LLM Prices CN MCP Server - LLM API Pricing Dataset¶
Repo: szp2005/llm-prices-cn Pricing: Free, hosted Category: Finance / Cost Optimization
Overview¶
LLM Prices CN is a daily-verified dataset of LLM API pricing covering 44+ models across Chinese and global providers. It includes a hosted MCP server for live price queries and token cost estimation - critical for business operators managing AI agent infrastructure costs.
Why Business Operators Need This¶
- Cost Visibility - With 44+ LLM models available, pricing changes frequently. LLM Prices CN verifies prices daily so your cost estimates are always current.
- Provider Comparison - Compare input/output token pricing across OpenAI, Anthropic, DeepSeek, Moonshot, Zhipu, Qwen, and more in one query.
- Budget Planning - Estimate monthly LLM costs based on expected token volume before committing to a provider.
- China + Global Coverage - Unique coverage of Chinese LLM providers (DeepSeek, Moonshot, Zhipu, Qwen) alongside global providers - essential for operators with multi-market needs.
Installation¶
Hosted (Remote)¶
The server is hosted and requires no local installation:
{
"mcpServers": {
"llm-prices": {
"url": "https://llm-prices-cn.example.com/mcp",
"transport": "streamable-http"
}
}
}
Local¶
{
"mcpServers": {
"llm-prices": {
"command": "python",
"args": ["-m", "llm_prices_cn"]
}
}
}
Key Tools¶
| Tool | Function |
|---|---|
get_all_prices |
Retrieve current pricing for all 44+ tracked models |
get_model_price |
Get pricing for a specific model (e.g., gpt-4o, claude-sonnet-4) |
estimate_cost |
Calculate estimated cost for given token volumes |
compare_providers |
Side-by-side pricing comparison for equivalent capability tiers |
price_history |
Track pricing changes over time for a model |
get_lowest_cost |
Find the cheapest model meeting your capability requirements |
Covered Providers & Models (44+)¶
| Provider | Models Tracked | Region |
|---|---|---|
| OpenAI | GPT-4o, GPT-4o-mini, o3, o4-mini | Global |
| Anthropic | Claude Opus 4, Sonnet 4, Haiku 3.5 | Global |
| DeepSeek | V3, R1, V4-Pro | CN/Global |
| Moonshot | Kimi series | CN |
| Zhipu AI | GLM-4 series | CN |
| Qwen | Qwen-Max, Qwen-Plus | CN |
| Gemini 2.5 Pro, Flash | Global | |
| xAI | Grok 3 | Global |
| SiliconFlow | Various open-source | CN |
| Groq | Llama, Mixtral | Global |
| Together AI | Various | Global |
Pricing verified daily. Last verification date included in every response.
Common Queries¶
Cost Estimation¶
"Estimate my monthly LLM costs: 500K input tokens/day, 100K output tokens/day. Compare GPT-4o vs Claude Sonnet 4."
"What's the cheapest model that can handle 128K context for my document processing pipeline?"
"If I switch from Claude Opus 4 to DeepSeek V4-Pro, how much will I save monthly?"
Provider Comparison¶
"Compare input/output pricing for all Chinese LLM providers. I need 1M tokens/day."
"Show me the pricing history for GPT-4o over the last 3 months - has it changed?"
"Which provider has the best price/performance ratio for coding tasks?"
Budget Planning¶
"I have a $500/month LLM budget. How many tokens can I process with each provider?"
"Alert me if any provider changes prices by more than 5%."
"What's the total cost difference between using OpenAI exclusively vs a multi-provider setup?"
Best Practices¶
- Check prices weekly - LLM pricing changes frequently, especially among Chinese providers competing aggressively
- Use estimate_cost before large jobs - A 10M token batch job can cost $0.50 or $15.00 depending on the model
- Compare tiers fairly - Match capability tiers (e.g., GPT-4o vs Claude Sonnet 4, not GPT-4o vs Haiku)
- Factor in quality - Lowest cost isn't always best. Cross-reference with your quality requirements
- Monitor price_history - Track trends to spot providers getting cheaper (or more expensive) over time
Limitations¶
- New server (July 2026) - data freshness guarantees still being established
- China-focused dataset - some global providers may have less frequent updates
- Token cost estimation assumes standard tokenization - actual costs vary with prompt structure
- Hosted endpoint URL may change - verify the current endpoint on the GitHub repo
For Operators: Integration with CorpusIQ¶
- CorpusIQ QuickBooks connector + LLM Prices CN = Track actual LLM spend against estimated costs
- CorpusIQ Stripe connector + LLM Prices CN = Monitor API billing against provider pricing
- CorpusIQ cross-source analysis + LLM Prices CN = Build LLM cost dashboards with actual vs budget tracking
See Also¶
- Correctover MCP Guide - LLM API failover and cost validation
- Stripe MCP Guide
- QuickBooks MCP Guide
- External MCP Server Catalog
Discovered: July 23, 2026 · Source: awesome-mcp-servers PR #9542 · Category: Finance/Cost Optimization