Gemini 4 Argon (batch)
google/gemini-4-argon:batch
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
Key facts
- Input price
- $1.00 / 1M tokens
- Output price
- $5.00 / 1M tokens
- Context window
- 1M tokens
- Max output
- 944K tokens
- Accepts
- Text, Images, Files, Audio, Video
- Returns
- Text
Example: 1,000 requests with 1,000 input and 500 output tokens each would cost about $3.50 (1M input tokens × $1.00 + 0.5M output tokens × $5.00). Estimate your own usage.
Prices are the provider’s own per-token rates with zero markup, from our price list as of Oct 18, 2026. If a call has extra provider charges (images, audio, web search, cached prompts), you pay the reported cost.
Call it from your code
curl https://api.tokenctr.com/v1/chat/completions \
-H "Authorization: Bearer $TOKENCENTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "google/gemini-4-argon:batch", "messages": [{"role": "user", "content": "Hello!"}]}'Works with any OpenAI-compatible SDK: set the base URL to https://api.tokenctr.com/v1. Quickstart
Benchmarks
Artificial Analysis
- Intelligence index
- 52.6
Design Arena
| Category | Rank | Elo | Win rate |
|---|---|---|---|
| Models: Game dev | 6 | 1371 | 62.2% |
| Models: Websites | 6 | 1324 | 56.4% |
| Models: 3D | 7 | 1390 | 64.3% |
| Models: Code | 8 | 1336 | 57.6% |
| Models: UI components | 18 | 1297 | 51.2% |
Source: Artificial Analysis indexes and Design Arena results as published in OpenRouter’s model data, fetched Oct 15, 2026. Higher is better. Not measured by TokenCenter. See all rankings.