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.
200k128k
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.
—$0.66Cloudflare
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$1.00Cloudflare
—$182Cloudflare
These models have no shared benchmark scores.
Overview
CompanyAnthropicQwen
Release dateMay 22 2025Nov 12 2024
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Claude Sonnet 4 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 191 days before Claude Sonnet 4, so benchmark comparisons should account for the intervening progress.

Context windows are 200k (Claude Sonnet 4) vs 128k (Qwen2.5-Coder). Claude Sonnet 4 is closed, while Qwen2.5-Coder is open weight.

Direct benchmark comparisons are unavailable — Claude Sonnet 4 and Qwen2.5-Coder don't publish scores on any of the same benchmarks.