模型详情
GPT-5.6 Sol
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving.
模型规格
- 上下文长度
- 1.05M
- 最大输出
- 128K
- 输入/输出模态
- 文本 / 图像
- 发布日期
- 2026-07
02
API 端点
单一 MixRoute 网关，OpenAI 兼容
-
OpenAI-compatible
/v1/chat/completionsPOST
03
阶梯价格
单位：/1M Tokens
| 档位 | 输入 /1M Tokens | 输出 /1M Tokens | 缓存读取 /1M Tokens | 缓存写入 /1M Tokens |
|---|---|---|---|---|
| standard Length ≤ 272K | $4.0000 | $20.0000 | $0.4000 | $5.0000 |
| long_context Length > 272K | $8.0000 | $30.0000 | $0.8000 | $10.0000 |
05
选型摘要
快速判断是否适合你的工作负载
What is this model good for?
Complex reasoning and multi-step coding tasks to test first
Use GPT-5.6 Sol for complex reasoning, coding, and agent workflows, with the official description highlighting command-line and multi-step coding tasks and long-horizon problem solving. The full specifications and capability list are not published yet, so start with one representative reasoning or coding task and compare results on your own workload.
model: "gpt-5.6-sol" and compare against your current setup.
What should you check before using it?
Check the 272K pricing tier boundary
Before adopting GPT-5.6 Sol, check the pricing boundary at 272K input tokens: requests at or below that length are billed $4.0000 per 1M input tokens, while longer requests move to the long-context tier at $8.0000. Measure your typical request size and estimate both tiers so the projected cost reflects your real usage.
Why use it through MixRoute?
Call it on the OpenAI-compatible endpoint with its model ID
Call GPT-5.6 Sol through MixRoute's OpenAI-compatible endpoint (POST /v1/chat/completions) with the model ID gpt-5.6-sol. Because the endpoint follows the OpenAI request format, you can keep your existing OpenAI-style client, change the model string, and test the same code path against your current setup.
/v1/chat/completions with model: "gpt-5.6-sol" and rerun your integration tests.
08
Token 成本估算
基于本页价格的实时估算，非实际账单
同一前缀被重复读取的输入占比，最高 100%
单一端点，可验证的决策
使用相同的请求格式测试此模型和备用路由
从真实工作负载开始，再由质量、总成本和故障条件决定是否接入生产流量。