Gemini 4 Argon
gemini-4-argonGemini 4 Argon by Google: 1M context, 1M max output, with Vision, Function Calling, Reasoning, Prompt Caching, Response Schema, Audio, Video, File Input, Streaming, Session, Web Search. Via WandAPI, Input (prompt) costs 4 Credits / M tokens, 69% below list price. Compatible with Gemini generateContent: swap the base URL and you are connected.
Capabilities
Listed exactly as the catalog flags them, including what this model does not support.
Vision
Natively multimodal: captioning, classification, visual Q&A, chart and screenshot understanding. Images are converted to tokens at the input rate.
Function Calling
Connect the model to external tools and APIs: it decides when to call which function and with what arguments, your code runs it. Force or forbid calls with tool_choice.
Reasoning
The model thinks before answering, which markedly improves multi-step planning and reasoning for coding, math and data analysis. Thinking tokens bill at the output rate.
Prompt Caching
Repeated prefixes (system prompts, long documents) hit the cache: reads cost far less than input, writes are priced by retention time.
Response Schema
Constrain output to a JSON Schema you provide for predictable, type-safe results without parsing free text.
Audio
Audio input or speech output.
Video
Video input understanding or video generation.
File Input
Upload PDFs and other documents directly; the model reads the whole document with native vision.
Streaming
Tokens arrive over SSE as they are generated; the first frame is forwarded immediately with no buffering. Claude Code, Codex and similar tools depend on this.
Web Search
Vendor-hosted live web retrieval; the model decides when to search and cites sources.
Session
Server-side multi-turn context (e.g. previous_response_id in Responses) so you need not resend history.
RealtimeNot supported
Bidirectional low-latency voice / text sessions over WebSocket.
MediaNot supported
Image / video / music generation endpoints.
Multipart FormNot supported
multipart/form-data file-upload requests.
Binary ResponseNot supported
Endpoints that return raw audio / image bytes.
Protocols & code samples
Change the base URL to WandAPI, keep everything else. Native protocols pass straight through; “adapted” ones are translated by the gateway.
Google GenAI SDK or any generateContent client: point the base URL at https://api.wandapi.com.
curl "https://api.wandapi.com/v1beta/models/gemini-4-argon:generateContent" \
-H "x-goog-api-key: $WANDAPI_KEY" \
-H "content-type: application/json" \
-d '{
"contents": [{"parts": [{"text": "Explain prompt caching in one sentence"}]}]
}'| Endpoint | Path | Mode |
|---|---|---|
| Token count | POST /v1beta/models/{model}:countTokens | native |
Full price list
List price → WandAPI price per channel, every pricing dimension, nothing hidden.
| Item | Unit | Google list price | Gemini文字分组 ×269% off |
|---|---|---|---|
| Input (prompt) | per 1M tokens | 4 Credits | |
| Output (completion) | per 1M tokens | 20 Credits | |
| Cache read | per 1M tokens | 0.2 Credits | |
| Web search (general) | per 1K calls | 28 Credits | |
| Google Maps grounding | per 1K calls | 28 Credits |
“Off” is computed at 1 Credit = ¥1 and today’s rate: 1 − channel multiplier × (1 Credit in the list currency).
FAQ
How much does the Gemini 4 Argon API cost?
Via WandAPI, Input (prompt) costs 4 Credits / M tokens, with 1 Credit = ¥1. That is 69% below the Google list price.
What are the context window and output limit of Gemini 4 Argon?
Context window 1M tokens, up to 1M tokens per response.
Does Gemini 4 Argon support function calling and structured outputs?
Function calling with tool_choice control is supported; structured outputs (JSON Schema) are supported.
One API key for Gemini 4 Argon and 30+ models
Free credits on sign-up, pay as you go, no monthly fee.