MCP For Claude Marketplace
Speculative Decoding Speedup Calculator

Speculative Decoding Speedup Calculator MCP Connector for Claude

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Calculate efficiency gains and throughput improvements for speculative decoding strategies.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides a deterministic optimization engine to evaluate the performance of speculative decoding in LLM inference. It calculates critical metrics such as speedup ratio, effective throughput, and optimal draft length. Use calculate_speculative_metrics to evaluate efficiency, find_optimal_draft_length to maximize throughput, and calculate_economic_impact to translate performance gains into monetary savings.

speculative-decodingllminference-optimizationthroughputcost-analysis

3 tools expose this connector's capabilities to your AI agent.

calculate_economic_impact

Translates performance gains into monetary savings

calculate_speculative_metrics

Calculates primary performance indicators (speedup, throughput, and token distribution) based on a specific configuration

find_optimal_draft_length

Determines the most efficient speculative window size to maximize token throughput

See how to talk to your AI agent using Speculative Decoding Speedup Calculator.

Calculate the metrics for a draft model at 50 tokens/s, target at 10 tokens/s, with a 0.7 acceptance rate, draft length of 5, and 20ms overhead.

The speedup ratio is 3.5, with 3.5 accepted tokens and 1.5 rejected tokens per window. The effective throughput is 145.2 tokens per second.

What is the optimal draft length if my draft model is 100 tokens/s and target is 10 tokens/s with 0.6 acceptance rate and 5ms overhead?

The optimal draft length for these parameters is 8 tokens.

How much money do I save if I save 3600 seconds with a speedup and my cost is 0.01 per second?

The total cost savings is $36.00.

Speculative decoding is an acceleration technique where a small draft model predicts tokens that a larger target model verifies in parallel, increasing overall throughput.

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