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Pricing

Model multipliers, cache hits, and first API-key purchase

Model Pricing

Billing is based on 100M tokens: 1x costs CNY 40, or CNY 0.40 per 1M tokens. Purchase and top-up packages share the same six self-service tiers; contact support for larger volume.

Get API accessTop up existing keyRead integration docs
Existing usersAlready have an API key? Top it up directlyRecharge, order lookup, and delivery checks all happen here. New packages go as low as CNY 33.33 / 100M tokens.Go to top-up
Billing

How Billing Works

We bill in 100M-token units. Multipliers simply map model cost differences, and one key works across all supported models.

Core conversionStart with the baseline price
100M tokensCNY 40

Baseline at 1x

1M tokensCNY 0.40

Converted at 1x

USD-equivalentCNY 0.20

NewAPI $2 / 1M maps to our 1x standard

1M tokens cost CNY 0.40 at the baseline. A NewAPI marketplace price of $2 / 1M maps to our 1x standard.

One API key works across all models. Multipliers keep model costs easy to compare, so you can choose by use case without changing keys.

BaselineMultiplier Quick Reference
Multiplier100M tokens1M tokens
0.5xCNY 20CNY 0.2
0.8xCNY 32CNY 0.32
1xCNY 40CNY 0.4
2xCNY 80CNY 0.8
2.5xCNY 100CNY 1
3xCNY 120CNY 1.2
4xCNY 160CNY 1.6
5xCNY 200CNY 2
6xCNY 240CNY 2.4
7.5xCNY 300CNY 3
8xCNY 320CNY 3.2
10xCNY 400CNY 4
15xCNY 600CNY 6
20xCNY 800CNY 8
25xCNY 1000CNY 10
37.5xCNY 1500CNY 15
Access URLPrefer the /v1 Base URL
Recommended Base URLhttps://api.llm-token.cn/v1

Use this first for most clients. If your client rejects it, switch to the fallback.

Fallback Base URLhttps://api.llm-token.cn

Different API routers validate Base URLs differently, so test the address when you switch models or clients.

Unified quotaOne key for all supported models
  • Multipliers only map model cost differences; billing stays consistent.
  • You do not need separate keys for separate models.
  • Quota does not expire or reset, which fits long-running testing and stable production usage.
Cache

Cache-Hit Billing

When part of a request matches previously processed content, the system can reuse that computation instead of charging the full input cost again.

What counts as a cache hitRepeated context can be reused

Cache reuse can improve response speed and reduce usage cost, especially in multi-turn chats, repeated workflow calls, and code-completion loops.

  • Normal input: billed at the model multiplier.
  • Repeated cached input: billed from 0.1x.
  • For high-cost models, cache multipliers may rise to 0.2x or be paused during extreme upstream volatility.
Simple example

If you repeatedly include a large shared context across a long conversation, the matched repeated portion can be charged at a lower multiplier.

Cache hits start at 0.1x

Matched cached input is billed at only 10% of the regular input cost.

Longer sessions can cost less

Follow-up chats, workflow calls, and code-completion loops are more likely to reuse repeated context.

Premium models may adjust

When upstream costs move sharply, cache multipliers may change and can be paused in extreme cases.

Note: cache hits depend on whether the request content qualifies for system cache reuse.

Reference

Model Price Reference

Compare multipliers, converted per-token cost, context size, and vision support before you buy.

claude-sonnet-4-6 concurrency route

claude-sonnet-4-6 is a concurrency-oriented route compatible with common client defaults, suitable for high-concurrency workflows, Python scripts, and text processing.

Premium model note

Premium model cost and availability may move with upstream supply. Use the live multiplier shown here and your actual call results as the final reference.

Python concurrency limit

Python-script concurrency is only allowed on claude-sonnet-4-6. Other models should not be used for high-concurrency scripts.

Updated from the latest model listCurrent converted prices and multipliers

A practical reference for understanding model cost before purchase.

Assumes max_tokens=8192
1x = CNY 40 / 100M tokens0.8x from CNY 0.32 / 1M tokens25x premium routes = CNY 10 / 1M tokensUp to 1M context
ProviderModelMultiplierExample: 2x means 100M tokens deducts 200M quota1M tokensConverted priceRecommended context windowAssumes max_tokens=8192Vision support
Guishu optimised(High concurrency)
claude-sonnet-4-6
0.8xCNY 0.32 / 1M tokens1M✅
OpenAI
gpt-5.6-sol
6xCNY 2.40 / 1M tokens1M✅
OpenAI
gpt-5.6-terra
3xCNY 1.20 / 1M tokens1M✅
xAI / Grok
grok-4.6
5xCNY 2.00 / 1M tokens500K✅
xAI / Grok
grok-4.7
6xCNY 2.40 / 1M tokens500K✅
xAI / Grok
grok-4.5
5xCNY 2.00 / 1M tokens500K✅
Anthropic
claude-haiku-4-5-20251001
1xCNY 0.40 / 1M tokens256K✅
Anthropic
claude-sonnet-5
10xCNY 4.00 / 1M tokens1M✅
Anthropic
claude-opus-4-6
15xCNY 6.00 / 1M tokens1M✅
Anthropic
claude-opus-4-7
15xCNY 6.00 / 1M tokens1M✅
Anthropic
claude-opus-4-8
15xCNY 6.00 / 1M tokens1M✅
Anthropic
claude-opus-5
15xCNY 6.00 / 1M tokens1M✅
Anthropic
claude-opus-5.5
15xCNY 6.00 / 1M tokens1M✅
Alibaba Cloud / Qwen
qwen3.7-plus
4xCNY 1.60 / 1M tokens1M✅
Alibaba Cloud / Qwen
qwen3.7-max
10xCNY 4.00 / 1M tokens1M
Alibaba Cloud / Qwen
qwen3.8-max
20xCNY 8.00 / 1M tokens1M✅
MiniMax
MiniMax-M3
1xCNY 0.40 / 1M tokens1M✅
ByteDance / Doubao
doubao-seed-2.1-turbo
3xCNY 1.20 / 1M tokens128K✅
Xiaomi / MiMo
mimo-v2.6-pro
4xCNY 1.60 / 1M tokens1M✅
Xiaomi / MiMo
mimo-v2.6-flash
2xCNY 0.80 / 1M tokens1M✅
DeepSeek
deepseek-v4-pro
7.5xCNY 3.00 / 1M tokens1M
DeepSeek
deepseek-v4-flash
2.5xCNY 1.00 / 1M tokens1M✅
Moonshot AI / Kimi
kimi-k3
25xCNY 10.00 / 1M tokens1M✅
Moonshot AI / Kimi
kimi-k2.7
6xCNY 2.40 / 1M tokens256K✅
Zhipu AI / Z.ai
glm-5.2
8xCNY 3.20 / 1M tokens1M✅
Zhipu AI / Z.ai
glm-5.3
8xCNY 3.20 / 1M tokens1M✅
Zhipu AI / Z.ai
glm-5.3-flash
2xCNY 0.80 / 1M tokens1M✅
OpenAI
gpt-5.6-luna
1xCNY 0.40 / 1M tokens1M✅
OpenAI
gpt-6-astra
15xCNY 6.00 / 1M tokens1M✅
DeepSeek
deepseek-v4.1-flash
2.5xCNY 1.00 / 1M tokens1M✅
OpenAI
gpt-image-2.5-flare
Per imageCNY 0.1 / image图像生成
OpenAI
gpt-image-2.5-sunburst
Per imageCNY 0.1 / image图像生成
OpenAI
gpt-6-sol
3xCNY 1.20 / 1M tokens1M✅
OpenAI
gpt-6-luna
0.5xCNY 0.20 / 1M tokens1M✅
Anthropic
claude-opus-4-5-20251101
20xInput CNY 8 · Output CNY 40—
Anthropic
claude-opus-4-5-20251101-thinking
37.5xInput CNY 15 · Output CNY 75—
Anthropic
claude-opus-4-6-high
15xInput CNY 6 · Output CNY 301M✅
Anthropic
claude-opus-4-6-low
15xInput CNY 6 · Output CNY 301M✅
Anthropic
claude-opus-4-6-max
15xInput CNY 6 · Output CNY 301M✅
Anthropic
claude-opus-4-6-medium
15xInput CNY 6 · Output CNY 301M✅
Anthropic
claude-opus-4-6-thinking
15xInput CNY 6 · Output CNY 301M✅
Anthropic
claude-opus-4-7-high
37.5xInput CNY 15 · Output CNY 751M✅
Anthropic
claude-opus-4-7-low
37.5xInput CNY 15 · Output CNY 751M✅
Anthropic
claude-opus-4-7-max
15xInput CNY 6 · Output CNY 301M✅
Anthropic
claude-opus-4-7-medium
37.5xInput CNY 15 · Output CNY 751M✅
Anthropic
claude-opus-4-7-thinking
37.5xInput CNY 15 · Output CNY 751M✅
Anthropic
claude-opus-4-7-xhigh
37.5xInput CNY 15 · Output CNY 751M✅
Anthropic
claude-opus-5-high
20xInput CNY 8 · Output CNY 401M✅
Anthropic
claude-opus-5-low
20xInput CNY 8 · Output CNY 401M✅
Anthropic
claude-opus-5-max
20xInput CNY 8 · Output CNY 401M✅
Anthropic
claude-opus-5-medium
20xInput CNY 8 · Output CNY 401M✅
Anthropic
claude-opus-5-thinking
20xInput CNY 8 · Output CNY 401M✅
Anthropic
claude-opus-5-xhigh
20xInput CNY 8 · Output CNY 401M✅
字节跳动
doubao-seed-2.0-code
3xInput CNY 1.2 · Output CNY 6—
字节跳动
doubao-seed-2.0-lite
1xInput CNY 0.4 · Output CNY 2—
字节跳动
doubao-seed-2.0-pro
3xInput CNY 1.2 · Output CNY 6—
Google
gemini-3-flash
3xInput CNY 1.2 · Output CNY 6—
Google
gemini-3.1-pro
10xInput CNY 4 · Output CNY 20—
Google
gemini-3.5-flash
6xInput CNY 2.4 · Output CNY 12—
OpenAI
gpt-5.4-openai-compact
2.5xInput CNY 1 · Output CNY 6—
OpenAI
gpt-5.5-openai-compact
5xInput CNY 2 · Output CNY 10—
OpenAI
gpt-image-2.5
Per imageCNY 0.1 / image—
其他
jev-1.13.0
37.5xInput CNY 15 · Output CNY 15—
其他
jev-latest
37.5xInput CNY 15 · Output CNY 15—
其他
jev-preview
37.5xInput CNY 15 · Output CNY 15—
Moonshot
kimi-k2.6
2xInput CNY 0.8 · Output CNY 4—
其他
LongCat-2.5
1xInput CNY 0.4 · Output CNY 1.6—
其他
mimo-v2.6
37.5xInput CNY 15 · Output CNY 15—
其他
MiniMax-M2.7
0.5xInput CNY 0.2 · Output CNY 1—
其他
MiniMax-M2.7-highspeed
1xInput CNY 0.4 · Output CNY 2—
MiniMax
MiniMax-M3-highspeed
2xInput CNY 0.8 · Output CNY 41M✅
阿里巴巴
qwen3.8-flash
2xInput CNY 0.8 · Output CNY 4—
阿里巴巴
qwen3.8‑flash
37.5xInput CNY 15 · Output CNY 15—
字节跳动
火山-豆包/doubao-seed-2.0-code
37.5xInput CNY 15 · Output CNY 15—
字节跳动
火山-豆包/doubao-seed-2.1-turbo
37.5xInput CNY 15 · Output CNY 15—
Guishu optimisedContext 1M
(High concurrency)claude-sonnet-4-6
Multiplier0.8x
1M tokensCNY 0.32 / 1M tokens
Context1M
Vision✅
OpenAIContext 1M
gpt-5.6-sol
Multiplier6x
1M tokensCNY 2.40 / 1M tokens
Context1M
Vision✅
OpenAIContext 1M
gpt-5.6-terra
Multiplier3x
1M tokensCNY 1.20 / 1M tokens
Context1M
Vision✅
xAI / GrokContext 500K
grok-4.6
Multiplier5x
1M tokensCNY 2.00 / 1M tokens
Context500K
Vision✅
xAI / GrokContext 500K
grok-4.7
Multiplier6x
1M tokensCNY 2.40 / 1M tokens
Context500K
Vision✅
xAI / GrokContext 500K
grok-4.5
Multiplier5x
1M tokensCNY 2.00 / 1M tokens
Context500K
Vision✅
AnthropicContext 256K
claude-haiku-4-5-20251001
Multiplier1x
1M tokensCNY 0.40 / 1M tokens
Context256K
Vision✅
AnthropicContext 1M
claude-sonnet-5
Multiplier10x
1M tokensCNY 4.00 / 1M tokens
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-6
Multiplier15x
1M tokensCNY 6.00 / 1M tokens
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-7
Multiplier15x
1M tokensCNY 6.00 / 1M tokens
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-8
Multiplier15x
1M tokensCNY 6.00 / 1M tokens
Context1M
Vision✅
AnthropicContext 1M
claude-opus-5
Multiplier15x
1M tokensCNY 6.00 / 1M tokens
Context1M
Vision✅
AnthropicContext 1M
claude-opus-5.5
Multiplier15x
1M tokensCNY 6.00 / 1M tokens
Context1M
Vision✅
Alibaba Cloud / QwenContext 1M
qwen3.7-plus
Multiplier4x
1M tokensCNY 1.60 / 1M tokens
Context1M
Vision✅
Alibaba Cloud / QwenContext 1M
qwen3.7-max
Multiplier10x
1M tokensCNY 4.00 / 1M tokens
Context1M
Alibaba Cloud / QwenContext 1M
qwen3.8-max
Multiplier20x
1M tokensCNY 8.00 / 1M tokens
Context1M
Vision✅
MiniMaxContext 1M
MiniMax-M3
Multiplier1x
1M tokensCNY 0.40 / 1M tokens
Context1M
Vision✅
ByteDance / DoubaoContext 128K
doubao-seed-2.1-turbo
Multiplier3x
1M tokensCNY 1.20 / 1M tokens
Context128K
Vision✅
Xiaomi / MiMoContext 1M
mimo-v2.6-pro
Multiplier4x
1M tokensCNY 1.60 / 1M tokens
Context1M
Vision✅
Xiaomi / MiMoContext 1M
mimo-v2.6-flash
Multiplier2x
1M tokensCNY 0.80 / 1M tokens
Context1M
Vision✅
DeepSeekContext 1M
deepseek-v4-pro
Multiplier7.5x
1M tokensCNY 3.00 / 1M tokens
Context1M
DeepSeekContext 1M
deepseek-v4-flash
Multiplier2.5x
1M tokensCNY 1.00 / 1M tokens
Context1M
Vision✅
Moonshot AI / KimiContext 1M
kimi-k3
Multiplier25x
1M tokensCNY 10.00 / 1M tokens
Context1M
Vision✅
Moonshot AI / KimiContext 256K
kimi-k2.7
Multiplier6x
1M tokensCNY 2.40 / 1M tokens
Context256K
Vision✅
Zhipu AI / Z.aiContext 1M
glm-5.2
Multiplier8x
1M tokensCNY 3.20 / 1M tokens
Context1M
Vision✅
Zhipu AI / Z.aiContext 1M
glm-5.3
Multiplier8x
1M tokensCNY 3.20 / 1M tokens
Context1M
Vision✅
Zhipu AI / Z.aiContext 1M
glm-5.3-flash
Multiplier2x
1M tokensCNY 0.80 / 1M tokens
Context1M
Vision✅
OpenAIContext 1M
gpt-5.6-luna
Multiplier1x
1M tokensCNY 0.40 / 1M tokens
Context1M
Vision✅
OpenAIContext 1M
gpt-6-astra
Multiplier15x
1M tokensCNY 6.00 / 1M tokens
Context1M
Vision✅
DeepSeekContext 1M
deepseek-v4.1-flash
Multiplier2.5x
1M tokensCNY 1.00 / 1M tokens
Context1M
Vision✅
OpenAIContext 图像生成
gpt-image-2.5-flare
MultiplierPer image
1M tokensCNY 0.1 / image
Context图像生成
OpenAIContext 图像生成
gpt-image-2.5-sunburst
MultiplierPer image
1M tokensCNY 0.1 / image
Context图像生成
OpenAIContext 1M
gpt-6-sol
Multiplier3x
1M tokensCNY 1.20 / 1M tokens
Context1M
Vision✅
OpenAIContext 1M
gpt-6-luna
Multiplier0.5x
1M tokensCNY 0.20 / 1M tokens
Context1M
Vision✅
AnthropicContext —
claude-opus-4-5-20251101
Multiplier20x
1M tokensInput CNY 8 · Output CNY 40
Context—
AnthropicContext —
claude-opus-4-5-20251101-thinking
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 75
Context—
AnthropicContext 1M
claude-opus-4-6-high
Multiplier15x
1M tokensInput CNY 6 · Output CNY 30
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-6-low
Multiplier15x
1M tokensInput CNY 6 · Output CNY 30
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-6-max
Multiplier15x
1M tokensInput CNY 6 · Output CNY 30
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-6-medium
Multiplier15x
1M tokensInput CNY 6 · Output CNY 30
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-6-thinking
Multiplier15x
1M tokensInput CNY 6 · Output CNY 30
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-7-high
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 75
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-7-low
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 75
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-7-max
Multiplier15x
1M tokensInput CNY 6 · Output CNY 30
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-7-medium
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 75
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-7-thinking
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 75
Context1M
Vision✅
AnthropicContext 1M
claude-opus-4-7-xhigh
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 75
Context1M
Vision✅
AnthropicContext 1M
claude-opus-5-high
Multiplier20x
1M tokensInput CNY 8 · Output CNY 40
Context1M
Vision✅
AnthropicContext 1M
claude-opus-5-low
Multiplier20x
1M tokensInput CNY 8 · Output CNY 40
Context1M
Vision✅
AnthropicContext 1M
claude-opus-5-max
Multiplier20x
1M tokensInput CNY 8 · Output CNY 40
Context1M
Vision✅
AnthropicContext 1M
claude-opus-5-medium
Multiplier20x
1M tokensInput CNY 8 · Output CNY 40
Context1M
Vision✅
AnthropicContext 1M
claude-opus-5-thinking
Multiplier20x
1M tokensInput CNY 8 · Output CNY 40
Context1M
Vision✅
AnthropicContext 1M
claude-opus-5-xhigh
Multiplier20x
1M tokensInput CNY 8 · Output CNY 40
Context1M
Vision✅
字节跳动Context —
doubao-seed-2.0-code
Multiplier3x
1M tokensInput CNY 1.2 · Output CNY 6
Context—
字节跳动Context —
doubao-seed-2.0-lite
Multiplier1x
1M tokensInput CNY 0.4 · Output CNY 2
Context—
字节跳动Context —
doubao-seed-2.0-pro
Multiplier3x
1M tokensInput CNY 1.2 · Output CNY 6
Context—
GoogleContext —
gemini-3-flash
Multiplier3x
1M tokensInput CNY 1.2 · Output CNY 6
Context—
GoogleContext —
gemini-3.1-pro
Multiplier10x
1M tokensInput CNY 4 · Output CNY 20
Context—
GoogleContext —
gemini-3.5-flash
Multiplier6x
1M tokensInput CNY 2.4 · Output CNY 12
Context—
OpenAIContext —
gpt-5.4-openai-compact
Multiplier2.5x
1M tokensInput CNY 1 · Output CNY 6
Context—
OpenAIContext —
gpt-5.5-openai-compact
Multiplier5x
1M tokensInput CNY 2 · Output CNY 10
Context—
OpenAIContext —
gpt-image-2.5
MultiplierPer image
1M tokensCNY 0.1 / image
Context—
其他Context —
jev-1.13.0
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 15
Context—
其他Context —
jev-latest
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 15
Context—
其他Context —
jev-preview
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 15
Context—
MoonshotContext —
kimi-k2.6
Multiplier2x
1M tokensInput CNY 0.8 · Output CNY 4
Context—
其他Context —
LongCat-2.5
Multiplier1x
1M tokensInput CNY 0.4 · Output CNY 1.6
Context—
其他Context —
mimo-v2.6
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 15
Context—
其他Context —
MiniMax-M2.7
Multiplier0.5x
1M tokensInput CNY 0.2 · Output CNY 1
Context—
其他Context —
MiniMax-M2.7-highspeed
Multiplier1x
1M tokensInput CNY 0.4 · Output CNY 2
Context—
MiniMaxContext 1M
MiniMax-M3-highspeed
Multiplier2x
1M tokensInput CNY 0.8 · Output CNY 4
Context1M
Vision✅
阿里巴巴Context —
qwen3.8-flash
Multiplier2x
1M tokensInput CNY 0.8 · Output CNY 4
Context—
阿里巴巴Context —
qwen3.8‑flash
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 15
Context—
字节跳动Context —
火山-豆包/doubao-seed-2.0-code
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 15
Context—
字节跳动Context —
火山-豆包/doubao-seed-2.1-turbo
Multiplier37.5x
1M tokensInput CNY 15 · Output CNY 15
Context—

Prices above are reference conversions based on current multipliers. Image models are billed per image or second. Actual usage follows the platform multiplier and request consumption; ✅ means vision is supported.

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This page explains multipliers, cache hits, and model cost. New users can buy an API key; existing users can top up an existing key.

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