Gemini 4 Argon
by Googlegoogle/gemini-4-argon
LLMCompare cannot run Gemini 4 Argon yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowGemini 4 Argon at a glance
- Context length
- 1,048,576 tokens
- Maximum output
- 943,718 tokens
- Accepts
- Text, Image, File, Audio, Video
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
highmediumlowReasoning is always on for this model.- Released
- 13 Oct 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Gemini 4 Argon pricing by route
A route is the service LLMCompare calls to reach the model. Gemini 4 Argon has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Cache writeper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $2.00 | $10.00 | $0.10 | $0.1875 | openrouter.ai/google/gemini-4-argon |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to Gemini 4 Argon costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
Billed in addition to the output tokens.
- Cost per call
- $0.007
- 9 credits
- Cost of 100 calls
- $0.70
- 900 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 943,718 | Provider default |
reasoning_effort | One of | highmediumlow | medium |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About Gemini 4 Argon
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...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Gemini 4 Argon
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
Gemini 2.5 Pro Preview 06-05Googlegoogle/gemini-2.5-pro-preview | 1.05M | 65.5k | $1.25 | $10.00 | JSONToolsCacheVision | No route yet | ||
Gemini 3.5 FlashGooglegoogle/gemini-3.5-flash | 1.05M | 65.5k | $1.50 | $9.00 | ReasoningJSONToolsCacheVision | No route yet | ||
Gemini 3.1 Pro Preview Custom ToolsGooglegoogle/gemini-3.1-pro-preview-customtools | 1.05M | 65.5k | $2.00 | $12.00 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-6.1 Sol ProOpenAIopenai/gpt-6.1-sol-pro | 1.05M | 128k | $2.00 | $10.00 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-6.1 SolOpenAIopenai/gpt-6.1-sol | 1.05M | 128k | $2.00 | $10.00 | ReasoningJSONToolsCacheVision | No route yet | ||
Claude Sonnet 5.5Anthropicanthropic/claude-sonnet-5.5 | 1M | 128k | $2.00 | $10.00 | ReasoningJSONToolsCacheVision | No route yet |
Questions about Gemini 4 Argon
- How much does Gemini 4 Argon cost?
- On the OpenRouter route, Gemini 4 Argon costs $2.00 per 1 million input tokens and $10.00 per 1 million output tokens, in US dollars. Input tokens that Gemini 4 Argon reads from the prompt cache cost $0.10 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Gemini 4 Argon?
- Gemini 4 Argon has a context length of 1,048,576 tokens and returns up to 943,718 output tokens in one call.
- What inputs does Gemini 4 Argon accept?
- Gemini 4 Argon accepts these inputs: Text, Image, File, Audio, Video. Gemini 4 Argon returns: Text.
- Which reasoning effort levels does Gemini 4 Argon support?
- Gemini 4 Argon supports these reasoning effort levels: high, medium, low. Reasoning is always on for Gemini 4 Argon and cannot be turned off.
- Can I test Gemini 4 Argon on my own data?
- Not yet. LLMCompare lists the prices and parameters of Gemini 4 Argon, but no route to Gemini 4 Argon is configured on LLMCompare, so it cannot be selected for an evaluation.