模型詳情
GPT-5.6 Terra
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic tasks where capability and cost need to be balanced, offering strong performance at roughly half the cost of Sol.
模型規格
- 上下文長度
- 1.05M
- 最大輸出
- 128K
- 輸入/輸出模態
- 文字 / 圖片
- 發布日期
- 2026-07
02
API 端點
單一 MixRoute 閘道，OpenAI 相容
-
OpenAI-compatible
/v1/chat/completionsPOST
03
階梯價格
單位：/1M Tokens
| 檔位 | 輸入 /1M Tokens | 輸出 /1M Tokens | 快取讀取 /1M Tokens | 快取寫入 /1M Tokens |
|---|---|---|---|---|
| standard Length ≤ 272K | $2.0000 | $12.0000 | $0.2000 | $2.5000 |
| long_context Length > 272K | $4.0000 | $18.0000 | $0.4000 | $5.0000 |
05
選型摘要
快速判斷是否適合你的工作負載
What is this model good for?
Everyday coding, reasoning, and agent tasks to test first
Use GPT-5.6 Terra for everyday coding, reasoning, and agent workflows where capability and cost need to be balanced, as stated in the official description. The full specifications and capability list are not published yet, so run one representative coding or reasoning task and compare output quality against your current model before scaling.
model: "gpt-5.6-terra", then compare with your baseline results.
What should you check before using it?
Check the 272K pricing tier boundary
Before adopting GPT-5.6 Terra, check the pricing boundary at 272K input tokens: requests at or below that length are billed $2.0000 per 1M input tokens, while longer requests move to the long-context tier at $4.0000. 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 Terra through MixRoute's OpenAI-compatible endpoint (POST /v1/chat/completions) with the model ID gpt-5.6-terra. 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-terra" and rerun your integration tests.
08
Token 成本估算
基於本頁價格的即時估算，非實際帳單
同一前綴被重複讀取的輸入占比，最高 100%
單一端點，可驗證的決策
使用相同的請求格式測試此模型與替代路由
從真實工作負載開始，再由品質、總成本與故障條件決定是否導入正式環境流量。