💰 Cost Intelligence
Real-time AI spend tracking across all providers, models, teams and features
Daily spend30 DAYS
Cost by model
Cost by team
Budget statusMTD
Active alerts3 NEW
Top expensive requestsTOP 10
| Time | Endpoint | Model | Tokens in | Tokens out | Cost | Latency | Team |
|---|
🔢 Token Analytics
Efficiency analysis — identify waste in system prompts, context windows and caching opportunities
Total tokensMTD
182M
− steady usage
Efficiency score
74/100
⇧ +6 pts this week
Cache hit rate
21%
Target: 40%+
Wasted tokens
38M
⇧ $1,240/mo excess
Token usage breakdown — daily
System prompt analysisACTION NEEDED
Token efficiency by endpoint
Optimization recommendationsSAVE $1,240/mo
⚖ Model Comparison
Live pricing across all 23 models — find the optimal model for your exact usage profile
Usage profile
Prompt tokens (per call)
Completion tokens (per call)
Requests per month
All models — sorted by monthly cost
| Model | Provider | Tier | Input $/M | Output $/M | Cache $/M | Per call | Monthly | vs cheapest | Context |
|---|
Cost scatter — quality vs price
Provider breakdown
⚡ Performance & Latency
p50/p95/p99 latency, TTFT, error rates and SLA compliance across all models
p50 latency
843ms
⇧ Improved 12%
p99 latency
4.2s
⇩ Watch p99 spike
Avg TTFT
218ms
⇧ Improved 8%
Error rate
0.4%
⇧ Below SLA 1%
Latency percentiles — daily
Latency by model
Error rate over timeSLA: <1%
TTFT distribution
SLA compliance by modelAll within SLA
| Model | p50 | p95 | p99 | Error% | Requests | SLA Status |
|---|
🎯 Quality & Evaluation
Prompt versioning, A/B testing, side-by-side output comparison and regression tracking
Avg quality score
8.4/10
⇧ +0.3 this week
Active A/B tests
3
▶ Running
Eval datasets
12
+2 this month
Regressions
1
⚠ Needs review
Active A/B experiments
| Experiment | Variant A | Variant B | Metric | Status | Winner |
|---|
Quality scores over time
Side-by-side output comparison
CURRENT: GPT-4o • $0.0085/call • Score: 8.2/10
The quarterly earnings report shows a strong performance across all business units, with revenue growing 23% year-over-year to $4.2B. Operating margins expanded 180bps driven by efficiency initiatives...
CANDIDATE: Gemini 1.5 Flash • $0.0006/call • Score: 8.0/10
Quarterly earnings demonstrate robust growth across all divisions, with 23% YoY revenue increase reaching $4.2B. Operating margin improvement of 180bps reflects successful efficiency programs...
💡 Gemini Flash achieves 97.5% of GPT-4o quality at 7% of the cost for this summarisation task. Estimated monthly saving: $680
Eval results — latest run12 datasets • 2h ago
| Dataset | Model | Accuracy | Coherence | Factuality | Avg score | vs baseline |
|---|
🧠 AI Intelligence Layer
The moat — auto model router, prompt optimizer agent, and intelligent cost autopilot
Router savings
$2,840
saved this month
Routes optimized
64%
of all requests
Prompt compress
28%
avg token reduction
Quality maintained
99.1%
vs baseline
🔃 Auto model routerACTIVE
The router automatically selects the cheapest model that meets your quality threshold per request type.
Router decisions — last 7 days
🤖 Prompt optimizer agentBETA
AI-powered prompt compression — maintains semantic meaning while reducing token count by 20-35%.
📄 Smart caching recommendations
📊 Enterprise Reporting
CFO-ready dashboards, departmental chargeback and automated executive summaries
Total AI spend YTD
$38.4K
Q1 2026
Budget remaining
$21.6K
of $60K annual
Cost per request
$0.048
⇧ 14% more efficient
Monthly spend — YTD
ROI metrics
Departmental chargeback report
| Department | MTD Spend | Requests | Top model | Cost/request | Efficiency | Budget % | YoY |
|---|
Scheduled reports
🔒 Security & Governance
API key management, audit logs, RBAC, data retention and compliance controls
Active API keys
7
3 teams
Audit events today
284
All normal
Compliance
100%
SOC2 compliant
API keys
| Key | Name | Org | Created | Last used | Status |
|---|
Role-based access control
| User | Role | Can view | Can export | Can configure |
|---|
Audit logLast 24h
| Time | User | Action | Resource | IP address | Status |
|---|
Data retention policy
Compliance status
🔧 Developer Experience
SDK setup, integration health, API explorer, webhook config and debug tools
SDK integrations
4
Python, TS, Go, Ruby
Webhook endpoints
3
All healthy
Failing webhooks
1
⚠ Needs fix
Quickstart — Python
# Install
pip install vantage-ai[openai]
# Usage — 2 line change
import vantage
from vantage.proxy.openai_proxy import OpenAI
vantage.init("vnt_acme_xxxxxxxxxxxx")
client = OpenAI(api_key="sk-...")
# Identical API — Vantage wraps transparently
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Hello"}]
)
# ✓ Cost: $0.000110 | Tokens: 12+8 | Latency: 423ms
Integration health
Webhook configuration
| Endpoint URL | Events | Last delivery | Status |
|---|
Live event streamLIVE