AI Model Release Tracker

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.
16k400k
API pricingUSD per 1M tokens · lower wins
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.
—$1.25Azure
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$10.00Azure
—$750Azure
Overview
CompanyMetaOpenAI
Release dateAug 24 2023Nov 19 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

Code LlamavsClaude Haiku 5.5GPT-5.1-Codex-MaxvsClaude Haiku 5.5Code LlamavsGemini 4 ArgonGPT-5.1-Codex-MaxvsGemini 4 ArgonCode LlamavsGrok 4.7GPT-5.1-Codex-MaxvsGrok 4.7Code LlamavsDeepSeek-V4.1-Flash-1017GPT-5.1-Codex-MaxvsDeepSeek-V4.1-Flash-1017Code LlamavsMistral Large 4GPT-5.1-Codex-MaxvsMistral Large 4Code LlamavsKimi K3GPT-5.1-Codex-MaxvsKimi K3

Frequently asked questions

Code Llama and GPT-5.1-Codex-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama shipped 818 days before GPT-5.1-Codex-Max, so benchmark comparisons should account for the intervening progress.

Context windows are 16k (Code Llama) vs 400k (GPT-5.1-Codex-Max). Code Llama is open weight, while GPT-5.1-Codex-Max is closed.

Direct benchmark comparisons are unavailable — Code Llama and GPT-5.1-Codex-Max don't publish scores on any of the same benchmarks.