Pricing

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

Model Pricing

Global purchase and top-up now use five fixed USD tiers: 10M, 50M, 100M, 300M, and 500M tokens. The 100M tier costs USD 22. The multiplier references below explain how different models consume the quota you buy.

Existing usersAlready have an API key? Top it up directlyTop-up, order lookup, and credit checks all happen here. The global site now uses five fixed USD tiers, and 100M tokens costs USD 22.Go to top-up
Billing

How Billing Works

On the global site, you first buy token quota through fixed USD tiers, then model multipliers determine how that quota is consumed. Read the purchase rule together with the multiplier table to estimate both spend and quota usage.

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

The fixed tiers are 10M / 50M / 100M / 300M / 500M, priced at USD 2.2 / 11 / 22 / 66 / 110.

One API key works across all supported models. The table below explains how models consume purchased quota; it is not the checkout price for global buy or top-up.

Access URLPrefer the /v1 Base URL
Recommended Base URLhttps://api.weeanno.example/v1

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

Fallback Base URLhttps://api.weeanno.example

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 tokens0.1x from CNY 0.04 / 1M tokens15x premium routes = CNY 6 / 1M tokensUp to 1M context
ProviderModelMultiplierExample: 2x means 100M tokens deducts 200M quota1M tokensConverted priceRecommended context windowAssumes max_tokens=8192Vision support
China aggregate route(High concurrency)
claude-sonnet-4-6Fast response
1xCNY 0.401M
MiniMax
MiniMax-M3
1xCNY 0.401M
MiniMax
image-01
per imageCNY 0.20
MiniMax
image-01-live
per secondCNY 2.00
StepFun
step-3.7-flashFast response
1xCNY 0.40256k
ByteDance
doubao-seed-2.0-code
2xCNY 0.80200k
ByteDance
doubao-seed-2.0-pro
2xCNY 0.80128k
美团 LongCat
LongCat-2.0Agentic Coding
4xCNY 1.601M
Xiaomi
mimo-v2.5-pro
1xCNY 0.401M
Xiaomi
mimo-v2.5
0.5xCNY 0.201M
DeepSeek
deepseek-v4-pro
7.5xCNY 3.001M
DeepSeek
deepseek-v4-flash
2.5xCNY 1.001M
Kimi
kimi-k2.6
2xCNY 0.80256K
Kimi
kimi-k2.7
4xCNY 1.60256K
Zhipu AI
glm-5.1
5xCNY 2.00256K
Zhipu AI
glm-5.2
8xCNY 3.201M
OpenAI
gpt-5.4
2xCNY 0.801M
OpenAI
gpt-5.5
4xCNY 1.60256k
OpenAI
gpt-5.3-codex-spark
4xCNY 1.60128k
OpenAI
gpt-image-2
per imageCNY 0.05-0.104K image output
Anthropic
claude-haiku-4-5-20251001
1xCNY 0.40256K
Anthropic
claude-sonnet-5高能力主力
12xCNY 4.801M
Anthropic
claude-fable-5顶级任务
100x40 元1M
Anthropic
claude-opus-4-6
15xCNY 6.001M
Anthropic
claude-opus-4-7
15xCNY 6.001M
Anthropic
claude-opus-4-8
15xCNY 6.001M
Google
gemini-3.1-pro
10xCNY 4.001M
Google
gemini-3.5-flash
6xCNY 2.401M
China aggregate routeContext 1M
(High concurrency)claude-sonnet-4-6Fast response
Multiplier1x
1M tokensCNY 0.40
context window1M
Vision
MiniMaxContext 1M
MiniMax-M3
Multiplier1x
1M tokensCNY 0.40
context window1M
Vision
MiniMax
image-01
Multiplierper image
1M tokensCNY 0.20
MiniMax
image-01-live
Multiplierper second
1M tokensCNY 2.00
StepFunContext 256k
step-3.7-flashFast response
Multiplier1x
1M tokensCNY 0.40
context window256k
Vision
ByteDanceContext 200k
doubao-seed-2.0-code
Multiplier2x
1M tokensCNY 0.80
context window200k
Vision
ByteDanceContext 128k
doubao-seed-2.0-pro
Multiplier2x
1M tokensCNY 0.80
context window128k
Vision
美团 LongCatContext 1M
LongCat-2.0Agentic Coding
Multiplier4x
1M tokensCNY 1.60
context window1M
XiaomiContext 1M
mimo-v2.5-pro
Multiplier1x
1M tokensCNY 0.40
context window1M
Vision
XiaomiContext 1M
mimo-v2.5
Multiplier0.5x
1M tokensCNY 0.20
context window1M
Vision
DeepSeekContext 1M
deepseek-v4-pro
Multiplier7.5x
1M tokensCNY 3.00
context window1M
DeepSeekContext 1M
deepseek-v4-flash
Multiplier2.5x
1M tokensCNY 1.00
context window1M
KimiContext 256K
kimi-k2.6
Multiplier2x
1M tokensCNY 0.80
context window256K
Vision
KimiContext 256K
kimi-k2.7
Multiplier4x
1M tokensCNY 1.60
context window256K
Vision
Zhipu AIContext 256K
glm-5.1
Multiplier5x
1M tokensCNY 2.00
context window256K
Vision
Zhipu AIContext 1M
glm-5.2
Multiplier8x
1M tokensCNY 3.20
context window1M
Vision
OpenAIContext 1M
gpt-5.4
Multiplier2x
1M tokensCNY 0.80
context window1M
Vision
OpenAIContext 256k
gpt-5.5
Multiplier4x
1M tokensCNY 1.60
context window256k
Vision
OpenAIContext 128k
gpt-5.3-codex-spark
Multiplier4x
1M tokensCNY 1.60
context window128k
OpenAIContext 4K image output
gpt-image-2
Multiplierper image
1M tokensCNY 0.05-0.10
context window4K image output
AnthropicContext 256K
claude-haiku-4-5-20251001
Multiplier1x
1M tokensCNY 0.40
context window256K
Vision
AnthropicContext 1M
claude-sonnet-5高能力主力
Multiplier12x
1M tokensCNY 4.80
context window1M
Vision
AnthropicContext 1M
claude-fable-5顶级任务
Multiplier100x
1M tokens40 元
context window1M
Vision
AnthropicContext 1M
claude-opus-4-6
Multiplier15x
1M tokensCNY 6.00
context window1M
Vision
AnthropicContext 1M
claude-opus-4-7
Multiplier15x
1M tokensCNY 6.00
context window1M
Vision
AnthropicContext 1M
claude-opus-4-8
Multiplier15x
1M tokensCNY 6.00
context window1M
Vision
GoogleContext 1M
gemini-3.1-pro
Multiplier10x
1M tokensCNY 4.00
context window1M
Vision
GoogleContext 1M
gemini-3.5-flash
Multiplier6x
1M tokensCNY 2.40
context window1M
Vision

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.

Next

Ready to buy after checking the price table

This page explains the global purchase rule, cache hits, and model multipliers. New users can buy fixed USD tiers on the purchase page, and existing users can add quota on the top-up page.