Quanteta’s LLM API Price Index aggregates official list prices for 315 models from 50 providers, combines them with published capability scores, and documents a methodology based on OpenRouter and LiteLLM price data.
Quanteta has published an LLM API Price Index that compares official list prices for 315 models across 50 providers.
Quanteta says its current LLM API Price Index aggregates official list prices and model specifications, with data timestamped 2026-06-05T04:00:02Z. The index plots model pricing against published capability scores, giving developers and buyers a way to compare API costs alongside performance-oriented benchmarks.
According to Quanteta’s index page, the dataset covers 315 models from 50 providers. The public page is designed as a comparison table and chart for large language model API pricing, rather than a benchmark produced from Quanteta’s own model testing.
Quanteta Data Lab’s methodology page says the index uses official aggregated prices and specifications. It states that blended pricing is computed arithmetically, meaning the index combines input and output token prices into comparable figures rather than relying on a single advertised rate.
The methodology also says Quanteta sources pricing data from OpenRouter and LiteLLM. That distinction matters because LLM API prices can vary by provider, route, model version, and billing unit. Quanteta’s approach presents a normalized view based on the listed data sources, but it should still be read as a price index rather than a guarantee of the exact bill a user will receive in every deployment scenario.
OpenRouter’s public Models API supports part of Quanteta’s stated sourcing approach. OpenRouter’s API returns model metadata, including context length and pricing fields for prompt and completion tokens. Those fields correspond to the kinds of inputs needed to build a model-by-model pricing comparison.
LLM API buyers increasingly compare models not only by headline capability, but also by workload-specific cost. A model with a low input-token price may not be the cheapest option if output tokens dominate a use case. Conversely, models with higher listed prices may still be attractive where quality, latency, context window, or tool-use behavior reduces the number of calls required.
By plotting price against published capability scores, Quanteta’s index gives readers a starting point for evaluating trade-offs. The useful question is not simply which model is cheapest, but which model offers the right capability at an acceptable unit cost for a given application.
Quanteta’s methodology indicates that the index is based on aggregated official prices and specifications, not private negotiated enterprise rates. Organizations with committed-use discounts, custom contracts, or provider-specific routing may see different economics.
Readers should also check the timing of the data. The index page lists a 2026-06-05T04:00:02Z timestamp, and LLM API pricing changes frequently as providers release new models, alter token rates, or retire older endpoints.
The index is therefore best treated as a current public reference point. For procurement or production architecture decisions, teams should confirm the listed rates directly with the relevant provider or routing service and test total cost using their own traffic mix.
Quanteta has published an LLM API Price Index that compares official list prices for 315 models across 50 providers.
What the index tracks Quanteta says its current LLM API Price Index aggregates official list prices and model specifications, with data timestamped 2026 06 05T04:00:02Z.
The index plots model pricing against published capability scores, giving developers and buyers a way to compare API costs alongside performance oriented benchmarks.
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