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.
—0.5B/1.5B/3B/7B/14B/32B
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.
400k128k
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$0.66Cloudflare
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$10.00Azure$1.00Cloudflare
$750Azure$182Cloudflare
Overview
CompanyOpenAIQwen
Release dateNov 19 2025Nov 12 2024
AccessClosedOpen Weight
Model detailsView modelView model

Other comparisons

GPT-5.1-Codex-MaxvsClaude Haiku 5.5Qwen2.5-CodervsClaude Haiku 5.5GPT-5.1-Codex-MaxvsGemini 4 ArgonQwen2.5-CodervsGemini 4 ArgonGPT-5.1-Codex-MaxvsMuse Spark OpenQwen2.5-CodervsMuse Spark OpenGPT-5.1-Codex-MaxvsGrok 4.7Qwen2.5-CodervsGrok 4.7GPT-5.1-Codex-MaxvsDeepSeek-V4.1-Flash-1017Qwen2.5-CodervsDeepSeek-V4.1-Flash-1017GPT-5.1-Codex-MaxvsMistral Large 4Qwen2.5-CodervsMistral Large 4

Frequently asked questions

GPT-5.1-Codex-Max and Qwen2.5-Coder don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2.5-Coder shipped 372 days before GPT-5.1-Codex-Max, so benchmark comparisons should account for the intervening progress.

Context windows are 400k (GPT-5.1-Codex-Max) vs 128k (Qwen2.5-Coder). GPT-5.1-Codex-Max is closed, while Qwen2.5-Coder is open weight.

Direct benchmark comparisons are unavailable — GPT-5.1-Codex-Max and Qwen2.5-Coder don't publish scores on any of the same benchmarks.