| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| hvoy | Token | ¥3.29 | ¥19.71 | ¥0.3285 | ¥4.11 |
OpenAI
GPT 5.6 Sol
Context-
Released-
Relays141 sites
Relay Comparison
Compare token, per-request, or per-second pricing by relay channel.
Unit: token prices are ¥ / 1M tokens; per-request and per-second rows use their shown unit
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| codex | Token | ¥5.1 | ¥30.6 | ¥0.51 | ¥6.38 |
Price range ¥1 / 1M tokens
Codex-Plus
BillingToken
Input¥1
Output¥6
Cache hit¥0.1
Cache write¥1.25
default
BillingToken
Input¥1
Output¥6
Cache hit¥0.1
Cache write¥1.25
Image-2
BillingToken
Input¥1
Output¥6
Cache hit¥0.1
Cache write¥1.25
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| Codex-Plus | Token | ¥1 | ¥6 | ¥0.1 | ¥1.25 |
| default | Token | ¥1 | ¥6 | ¥0.1 | ¥1.25 |
| Image-2 | Token | ¥1 | ¥6 | ¥0.1 | ¥1.25 |
Price range ¥0.6 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| Codex超级套餐 | Token | ¥0.6 | ¥3.6 | ¥0.06 | ¥0.75 |
Price range ¥0.6 - ¥1.3 / 1M tokens
Codex-限时福利
BillingToken
Input¥0.6
Output¥3.6
Cache hit¥0.06
Cache write¥0.75
Codex-Pro-Plus
BillingToken
Input¥1.25
Output¥7.5
Cache hit¥0.125
Cache write¥1.56
Codex-Pro-Fast
BillingToken
Input¥1.3
Output¥7.8
Cache hit¥0.13
Cache write¥1.63
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| Codex-限时福利 | Token | ¥0.6 | ¥3.6 | ¥0.06 | ¥0.75 |
| Codex-Pro-Plus | Token | ¥1.25 | ¥7.5 | ¥0.125 | ¥1.56 |
| Codex-Pro-Fast | Token | ¥1.3 | ¥7.8 | ¥0.13 | ¥1.63 |
Price range ¥1.25 - ¥15 / 1M tokens
codex-特惠活动
BillingToken
Input¥1.25
Output¥10
Cache hit¥0.125
Cache write¥1.56
codex
BillingToken
Input¥1.9
Output¥15.2
Cache hit¥0.19
Cache write¥2.38
Azure-GPT
BillingToken
Input¥15
Output¥120
Cache hit¥1.5
Cache write¥18.75
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| codex-特惠活动 | Token | ¥1.25 | ¥10 | ¥0.125 | ¥1.56 |
| codex | Token | ¥1.9 | ¥15.2 | ¥0.19 | ¥2.38 |
| Azure-GPT | Token | ¥15 | ¥120 | ¥1.5 | ¥18.75 |
Price range ¥0.8 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| default | Token | ¥0.8 | ¥6.4 | ¥0.25 | - |
Price range ¥0.75 - ¥1 / 1M tokens
Codex 专用分组
BillingToken
Input¥0.75
Output¥4.5
Cache hit-
Cache write-
Codex 专用分组-Pro号池
BillingToken
Input¥0.9
Output¥5.4
Cache hit-
Cache write-
gpt-pro临时保障号池
BillingToken
Input¥1
Output¥6
Cache hit-
Cache write-
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| Codex 专用分组 | Token | ¥0.75 | ¥4.5 | - | - |
| Codex 专用分组-Pro号池 | Token | ¥0.9 | ¥5.4 | - | - |
| gpt-pro临时保障号池 | Token | ¥1 | ¥6 | - | - |
Price range ¥1.75 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| Pro20x号池 | Token | ¥1.75 | ¥10.5 | ¥0.175 | ¥2.19 |
Price range ¥1.7 - ¥2 / 1M tokens
economy
BillingToken
Input¥1.7
Output¥10.2
Cache hit¥0.17
Cache write¥3.4
default
BillingToken
Input¥2
Output¥12
Cache hit¥0.2
Cache write¥4
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| economy | Token | ¥1.7 | ¥10.2 | ¥0.17 | ¥3.4 |
| default | Token | ¥2 | ¥12 | ¥0.2 | ¥4 |
How should GPT 5.6 Sol relay pricing be compared?
This GPT 5.6 Sol pricing page compares official pricing with public prices from 141 listed AI gateways. Token prices are shown in CNY per 1M tokens, while per-request, per-second, and per-character rows use the unit shown in the table. Last updated: 08/06/2026, 23:13.
- Data sources
- Public price catalogs, official pricing records, and monitoring results.
- Metric definitions
- Uptime means successful probe response rate, fake-rate signals possible model mismatch or abnormal output risk, and latency is average API response time.
- Risk note
- Relay gateways are third-party services. Pricing, billing, privacy, and stability can change; start with a small top-up and verify reliability before continued use.