Opus 4.8
1 public records are listed; open the full page to review details as needed.| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude-kiro逆向 | claude-opus-4-8 | 输入 ¥5.47 / 输出 ¥27.38 / 缓存 ¥0.5475 / 写入 ¥6.84 | 0% | — | — | — |
- Site domain
- api.tokenflyapi.com
- Established
- 2026-06-20
- Covered models
- Opus 4.8 / Opus 4.7 / Sonnet 5 / GPT 5.6 Sol / GPT 5.6 Terra / GPT 5.5 / GPT Image 2 / Opus 4.6
- Public records
- 19 public records
- User feedback
- 0 up / 0 down
Site descriptions, notices, and reviews are shown in the language in which they were submitted.
Site introduction
tokenflyapi 是一站式大模型 API 网关，整合 GPT、Claude、Gemini 主流 AI 模型。使用单个 API Key 即可完成多模型切换调用，适配 Agent 开发、应用落地、接口测试与企业内部系统集成。支持余额充值、按量计费、套餐订阅，价格公开透明，减少多源接口适配成本，为开发者提供稳定高性价比的大模型接入方案。
Model coverage summary
Price listing
Opus 4.8
1 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.7
1 public records are listed; open the full page to review details as needed.
Price listing
Sonnet 5
1 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Sol
2 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Terra
2 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.5
1 public records are listed; open the full page to review details as needed.
Price listing
GPT Image 2
1 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.6
1 public records are listed; open the full page to review details as needed.
Public model pricing
Current public prices are shown by model and channel. Token prices use CNY per 1M tokens unless another billing unit is shown.
Opus 4.7
1 public records are listed; open the full page to review details as needed.| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude-kiro逆向 | claude-opus-4-7 | 输入 ¥5.47 / 输出 ¥27.38 / 缓存 ¥0.5475 / 写入 ¥6.84 | 0% | — | — | — |
Sonnet 5
1 public records are listed; open the full page to review details as needed.| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude-kiro逆向 | claude-sonnet-5 | 输入 ¥2.19 / 输出 ¥10.95 / 缓存 ¥0.219 / 写入 ¥2.74 | 0% | — | — | — |
GPT 5.6 Sol
2 public records are listed; open the full page to review details as needed.| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gpt-plus分组 | gpt-5.6-sol | 输入 ¥82.13 / 输出 ¥492.75 / 缓存 ¥0 / 写入 ¥102.66 | +50% | — | — | — |
| gpt-pro号池 | gpt-5.6-sol | 输入 ¥109.5 / 输出 ¥657 / 缓存 ¥0 / 写入 ¥136.88 | +11% | — | — | — |
GPT 5.6 Terra
2 public records are listed; open the full page to review details as needed.| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gpt-plus分组 | gpt-5.6-terra | 输入 ¥82.13 / 输出 ¥492.75 / 缓存 ¥0 / 写入 ¥0 | +50% | — | — | — |
| gpt-pro号池 | gpt-5.6-terra | 输入 ¥109.5 / 输出 ¥657 / 缓存 ¥0 / 写入 ¥0 | +11% | — | — | — |
GPT 5.5
1 public records are listed; open the full page to review details as needed.| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gpt-pro号池 | gpt-5.5 | 输入 ¥7.3 / 输出 ¥43.8 / 缓存 ¥0.73 / 写入 ¥0.73 | +11% | — | — | — |
GPT Image 2
1 public records are listed; open the full page to review details as needed.| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gpt-pro号池 | gpt-image-2 | ¥1.09 / 次 | - | — | — | — |
Opus 4.6
1 public records are listed; open the full page to review details as needed.| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude-kiro逆向 | claude-opus-4-6 | 输入 ¥5.47 / 输出 ¥27.38 / 缓存 ¥0.5475 / 写入 ¥6.84 | 0% | — | — | — |
How to read this data
Uptime is the share of recent probes where the service was available; a higher value generally indicates better stability.
Model consistency uses model pass results to show whether the endpoint behaves like the target model.
Pricing and latency come from public monitoring data and are intended for side-by-side gateway comparison.
Data is provided for reference. Third-party gateways may experience outages or balance loss, so test first and add only a small balance when needed.