Price listing
Claude Opus 4.6
13 public records are listed; open the full page to review details as needed.
Price listing
Claude Opus 4.7
12 public records are listed; open the full page to review details as needed.
Price listing
Claude Opus 4.8
7 public records are listed; open the full page to review details as needed.
Price listing
Claude Sonnet 4.6
13 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.4
4 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.5
4 public records are listed; open the full page to review details as needed.
Price listing
Qwen3.6 plus
1 public records are listed; open the full page to review details as needed.
Price listing
Gemini 3.1 Pro
2 public records are listed; open the full page to review details as needed.
Price listing
DeepSeek V4 Pro
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
DeepSeek V4 Flash
1 public records are listed; open the full page to review details as needed.
Price listing
GLM 5.1
1 public records are listed; open the full page to review details as needed.
Price listing
Gemini 3.5 Flash
1 public records are listed; open the full page to review details as needed.
Price listing
Kimi 2.6
1 public records are listed; open the full page to review details as needed.
Price listing
MiniMax M2.7
1 public records are listed; open the full page to review details as needed.
Price listing
NanoBanana 2
1 public records are listed; open the full page to review details as needed.
Current public prices are shown by model and channel. Token prices use CNY per 1M tokens unless another billing unit is shown.
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| cx2cc | claude-opus-4-6 | 输入 ¥0.75 / 输出 ¥3.75 / 缓存 ¥0.075 / 写入 ¥0.9375 | 0% | — | — | — |
| kiro | claude-opus-4-6 | 输入 ¥1 / 输出 ¥5 / 缓存 ¥0.1 / 写入 ¥1.25 | 0% | — | — | — |
| kiro-备用 | claude-opus-4-6 | 输入 ¥1.5 / 输出 ¥7.5 / 缓存 ¥0.15 / 写入 ¥1.88 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| kiro | claude-opus-4-7 | 输入 ¥1 / 输出 ¥5 / 缓存 ¥0.1 / 写入 ¥1.25 | 0% | — | — | — |
| kiro-备用 | claude-opus-4-7 | 输入 ¥1.5 / 输出 ¥7.5 / 缓存 ¥0.15 / 写入 ¥1.88 | 0% | — | — | — |
| aws-q | claude-opus-4-7 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.2 / 写入 ¥2.5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| kiro | claude-opus-4-8 | 输入 ¥1 / 输出 ¥5 / 缓存 ¥0.1 / 写入 ¥1.25 | 0% | — | — | — |
| aws-q | claude-opus-4-8 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.2 / 写入 ¥2.5 | 0% | — | — | — |
| windsurf | claude-opus-4-8 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.2 / 写入 ¥2.5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| cx2cc | claude-sonnet-4-6 | 输入 ¥0.45 / 输出 ¥2.25 / 缓存 ¥0.045 / 写入 ¥0 | 0% | — | — | — |
| kiro | claude-sonnet-4-6 | 输入 ¥0.6 / 输出 ¥3 / 缓存 ¥0.06 / 写入 ¥0 | 0% | — | — | — |
| kiro-备用 | claude-sonnet-4-6 | 输入 ¥0.9 / 输出 ¥4.5 / 缓存 ¥0.09 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 福利分组 | gpt-5.4 | 输入 ¥0.125 / 输出 ¥0.75 / 缓存 ¥0.0125 / 写入 ¥0 | 0% | — | — | — |
| codex | gpt-5.4 | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0 | 0% | — | — | — |
| codex-pro | gpt-5.4 | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0.1 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 福利分组 | gpt-5.5 | 输入 ¥0.25 / 输出 ¥1.5 / 缓存 ¥0.025 / 写入 ¥0 | 0% | — | — | — |
| codex | gpt-5.5 | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0.1 / 写入 ¥0 | 0% | — | — | — |
| codex-pro | gpt-5.5 | 输入 ¥2 / 输出 ¥12 / 缓存 ¥0.2 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 国产模型 | Qwen3.6-Plus | 输入 ¥3.2 / 输出 ¥12.8 / 缓存 ¥0.32 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gemini | gemini-3.1-pro-preview | 输入 ¥1.6 / 输出 ¥6.4 / 缓存 ¥0.16 / 写入 ¥0 | 0% | — | — | — |
| gemini-tier3 | gemini-3.1-pro-preview | 输入 ¥2.4 / 输出 ¥9.6 / 缓存 ¥0.24 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| DeepSeek | deepseek-v4-pro | 输入 ¥1.8 / 输出 ¥3.6 / 缓存 ¥0.0015 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| image | gpt-image-2 | ¥0.15 / 次 | - | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| DeepSeek | deepseek-v4-flash | 输入 ¥0.6 / 输出 ¥1.2 / 缓存 ¥0.012 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 国产模型 | GLM-5.1 | 输入 ¥1.6 / 输出 ¥6.4 / 缓存 ¥0.16 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gemini-tier3 | gemini-3.5-flash | 输入 ¥1.8 / 输出 ¥10.8 / 缓存 ¥0.18 / 写入 ¥0.1 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 国产模型 | Kimi-K2.6 | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0.1 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 国产模型 | MiniMax-M2.7 | 输入 ¥1 / 输出 ¥4 / 缓存 ¥0.1 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| image | gemini-3.1-flash-image-preview | ¥0.27 / 次 | - | — | — | — |
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.