Gemini 3.1 Pro API
Google’s 1M-context flagship, far below official pricing.
Gemini 3.1 Pro through a drop-in OpenAI-compatible endpoint — $0.46 input / $2.76 output per million tokens. Full 1,048,576-token context, native multimodal (image, audio, video), priced from current ToAPI costs.
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See what you can create
1M-token context
“Load entire codebases, books, or video transcripts in one request”
Native multimodal
“Image, audio, and video input in a single multimodal call”
Code understanding
“Reason over a 500K-token monorepo and propose refactors”
Long-form generation
“Generate full technical reports with 65K output tokens”
Gemini 3.1 Pro pricing comparison
Verified per-million-token pricing vs Google AI direct
Integrate in minutes
Standard REST API that works with any language. One API key gives you access to all models.
- Single endpoint for all models
- Bearer token authentication
- JSON request & response
- Webhook callbacks for async jobs
- Python & Node.js SDK available
# Gemini 3.1 Pro through OpenAI-compatible endpoint
from openai import OpenAI
client = OpenAI(
api_key="hyp-...",
base_url="https://api.hypereal.cloud/v1",
)
resp = client.chat.completions.create(
model="gemini-3.1-pro",
messages=[
{"role": "user", "content": "Summarize this 800-page PDF (loaded as 600K tokens of text)."},
],
)
print(resp.choices[0].message.content)Why Gemini 3.1 Pro
77% off Google AI pricing
Same Gemini 3.1 Pro — $0.46 input / $2.76 output per million tokens vs $2.00 / $12.00 official.
1,048,576-token context
The largest context window in production: load entire codebases, full books, or hours of video transcripts in a single request.
Native multimodal input
Image, audio, and video input handled natively by the model — no separate vision or transcription pipeline needed.
Which credits get consumed?
One API key works for both. Routing is decided by the model you call, not by the key.
Claude, GPT, and Gemini coding models spend the same Hypereal Credits wallet. Your selected top-up amount can reduce charges on these coding models.
Video, image, audio, 3D, GPU, training, and other model APIs use the prices shown on their product pages.
Frequently asked questions
Is this real Gemini 3.1 Pro from Google?
Yes — same model, same weights, byte-for-byte equivalent outputs. Hypereal is an aggregator reselling Gemini capacity at a discount.
Do I need a Google Cloud project?
No. Hypereal handles authentication, billing, and quota — no GCP project, no IAM setup, no billing alerts to configure.
Can I really use 1M tokens of context?
Yes. The full 1,048,576-token context window is available. Note: at $0.46/M input, a 1M-token request costs $0.46 in input tokens alone — plan accordingly.
Is multimodal input supported?
Yes. Image, audio, and video input are all natively supported through the standard OpenAI chat-completions multimodal format.
How does billing work?
Pay per token using credits. 100 credits = $1. Buy from $10, no subscription. Card and crypto accepted, no monthly reset.
1M context, up to 4.3x value vs Google direct.
Same Gemini 3.1 Pro, drop-in OpenAI-SDK, no GCP setup. Credits from $10.