",
"messages": [
{"role": "user", "content": "Generate unit tests for this parser."}
]
}'Dlaczego Gemini 3.5 Fast
Coding Plan eligible
Spend Coding Plan credits on Gemini 3.5 Fast alongside Claude Opus, Sonnet, and GPT-5.5 — one prepaid pool, one API key.
Built for latency and volume
Sub-second first token — best for quick code review, chat, test generation, and iterative agent loops.
Current metered pricing
$0.90 input / $5.40 output per million tokens through Hypereal Credits. No Google Cloud project or separate billing account required.
Często zadawane pytania
Is Gemini 3.5 Fast included in the Coding Plan?
Yes. It is eligible for Coding Plan credits, so prepaid coding credits spend on it just like Claude Opus, Sonnet, and GPT-5.5.
What is the model ID?
Use gemini-3.5-fast in chat, /v1/chat/completions, and any OpenAI-compatible SDK call.
When should I use Fast instead of Thinking?
Use Fast for latency-sensitive coding loops, tests, and chat. Use Thinking for deeper review or multi-step reasoning. Both cost the same per token.
Używaj Gemini 3.5 Fast z Coding Credits.
Utwórz klucz API, ustaw base_url na Hypereal i wywołuj gemini-3.5-fast z narzędzi zgodnych z OpenAI.
