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/7B/57B/72B
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—
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
CompanyOpenAIQwen
Release dateNov 19 2025Jun 6 2024
AccessClosedOpen Weight
Model detailsView modelView model

Other comparisons

GPT-5.1-Codex-MaxvsClaude Haiku 5.5Qwen2vsClaude Haiku 5.5GPT-5.1-Codex-MaxvsGemini 4 ArgonQwen2vsGemini 4 ArgonGPT-5.1-Codex-MaxvsMuse Spark OpenQwen2vsMuse Spark OpenGPT-5.1-Codex-MaxvsGrok 4.7Qwen2vsGrok 4.7GPT-5.1-Codex-MaxvsDeepSeek-V4.1-Flash-1017Qwen2vsDeepSeek-V4.1-Flash-1017GPT-5.1-Codex-MaxvsMistral Large 4Qwen2vsMistral Large 4

Frequently asked questions

GPT-5.1-Codex-Max and Qwen2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2 shipped 531 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). GPT-5.1-Codex-Max is closed, while Qwen2 is open weight.

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