Interactive TCO Workbench Model Cost Matrix GPU Break-Even 287 Benchmarks Sponsor a Benchmark ($99)
Benchmark Loaded benchmark scenario.
Swiss-precision FinOps modeling for AI infrastructure teams

The true monthly TCO of managed LLM APIs vs. dedicated GPU clusters.

Built for CTOs, AI infrastructure engineers, and FinOps leads. Model prompt caching, async batch routing, compliance overhead, and GPU break-even utilization across 7 frontier models and 287 published benchmarks. No sign-up, no fluff.

287
Published cost benchmarks
7
Frontier models priced
4
Dedicated GPU targets
<50ms
Live recalculation
Above the fold

Interactive FinOps TCO Workbench

Adjust token volumes, caching, and batch share. Every output recalculates live, including the recommendation on whether to stay on a managed API or migrate to a dedicated GPU cluster.

Workload Inputs
1M floor5,000M ceiling
1M floor1,000M ceiling
0%90% cap
0%100%
Live FinOps Outputs
Recommended routing
Stay on Managed API with Prompt Caching + Batch Routing
Optimized Monthly API TCO
$0
Blended Effective Rate
$0
Dedicated GPU Cluster TCO
$0
GPU Break-Even Utilization
0%
lower is better
Reference

Model Cost Matrix

Published list rates per 1M tokens and the blended effective rate for your current workload volumes. Updates with every slider move.

Frontier Model Input $/1M Output $/1M Blended $/1M Your Monthly API TCO
Infrastructure

GPU Break-Even

Monthly cluster cost, required node count for your current token throughput, and the utilization threshold where a dedicated cluster beats the managed API spend.

Directory

287 Programmatic Benchmarks

Every published comparison loads directly into the workbench above. Filter by category, search instantly, and open any benchmark route to pin its exact token volumes, model, GPU, and compliance tier.

Benchmark Category Input / Output Monthly TCO Blended $/1M Break-Even %
Monthly API TCO
$0
vs
GPU Cluster TCO
$0