Gemini 4 Argon
gemini-4-argonCompare gemini-4-argon API pricing, supported endpoints, capabilities and access options on Modelsell.
- Starting price
- Input / Output · 1M
- Context
- 1M
- Maximum input window
- Max output
- 1M
- Maximum tokens per response
- Modalities
- →
- Released
- Sep 2026
Pricing by Supplier
Capabilities / Supported modalities
Provider & data privacy
SentencePiece (Gemini)Performance
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Gemini 4 Argon
This model is not included in the current benchmark snapshot.
Missing models or measurements are not zero scores.
Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.
About Gemini 4 Argon
Gemini 4 Argon 于 2026 年 9 月 30 日公布，面向需要持续推理的复杂任务，包括代码调试与迁移、法律和金融研究、文档处理及创意写作。官方公布的输出上限为 1,000,000 token，并展示了图表分析、长视频理解及多步骤工具调用能力。
官方仍在分阶段开放访问。当前公开资料未明确精确输入上下文上限、知识截止日期、参数规模和完整 API 支持矩阵；这些未知项不作推定。官方输出能力不代表每个供应商渠道均接受同样的请求上限。
首发基础价（美元／百万 token）：输入 $2，输出 $10，缓存读取 $0.10。首发优惠截至 2026-12-31；官方公布自 2027-01-01 起输入 $4、输出 $20。未公布 Argon 专属的长上下文分档价格。
Use cases and prompting
平台模型标识填写 gemini-4-argon。当前已配置 Gemini 原生 POST /v1beta/models/gemini-4-argon:generateContent 与 OpenAI 兼容 POST /v1/chat/completions，选择包含此模型的 Google 分组。
先根据任务设置合理的输出预算，再逐步调整；实际参数、模态和输出上限以上游渠道为准。图表、视频和文档能力来自官方模型说明，当前渠道的具体支持需以真实调用结果确认。
当前采用首发基础价；分组或令牌折扣会影响实际费用。缓存读取按输入价的 5% 计算，缓存存储等未公布费用不作推定。
API access
API documentation
Code samples
/v1/chat/completions| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Replace <YOUR_API_KEY> with the API key from your token settings.
Authentication
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
Supported parameters
| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Rate limits
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Google AI Studio | Unlimited | Unlimited | Unlimited |
| Google Vertex | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about gemini-4-argon
What is gemini-4-argon?
Compare gemini-4-argon API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call gemini-4-argon?
Create an API key with access to gemini-4-argon, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is gemini-4-argon priced?
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
What is the context window of gemini-4-argon?
The model catalog lists a context window of 1000000 tokens. Check the selected endpoint for request limits.
What is the maximum output of gemini-4-argon?
The model catalog lists a maximum output of 1000000 tokens. Your request settings may set a lower limit.
How should I evaluate gemini-4-argon for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.