DeepCost
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DeepCost

Optimize multi-model AI costs

Monitor and optimize costs across 200+ AI models through OpenRouter. Get intelligent model routing recommendations to reduce costs while maintaining quality.

Multi-Model Tracking

Monitor usage across 200+ AI models through OpenRouter's unified API

Cost Comparison

Compare costs across different models and providers in real-time

Model Optimization

Intelligent recommendations for model selection based on cost and performance

Simple integration

1

Connect OpenRouter Account

Securely connect your OpenRouter account using API key authentication

2

Enable Multi-Model Tracking

Configure monitoring across all available models and providers

3

Set Cost Thresholds

Configure alerts for model-specific and total spending limits

4

Get Smart Recommendations

Receive model routing recommendations based on cost and performance

OpenRouter Benefits

Model comparison

Compare costs and performance across all providers

Smart routing

Automatic routing to cost-effective models

Unified billing

Single dashboard for all AI spending

Model Categories We Optimize

Text Generation

40-70%

Optimize between GPT-4, Claude, Llama, and other text models based on task complexity

Code Generation

50-80%

Route coding tasks to the most cost-effective models like CodeLlama or DeepSeek

Image Generation

30-60%

Compare DALL-E, Midjourney, and Stable Diffusion costs for optimal image generation

Embeddings

60-85%

Use cost-effective embedding models for vector databases and semantic search

Vision Models

35-65%

Optimize image analysis between GPT-4V, Claude 3, and specialized vision models

Audio Processing

45-75%

Route speech and audio tasks to the most efficient models

SDK Integration

Monitor your OpenRouter usage with our SDK wrapper:

# Python SDK Integration
from deepcost import OpenRouterWrapper
import openai

# Wrap your OpenRouter client
client = OpenRouterWrapper(
    openrouter_api_key="your_openrouter_key",
    deepcost_api_key="your_deepcost_key"
)

# All API calls across models are tracked
response = client.chat.completions.create(
    model="anthropic/claude-3-sonnet",
    messages=[{"role": "user", "content": "Hello!"}]
)

Model Cost Comparison

Real-time cost comparison across popular models:

Text Generation

GPT-4$30/1M tokens
Claude 3 Sonnet$3/1M tokens
Llama 2 70B$0.8/1M tokens

Code Generation

GPT-4$30/1M tokens
CodeLlama 34B$0.8/1M tokens
DeepSeek Coder$0.14/1M tokens

Embeddings

OpenAI Ada v2$0.1/1M tokens
Voyage Large$0.12/1M tokens
BGE Large$0.03/1M tokens

Frequently Asked Questions

How long does OpenRouter integration take?

Integration is instant. Simply connect your OpenRouter API key to DeepCost and we'll immediately start tracking your API usage, model costs, and token consumption in real-time.

Is my OpenRouter API key secure?

Yes, your API key is encrypted at rest and in transit using AES-256 encryption. We never store or log your actual API requests or model outputs, only usage metadata and costs.

How does DeepCost ensure my data privacy?

DeepCost only tracks API usage metadata like token counts, model types, and costs. Your actual prompts and model responses never pass through our systems. All data is encrypted and SOC 2 compliant.

Can I track multiple API keys or projects?

Absolutely. You can connect multiple OpenRouter API keys for different projects or environments. DeepCost provides consolidated cost tracking with filtering by key, application, or team.

How much can I save on AI costs?

Most customers achieve 30-60% savings through intelligent model selection, prompt optimization, and usage pattern analysis. Results are typically visible within the first week of integration.

Ready to start saving on cloud costs?

Join thousands of companies that have reduced their cloud spending by up to 90% with DeepCost's AI-powered optimization platform.

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