Gemini 2.0 Flash
- Context window
- 1.0Mtokens
- Max output
- 8Ktokens
- Input
- $0.10/ 1M
- Output
- $0.40/ 1M
Quick start
from openai import OpenAI
client = OpenAI(
base_url="https://neurongate.net/v1",
api_key="sk-ng-your-api-key",
)
completion = client.chat.completions.create(
model="google/gemini-2.0-flash-001",
messages=[{"role": "user", "content": "Hello!"}],
)
print(completion.choices[0].message.content)Cost
| Example request | Tokens | Cost |
|---|---|---|
| Short prompt | 1K in | $0.0001 |
| Typical chat turn | 1K in · 500 out | $0.0003 |
| Document analysis | 10K in · 2K out | $0.0018 |
| Long context | 100K in · 10K out | $0.014 |
Prices in USD. Billed per token actually used, from a balance prepaid in USDT, USDC, ETH or BTC.
Frequently asked questions
What is Gemini 2.0 Flash?
Gemini 2.0 Flash is an AI language model from Google, available through NeuronGate's OpenAI-compatible API.
How much does Gemini 2.0 Flash cost?
Gemini 2.0 Flash is priced at $0.1 per 1 million input tokens and $0.4 per 1 million output tokens when accessed via NeuronGate. You pay per token — no subscriptions required. Top up with crypto (USDT, USDC, ETH, BTC).
Does Gemini 2.0 Flash support streaming?
Yes, Gemini 2.0 Flash supports streaming responses via NeuronGate's API. Use the standard "stream": true parameter in your request.
What is the context window of Gemini 2.0 Flash?
Gemini 2.0 Flash has a context window of 1.0M tokens (~786K words). Maximum output is 8K tokens.
Does Gemini 2.0 Flash support function calling (tools)?
Yes, Gemini 2.0 Flash supports function calling / tool use via NeuronGate's standard API.
How do I use Gemini 2.0 Flash with NeuronGate?
Create a NeuronGate account, top up your balance with crypto, generate an API key, and use the model id google/gemini-2.0-flash-001 in your requests. NeuronGate uses the OpenAI-compatible API format — set your base URL to https://neurongate.net/v1.