GPT 5.6 Sol
gpt-5.6-solCompare gpt-5.6-sol API pricing, supported endpoints, capabilities and access options on voguesly.
- Starting price
- View full pricing
- Context
- 1.1M
- Maximum input window
- Max output
- 128K
- Maximum tokens per response
- Modalities
- →
- Knowledge cutoff
- Feb 2026
- Released
- Jul 2026
Pricing by Supplier
| Tier | Input/ 1M tokens | Output/ 1M tokens | Cache Read/ 1M tokens | Cache Write (5m)/ 1M tokens |
|---|---|---|---|---|
standardInput ≤ 272K tokens | $2 | $10 | $0.2 | $2.5 |
long_ | $4 | $15 | $0.4 | $5 |
- Input/ 1M tokens
- $2
$4 - Output/ 1M tokens
- $10
$20 - Cache Read/ 1M tokens
- $0.2
$0.4 - Cache Write (5m)/ 1M tokens
- $2.5
$5
- Input/ 1M tokens
- $4
$8 - Output/ 1M tokens
- $15
$30 - Cache Read/ 1M tokens
- $0.4
$0.8 - Cache Write (5m)/ 1M tokens
- $5
$10
| Tier | Input/ 1M tokens | Output/ 1M tokens | Cache Read/ 1M tokens | Cache Write (5m)/ 1M tokens |
|---|---|---|---|---|
standardInput ≤ 272K tokens | $1.8 | $9 | $0.18 | $2.25 |
long_ | $3.6 | $13.5 | $0.36 | $4.5 |
- Input/ 1M tokens
- $1.8
$4 - Output/ 1M tokens
- $9
$20 - Cache Read/ 1M tokens
- $0.18
$0.4 - Cache Write (5m)/ 1M tokens
- $2.25
$5
- Input/ 1M tokens
- $3.6
$8 - Output/ 1M tokens
- $13.5
$30 - Cache Read/ 1M tokens
- $0.36
$0.8 - Cache Write (5m)/ 1M tokens
- $4.5
$10
| Tier | Input/ 1M tokens | Output/ 1M tokens | Cache Read/ 1M tokens | Cache Write (5m)/ 1M tokens |
|---|---|---|---|---|
standardInput ≤ 272K tokens | $1.8 | $9 | $0.18 | $2.25 |
long_ | $3.6 | $13.5 | $0.36 | $4.5 |
- Input/ 1M tokens
- $1.8
$4 - Output/ 1M tokens
- $9
$20 - Cache Read/ 1M tokens
- $0.18
$0.4 - Cache Write (5m)/ 1M tokens
- $2.25
$5
- Input/ 1M tokens
- $3.6
$8 - Output/ 1M tokens
- $13.5
$30 - Cache Read/ 1M tokens
- $0.36
$0.8 - Cache Write (5m)/ 1M tokens
- $4.5
$10
| Tier | Input/ 1M tokens | Output/ 1M tokens | Cache Read/ 1M tokens | Cache Write (5m)/ 1M tokens |
|---|---|---|---|---|
standardInput ≤ 272K tokens | $0.2 | $1 | $0.02 | $0.25 |
long_ | $0.4 | $1.5 | $0.04 | $0.5 |
- Input/ 1M tokens
- $0.2
$4 - Output/ 1M tokens
- $1
$20 - Cache Read/ 1M tokens
- $0.02
$0.4 - Cache Write (5m)/ 1M tokens
- $0.25
$5
- Input/ 1M tokens
- $0.4
$8 - Output/ 1M tokens
- $1.5
$30 - Cache Read/ 1M tokens
- $0.04
$0.8 - Cache Write (5m)/ 1M tokens
- $0.5
$10
Capabilities / Supported modalities
Provider & data privacy
o200k_basePerformance
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·GPT 5.6 Sol
Intelligence Index
GPT 5.6 sol
47.0
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 GPT 5.6 Sol
从复杂材料中形成完整方案
GPT-5.6 Sol 适合需要综合判断的专业工作，例如比较技术路线、梳理业务需求、分析长文档和推进代码实现。它可以阅读文本与图片，输出分析、代码和结构化结果，也能结合图表或界面材料理解问题。
当任务涉及多个约束时，可以先让它建立判断框架，再逐项比较方案。例如把产品目标、现有架构、资源限制和用户反馈一起提供，要求它说明每种方案解决什么问题、依赖哪些前提，以及哪些结论还需要额外验证。这样形成的方案更便于团队讨论，也容易转换为实施清单。
推理投入可以按任务调整，从不启用推理到不同深度的思考都有对应选择。简单整理与明确改写可以减少投入，复杂代码分析和跨材料决策则适合增加推理空间。结构化输出适合把提取字段或判断结果交给后续程序处理。
需要实际搜索、计算、读取文件或操作项目时，可在 Responses API 中配置对应工具。模型支持网页与文件搜索、代码解释器、终端、补丁和计算机操作等工具能力，实际可用范围取决于应用提供的环境。任务完成后，要求它把依据、实际操作与验证结果写清楚，方便判断方案是否已经落地。
Use cases and prompting
技术路线比较提示词
“请根据需求文档、现有架构和团队约束，比较同步处理与异步队列两种实现。先定义评估维度，再分析响应时间、失败恢复、维护成本和迁移影响。每项结论写出依据，给出建议方案及改变建议的条件，最后列出需要验证的假设。”
常见问题
- 想调用搜索或终端工具，用哪个接口？在 Responses API 中配置模型支持的工具，并提供所需环境。
- 简单任务需要复杂推理吗？可以选择
none或较低投入，再根据实际结果提高。 - 方案看起来完整，怎样判断可实施？要求列出依赖、验收标准和验证结果，特别区分已经检查与尚未执行的步骤。
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 |
|---|---|---|---|
| GPT官+AZ 混合 | Unlimited | Unlimited | Unlimited |
| GPT特价 | Unlimited | Unlimited | Unlimited |
| OpenAI | Unlimited | Unlimited | Unlimited |
| Azure | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about gpt-5.6-sol
What is gpt-5.6-sol?
Compare gpt-5.6-sol API pricing, supported endpoints, capabilities and access options on voguesly.
How do I call gpt-5.6-sol?
Create an API key with access to gpt-5.6-sol, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is gpt-5.6-sol 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 gpt-5.6-sol?
The model catalog lists a context window of 1050000 tokens. Check the selected endpoint for request limits.
What is the maximum output of gpt-5.6-sol?
The model catalog lists a maximum output of 128000 tokens. Your request settings may set a lower limit.
How should I evaluate gpt-5.6-sol for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.