Measured on Composite
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
AI model
google/gemini-4-argon
Google: Gemini 4 Argon is a 1,048,576-token model served on Composite at $1.25 per million tokens in and $6.25 per million tokens out.
Try in Playground| Model ID | google/gemini-4-argon |
|---|---|
| Provider | Google AI Studio |
| Context window | 1,048,576 tokens |
| Accepts | audio, file, image, text, video |
| Returns | text |
| Input price | $1.25 per million tokens |
| Output price | $6.25 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Image input | $0.0000012 per image |
| Audio input | $0.0000012 per second |
| Reasoning tokens | $6.25 per million tokens |
| Web search | $0.0175 per result |
| Thinking | Always on for this model |
| Moderated | No |
| Cost on a monthly plan | About 13 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | google/gemini-4-argon:cheapThink |
Google AI Studio | $1.25 per million tokens input · $6.25 per million tokens output |
$1.25 per million tokens input · $6.25 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 13 plan credits, at the provider's own price.
Google AI Studio
Gemini models combine large context windows with fast throughput, which keeps response times low even in busy group chats.
With a 1,048,576-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
It sits in the mid-range on price, a reasonable pick for regular roleplay use without going for the cheapest option available.
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. Google trained it to keep context across...
Supplied by Google AI Studio, not written by Composite.
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