Interface AI special subscription package is now available

低价资源尝鲜包
官方同款低价模型,限时尝鲜价
一折尝鲜包
低价资源
模型:
claude-opus-4-8-r
claude-opus-4-7-r
claude-opus-4-6-r
点击查看更多模型
规格:
1250万 融合 tokens
  • 价格低至 1~2 折
  • 模型能力同源
  • 稳定性受线路影响
  • 适合个人 / 尝鲜
$
1.99
官方同款低价模型 · 仅限购买1次
$1.99 立即尝鲜
特惠资源包
Claude、Gemini、GPT 不同模型各有所长,面对不同任务时自由切换,永远调用最适合的 AI。告别单一模型的局限,让三大顶级智能为您的工作与创作全程护航。
Lite套餐
官方资源
Model:
claude-opus-4-7
claude-opus-4-8
claude-opus-4-8-r
Click to view more models
Specification:
2000万 融合 tokens
  • 官方稳定 / SLA
  • 全功能支持
  • 企业 / 生产可用
  • 合规敏感场景
$
15.9
折扣优惠20.50%
/包月
刊例价:$20/包月
Subscribe Now
Pro套餐
官方资源
Model:
claude-opus-4-7
claude-opus-4-8
claude-opus-4-8-r
Click to view more models
Specification:
1亿 融合 tokens
  • 官方稳定 / SLA
  • 全功能支持
  • 企业 / 生产可用
  • 合规敏感场景
$
79.9
折扣优惠20.10%
/包月
刊例价:$100/包月
Subscribe Now
Max套餐
官方资源
Model:
claude-opus-4-7
claude-opus-4-8
claude-opus-4-8-r
Click to view more models
Specification:
3亿 融合 tokens
  • 官方稳定 / SLA
  • 全功能支持
  • 企业 / 生产可用
  • 合规敏感场景
$
239.9
折扣优惠20.03%
/包月
刊例价:$300/包月
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低价尝鲜包活动规则说明

Unified Token Description

The tokens in the subscription package are unified tokens and can be used to call any model included in the package. The specific consumption ratio is subject to real-time calculation during the API call.

  • 基准定义:以 claude-haiku-4-5-20251001-r 的输入 token 价格为基准价, 即 $0.2/Mtoken (每百万输入 token 价值 0.2 美元)。
  • 换算规则 :当调用其他模型时,系统将根据该模型的目录价格与基准模型价格的比例, 自动换算并抵扣订阅包内的融合 token。例如,若某模型的输入价格为 $0.5/Mtoken, 则调用该模型消耗的融合 token 数量将是基准模型的 2.5 倍。
  • Consumption calculation: The token consumption for one API call is input token consumption + Cached writes token consumption + Cached reads token consumption + output token consumption, each calculated according to the respective model'sDeduction Multiplierfor conversion.

计算示例

例:在一次 claude-opus-4-6-r 的推理请求中

  • Token consumption: input tokens: 11, Cached writess (5m) tokens: 4629, output tokens: 2456
  • 抵扣系数:input: 5、Cached writess(5m): 6.25、output: 25
  • 则融合 tokens 消耗后是 = 11 ×5 + 4629 × 6.25 + 2456 × 25=90386.25

Models and Deduction Multipliers

Modeltier/tokeninput deduction coefficientcached writes (5m) deduction coefficientcached writes (1h) deduction coefficientcached reads deduction coefficientoutput deduction coefficient
claude-haiku-4-5-20251001-r11.2520.15
claude-opus-4-6-r56.25100.525
claude-opus-4-7-r56.25100.525
claude-opus-4-8-r56.25100.525
claude-sonnet-4-6-r33.7560.315
gpt-5.5-r2.5--0.2515

Final Interpretation Rights Notice

The specific reward amount, voucher rebate ratio, and other details of this campaign are subject to the final interpretation of Interface AI. If any abuse of vulnerabilities or violations (such as creating fake accounts) are discovered, Interface AI reserves the right to disqualify participants and recover rewards. Thank you for your understanding and cooperation!

Subscription Package Campaign Rules

Campaign Update Notice

Due to business adjustments, starting today, the “Flagship Model Special Subscription Package” and the “Lightweight All-in-One Subscription Package” will be officially merged into the “Special Resource Package,” with unified pricing adjustments. If you have previously purchased the above subscription products, your existing benefits will be fully retained and will not be affected. Please feel free to continue using them. If you have any questions about this adjustment, please feel free to contact customer service at any time.

Unified Token Description

订阅包内的 token 为 融合 token ,可用于调用包内包含的任意模型,具体消耗比例以 API 调用时的实时计算为准。

  • Benchmark definition: The input token price of the claude-haiku-4-5-20251001 model is used as the benchmark price, i.e., $1/Mtoken (1 USD per million input tokens).
  • Conversion rule: When calling other models, the system will automatically convert and deduct unified tokens from the subscription package based on the ratio between that model’s listed price and the benchmark model price. For example, if a model’s input price is $3/Mtoken, the number of unified tokens consumed when calling that model will be 3 times that of the benchmark model.
  • 消耗计算 :一次 API 调用的 token 消耗为 输入 token 消耗 + Cached writes token 消耗 + Cached reads token 消耗+ 输出 token 消耗 ,均按各自模型的Deduction Multiplierfor conversion.

Example: In one inference request for claude-sonnet-4-6

  • Token consumption: input tokens: 11, Cached writess (5m) tokens: 4629, output tokens: 2456
  • Deduction multipliers: input: 3, Cached writess (5m): 6.25, output: 25
  • Unified tokens consumed = 11 × 3 + 4629 × 6.25 + 2456 × 25 ≈ 90,364

Models and Deduction Multipliers

Modeltier/tokeninput deduction coefficientcached writes (5m) deduction coefficientcached writes (1h) deduction coefficientcached reads deduction coefficientoutput deduction coefficient
claude-haiku-4-5-2025100111.2520.15
claude-haiku-4-5-20251001-r0.20.250.40.021
claude-opus-4-202505141518.75-1.575
claude-opus-4-5-2025110156.25100.525
claude-opus-4-61 - 200,00056.25100.525
200,000 - 1,000,00056.25100.525
claude-opus-4-6-r11.2520.15
claude-opus-4-756.25100.525
claude-opus-4-7-r11.2520.15
claude-opus-4-856.25100.525
claude-opus-4-8-r11.2520.15
claude-sonnet-4-2025051433.75-0.315
claude-sonnet-4-5-202509291 - 200,00033.7560.315
200,000 - 1,000,00067.5120.622.5
claude-sonnet-4-61 - 200,00033.7560.315
200,000 - 1,000,00033.7560.315
claude-sonnet-4-6-r0.60.751.20.063
gemini-2.0-flash-202506090.15---0.6
gemini-2.0-flash-lite0.075---0.3
gemini-2.5-flash0.30.08310.032.5
gemini-2.5-flash-lite0.1--0.0250.4
gemini-2.5-flash-lite-preview-06-170.1---0.4
gemini-2.5-flash-lite-preview-09-20250.1--0.010.4
gemini-2.5-flash-preview-05-200.15---3.5
gemini-2.5-pro1.25--0.312510
gemini-2.5-pro-preview-06-051.25---10
gemini-3-flash-preview0.5--0.053
gemini-3-pro-preview1 - 204,8002--0.212
204,800 - 1,048,5764--0.418
gemini-3.1-flash-lite-preview0.250.0833-0.0251.5
gemini-3.1-pro-preview1 - 204,80020.375-0.212
204,800 - 1,048,57640.375-0.418
gpt-4.12--0.58
gpt-4.1-mini0.4--0.11.6
gpt-4.1-nano0.1--0.0250.4
gpt-4o2.5--1.2510
gpt-4o-mini0.15--0.0750.6
gpt-51.25--0.12510
gpt-5-chat-latest1.25--0.12510
gpt-5-codex1.25--0.12510
gpt-5-mini0.25--0.0252
gpt-5-nano0.05--0.0050.4
gpt-5-pro15---120
gpt-5.11.25--0.12510
gpt-5.1-chat-latest1.25--0.12510
gpt-5.1-codex1.25--0.12510
gpt-5.1-codex-max1.25--0.12510
gpt-5.1-codex-mini0.25--0.0252
gpt-5.21.75--0.17514
gpt-5.2-chat-latest1.75--0.17514
gpt-5.2-codex1.75--0.17514
gpt-5.2-pro21---168
gpt-5.3-chat-latest1.75--0.17514
gpt-5.3-codex1.75--0.17514
gpt-5.41 - 272,0002.5--0.2515
272,000 - 1,050,0005--0.522.5
gpt-5.4-mini0.75--0.0754.5
gpt-5.4-nano0.2--0.021.25
gpt-5.4-pro1 - 272,00030---180
272,000 - 1,050,00060---270
gpt-5.51 - 272,0005--0.530
272,000 - 1,050,00010--145
gpt-5.5-r0.5--0.053
grok-4.20-0309-non-reasoning1 - 200,0002--0.26
200,000 - 2,000,0004--0.412
grok-4.20-0309-reasoning1 - 200,0002--0.26
200,000 - 2,000,0004--0.412
o115--7.560
o1-mini1.1--0.554.4
o310--0.540
o3-mini1.1--0.554.4

Final Interpretation Rights Notice

The specific reward amount, voucher rebate ratio, and other details of this campaign are subject to the final interpretation of Interface AI. If any abuse of vulnerabilities or violations (such as creating fake accounts) are discovered, Interface AI reserves the right to disqualify participants and recover rewards. Thank you for your understanding and cooperation!

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