Google: Gemini 4 Argon
Google Gemini 4 Argon API pricing
Gemini 4 Argon costs $0.800 per million input tokens and $4.00 per million output tokens on Oxyy. These are the pay-as-you-go prices after the current 60% discount (Launch Promo; standard price $2.00 input and $10.00 output), and cached input tokens are billed at $0.040 per million. Web search is billed on top, at $5.60 per 1K searches. It accepts text, images, audio, video and files and returns text, with a 1.05M-token context window and up to 66K output tokens per response. A cheaper Google option is Gemini 2.5 Pro at $0.500 / $4.00 per 1M tokens; for every model and rate, see Gemini API pricing.
Google's flagship reasoning model, for complex software engineering, maths and science, autonomous multi-step agents and long decode. Raises the output ceiling to 1M tokens.
Providers
Where this model runs, and what each route costs. Requests are sent to a healthy provider automatically; if one errors, the gateway retries against another serving the same model.
| Provider | Input /M | Output /M | Cache read /M | Latency | Throughput |
|---|---|---|---|---|---|
| $0.800 | $4.00 | $0.040 | 19.33s | 81 tps |
Capabilities (22)
Supported parameters (18)
A parameter not listed here may be removed before the request reaches the model. When it is, the request still succeeds and the response names it, with the reason, in provider_specific_fields.dropped_params.
Pricing
What this model costs on Oxyy, pay as you go. "Charged" is the rate a request is billed at; the standard price is shown beside it for reference.
| Rate | Standard price | Charged | Unit |
|---|---|---|---|
| Input | $2.00 | $0.800 | per 1M input tokens |
| Output | $10.00 | $4.00 | per 1M output tokens |
| Cached input | $0.100 | $0.040 | per 1M cached input tokens |
| Web search | $14.00 | $5.60 | per 1K searches |
Discount. Charged rates include the current "Launch Promo" discount of 60% on every rate.
Specifications
- Model ID
gemini-4-argon- Developer
- Type
- Text
- Input
- Text, images, audio, video and files
- Output
- Text
- Context window
- 1,048,576 tokens
- Max output
- 65,536 tokens
- Knowledge cutoff
- March 2026
- Released
- Sep 30, 2026
- Tokenizer
- Gemini
- Series
- Gemini 4
- Image input
- Up to 20 MB each
- File input
- Up to 100 MB each
- Audio input
- Up to 50 MB each
- Video input
- Up to 100 MB each
- Endpoint
/v1/chat/completions
Best for
Quickstart
Call gemini-4-argon with a POST to /v1/chat/completions on https://api.oxyy.ai, using your Oxyy API key from the OXYY_API_KEY environment variable. The same key works for every model in the catalog.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.oxyy.ai/v1",
api_key=os.environ["OXYY_API_KEY"],
)
response = client.chat.completions.create(
model="gemini-4-argon",
messages=[
{"role": "user", "content": "Explain unified AI APIs in one sentence."},
],
)
print(response.choices[0].message.content)Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better). Throughput and TTFT are measured on streaming requests, which are the only ones with a first-token moment to time.
Throughput
Latency
Time to first token
Cache hit rate
Availability
The share of requests to this model that completed successfully over the last 30 days. Requests the caller cancelled, and requests still in flight, are not counted. When an upstream provider errors, the gateway retries against another provider serving the same model, so a single provider incident does not necessarily show up here.
Days are UTC days. Days with no completed requests are omitted rather than drawn at 100% — no traffic is not evidence of availability.
Activity
Token volume and request traffic to this model over time. Daily totals, UTC.
Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. They are part of the output, so the completion bars show the rest of it and each day’s bar is its total.
Frequently asked questions
What is Gemini 4 Argon?
How much does Gemini 4 Argon cost?
What is the context length of Gemini 4 Argon?
Does Gemini 4 Argon support tool calling and structured outputs?
What inputs and outputs does Gemini 4 Argon support?
Which API endpoint does Gemini 4 Argon use?
What is the knowledge cutoff of Gemini 4 Argon?
When was Gemini 4 Argon released?
What other models does Google have?
Alternatives to Gemini 4 Argon
Models of the same kind from other vendors, closest in price first. Prices are pay-as-you-go on Oxyy, through the same API key.