Streaming
Return partial output as it is generated for responsive product experiences.
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Google/ LLMAvailable
Google/ LLMAvailableGemini 4 Argon API
gemini-4-argonGoogle Gemini 4 Argon supports complex reasoning, coding and multimodal analysis for multi-step tasks.
- Streaming
- Vision
Playground
Configure a request, inspect the exact JSON, then run it with your account.
API key
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Multimodal inputsUp to 10 images, 10MB each
Response
The API response will appear here.
API PRICING
API pricing
Compare the complete API billing table for this route. Token models separate input, output, cache-read, cache-write, and long-context rates; media models vary by configuration.
Per 1M tokens
Input$1.6
Output$8
Cache read$0.08
USD / 1M tokens
The accepted task response is the source of truth for its final pricing snapshot.
CAPABILITIES
What this route supports
Use one stable PixMind model ID while keeping provider-specific setup out of your application.
Vision
Analyze supplied images together with written instructions.
WHY Gemini 4 Argon
Production-grade image capabilities
What makes Gemini 4 Argon a strong choice for high-fidelity, text-aware image workflows.
Complex reasoning
Explore deep multi-step reasoning for coding, research and analysis workflows.
Multimodal input
Google documents text, image, audio, video and PDF input; check the current PixMind route for available controls.
Thinking levels
The integration uses low, medium and high thinking levels. Higher effort can consume more tokens.
Shared context
Input and output share the 1,048,576-token context window. The PixMind integration limits single-response output to 32,768 tokens.
TECHNICAL SPECS
Supported parameters
Inputs, supported configurations, and request parameters for the Gemini 4 Argon API.
- Input modalities
- Text · Image · Audio · Video · PDF
- Output modality
- Text
- Context window
- 1,048,576 tokens (shared input and output)
- Maximum output
- 32,768 tokens in the PixMind integration
- Endpoint
- POST /v1/chat/completions
MODEL WORKFLOWS
What to build with Gemini 4 Argon
Choose a task that matches the live route capabilities, then adapt one of these prompt starters.
Best-fit tasks
- Build drafting, rewriting, extraction, classification, and conversational workflows.
- Return partial output as it is generated for responsive product experiences.
- Analyze supplied images together with written instructions.
Prompt starters
Replace the bracketsStarter
Inspect the supplied image for [task]. Separate direct observations from inferences, extract [required fields], and return the result as [format].
Starter
Answer [user task] in a clear structure. Put the direct result first, keep each section self-contained, and avoid delaying essential information until the end.
MODEL SELECTION
Choose Gemini 4 Argon when the job fits
Compare nearby live routes by task, supported capability, and current entry price before you lock a model ID into production.
| Model | Best for | Key capabilities | Entry price | Availability | Action |
|---|---|---|---|---|---|
Gemini 4 Argon Google · current page | Build drafting, rewriting, extraction, classification, and conversational workflows. | Text · Streaming · tool-calling | $1.6 / 1M tokens | Available | Selected |
Gemini 3.1 Pro Preview Google | Build drafting, rewriting, extraction, classification, and conversational workflows. | Text · Vision · Image input | $2.016 / 1M tokens | Available | View route |
Gemini 3.5 Flash Google | Build drafting, rewriting, extraction, classification, and conversational workflows. | Text · Vision · Image input | $1.421 / 1M tokens | Available | View route |
Gemini 3.5 Flash-Lite Google | Build drafting, rewriting, extraction, classification, and conversational workflows. | Text · Vision · Image input | $0.4032 / 1M tokens | Available | View route |
Capabilities and starting prices are a current PixMind route snapshot. The accepted request contains the final configuration and billing quote.
GET STARTED
From playground to production
Create a scoped key
Create an API key with the permissions required by this model.
Send the request
Use the model ID and endpoint shown above from your backend service.
Track the task
Read language-model output from the response. For image and video requests, use the returned task ID to retrieve the result.
FAQ
Gemini 4 Argon API questions
Is Gemini 4 Argon available on PixMind?+
Yes. Select an API key to test this page or call the gemini-4-argon API.
What is Gemini 4 Argon suited for?+
Google describes Argon as a model for complex tasks such as coding, research, analysis and multi-step reasoning.
How does Argon differ from Gemini 3.8 Flash?+
Argon targets complex deep work; Flash is the general agentic workhorse. Compare the available controls and prices when choosing a route.
Which input types does Argon support?+
Google documents text, images, audio, video and PDF. Check the current PixMind route for the inputs available here.
How large is the context window?+
The 1,048,576-token context is shared by input and output. Leave room for the response when preparing long requests.
What is the maximum output on PixMind?+
The integration supports up to 32,768 output tokens per response; longer continuation workflows are not included in this integration.
How should I control reasoning effort?+
The route supports low, medium and high thinking levels. Start with a lower setting and increase it when a task needs more reasoning.
What should I check before using the output?+
Review generated code and factual claims, verify permissions for input material, and check pricing and current route controls before production use.
What model ID should I use for the Gemini 4 Argon API?+
Use gemini-4-argon in the model field. This is the stable PixMind route identifier shown in the playground request JSON.
Which endpoint does the Gemini 4 Argon API use?+
Send POST requests to /v1/chat/completions. Keep your API key on your server and pass it as a Bearer token.
RELATED MODELS
Compare other API routes
Google
Gemini 3.1 Pro Preview
Google's frontier preview route for complex reasoning, software engineering, and multimodal analysis. It accepts text, images, and video through PixMind and is best reserved for difficult workflows that need Pro-tier depth and tool use.
View APIGoogle
Gemini 3.5 Flash
A high-efficiency Gemini model that brings strong coding, reasoning, and multimodal understanding to Flash-tier workloads. It fits responsive agents and parallel processing where throughput and capable visual analysis must stay balanced.
View APIGoogle
Gemini 3.5 Flash-Lite
Google's most cost-efficient Flash tier for focused, repeatable subtasks. Use it for high-volume chat, extraction, classification, and lightweight agents where a smaller price footprint matters more than maximum reasoning depth.
View APISTART WITH THE CONTROL PLANE
Turn your first Gemini 4 Argon prompt into a real API request
Test the exact payload in the playground, then create a scoped key and move the same model ID into your application.