Compare real monthly inference costs across OpenAI, Anthropic, Google Gemini, Meta Llama, and DeepSeek with prompt cache hit rates, batch API discounts, and dedicated H100/H200/B200 break-even math.
Place your AI gateway, observability tool, GPU cloud, or SOC2 automation platform at the top of any comparison benchmark page with a direct outbound CTA to engineering and FinOps buyers.
Every route calculates model-specific token rates, prompt cache discounts, and dedicated GPU break-even utilization. Click any benchmark to load its live parameters into the calculator.
| Benchmark Comparison Route | Benchmark Type | Workload Volume | Primary Monthly TCO | Comparison / Cluster TCO | Blended Rate / 1M | GPU Break-Even Util. | Action |
|---|---|---|---|---|---|---|---|
| OpenAI GPT-5 vs OpenAI GPT-5 Mini Token TCO & Batch Caching Calculator (2026) | LLM vs. LLM Cost | 257M in / 53M out | $1,334.72/mo | $456.35/mo | $2.94 / 1M | 20.9% | Open Model → |
| OpenAI GPT-5 vs Anthropic Claude 4.5 Sonnet Token TCO & Batch Caching Calculator (2026) | LLM vs. LLM Cost | 264M in / 56M out | $1,384.60/mo | $1,687.42/mo | $2.99 / 1M | 21.9% | Open Model → |
| Anthropic Claude 4.5 Sonnet vs DeepSeek V3 MoE Token TCO & Batch Caching Calculator (2026) | LLM vs. LLM Cost | 342M in / 82M out | $2,163.84/mo | $501.66/mo | $3.96 / 1M | 26.1% | Open Model → |