Compare AI models

Specifications
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality.
7B/13B/34B—
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider.
16k200k
API pricingUSD per 1M tokens · lower wins
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
—$20.00
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
—$80.00
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page.
—$20.00OpenAI
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$80.00OpenAI
—$8,000OpenAI list price
Overview
CompanyMetaOpenAI
Release dateAug 24 2023Jun 10 2025
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

Code Llama and o3-pro don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only o3-pro has a verified first-party API price: $20.00 per million input tokens and $80.00 per million output tokens. No pay-as-you-go API rate is tracked for Code Llama. Code Llama shipped 656 days before o3-pro, so benchmark comparisons should account for the intervening progress.

Context windows are 16k (Code Llama) vs 200k (o3-pro). Code Llama is open weight, while o3-pro is closed.

Direct benchmark comparisons are unavailable — Code Llama and o3-pro don't publish scores on any of the same benchmarks.