Multi-Provider LLM Monitoring

One Dashboard for All Your LLM Costs

Track token usage and spend across OpenAI, Anthropic, Google, Meta, and 7 more providers. Real-time cost attribution, budget alerts, and AI-powered optimization for every model you use.

Why Multi-Provider Cost Monitoring Matters

Modern AI applications rarely use a single provider. Your codebase might call GPT-4o for complex reasoning, Claude 3.5 Haiku for fast classification, and Gemini 2.5 Flash for high-throughput extraction. Without a unified view, you're blind to where your money actually goes.

AI Cost Guard unifies every provider into a single real-time dashboard. Compare cost-per-task across models, discover that switching 30% of your GPT-4 calls to Gemini 2.5 Flash would save $2,400/month, and set cross-provider budget caps — all from one integration.

Supported Providers & Pricing Ranges

ProviderModels$/1M Tokens
OpenAIGPT-4, GPT-4o, GPT-4o-mini, GPT-4.1, o1, o3, o4-mini$0.10 – $60.00
AnthropicClaude 3 Opus, Claude Sonnet 4, Claude 3.5 Haiku$0.25 – $75.00
GoogleGemini 2.5 Pro, 2.5 Flash, 2.0 Flash, 1.5 Pro$0.075 – $10.00
MetaLlama 4 Maverick, Llama 4 Scout, Llama 3.3 70B, 3.1 405B$0.05 – $3.00
MistralMistral Large, Small, Codestral, Nemo$0.10 – $6.00
DeepSeekDeepSeek V3, R1$0.27 – $2.19
xAIGrok 3, Grok 3 Mini, Grok 2$0.30 – $15.00
CohereCommand R+, Command R$0.15 – $10.00
AmazonNova Pro, Nova Lite, Nova Micro$0.035 – $3.20
PerplexitySonar Pro, Sonar$1.00 – $15.00

Key Capabilities

Unified Cost Dashboard

All providers, all models, one view. Filter by provider, model, project, environment, or user. Drill from monthly totals to individual requests.

Cross-Provider Comparison

Run the same prompt through multiple models and compare cost, latency, and quality scores side-by-side. Find the cheapest model that meets your quality bar.

AI Cost Autopilot

Our recommendation engine analyzes your request patterns and suggests cheaper model alternatives with validated quality scores.

Token Leak Detection

Detects oversized prompts, system-prompt bloat, and unnecessary context that wastes tokens. Average savings: 25% on input costs.

Cost Simulation

Before migrating models or changing prompt templates, simulate the cost impact across your real request distribution.

Team & Project Attribution

Assign API keys to teams or features. See cost breakdowns per-team, per-sprint, per-deployment — useful for charge-back and budgeting.

Frequently Asked Questions

Which LLM providers does AI Cost Guard support?+

We support 11 providers: OpenAI, Anthropic, Google, Mistral, Meta (Llama), DeepSeek, xAI (Grok), Cohere, Amazon Bedrock, Perplexity, and any OpenAI-compatible endpoint.

Can I track costs for self-hosted or open-source models?+

Yes. For self-hosted models (e.g., Llama, Mistral on vLLM) you define a custom cost-per-token and AI Cost Guard tracks it the same way it tracks cloud APIs.

How does multi-provider monitoring work?+

Install one SDK, wrap each provider client with CostGuard. All costs flow into a single dashboard where you can compare, filter, and optimize across providers.

Is there a free tier?+

Yes. The Starter plan is free for up to 10,000 requests/month with 7-day data retention, real-time dashboards, and 2 budget alerts.

Related Resources

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