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/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.
128k2M
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.
$0.36DeepInfra—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.40DeepInfra—
$92.00DeepInfra · fp8—
Overview
CompanyQwenSpaceXSI
Release dateSep 19 2024Sep 19 2025
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

Qwen2.5 and Grok 4 Fast don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2.5 shipped 365 days before Grok 4 Fast, so benchmark comparisons should account for the intervening progress.

Context windows are 128k (Qwen2.5) vs 2M (Grok 4 Fast). Qwen2.5 is open weight, while Grok 4 Fast is closed.

Direct benchmark comparisons are unavailable — Qwen2.5 and Grok 4 Fast don't publish scores on any of the same benchmarks.