Use Inference Latency Calculator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Model the relationship between inference latency, token count, and system throughput.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Inference Latency Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Inference Latency Calculator.
01-04
4 capabilities in this set.
Part of 4 available through Inference Latency Calculator.
- 01
Calculate inference metrics
Determine predicted TTFT, TTLT, and total latency for a request configuration
- 02
Optimize output length
Find the maximum number of tokens that can be generated within a latency target
- 03
Simulate batching and queues
Predict how batching and request arrival patterns affect latency distributions
- 04
Validate sla compliance
Check if a configuration meets business requirements for speed and efficiency
Observed, not estimated
844ms average. Fast in production.
Inference Latency Calculator is checked daily against the live service.
- Fastest day
- 696ms
- Slowest day
- 973ms
- 14-day trend
- Stable-4%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Inference Latency Calculator, so you can see the experience inside your AI.
It does not authenticate your account with Inference Latency Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Inference Latency Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_5CWOuc4BCXfaA8LyFnbZ9i7aouvSsN4UnziC8onN/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Inference Latency Calculator capabilities are ready to use.
{
"mcpServers": {
"inference-latency-token-tradeoff-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_5CWOuc4BCXfaA8LyFnbZ9i7aouvSsN4UnziC8onN/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Inference Latency Calculator owners ask.
- 01
How do I calculate the maximum tokens I can generate within my SLA?
You can use the optimize_output_length capability. It calculates the remaining latency budget after the prefill phase and multiplies it by the generation speed to find the optimal token count.
- 02
What is the difference between TTFT and TTLT?
TTFT (Time to First Token) is the latency before the first token appears, driven by prefill speed. TTLT (Time to Last Token) is the total end-to-end duration including the generation phase.
- 03
Can I model the impact of multiple concurrent requests?
Yes, use the simulate_batching_and_queues capability to predict how batch size and request arrival patterns affect latency percentiles like p95 and p99.
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