Compare AI models

Specifications
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one.
74B32B
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view.
—128k
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
CompanyNVIDIAQwen
Release dateOct 15 2026Nov 12 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

Nemotron 3.5 Bolt 74B 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 702 days before Nemotron 3.5 Bolt 74B, so benchmark comparisons should account for the intervening progress.

Nemotron 3.5 Bolt 74B has 74B parameters, while Qwen2.5-Coder has 32B.

Direct benchmark comparisons are unavailable — Nemotron 3.5 Bolt 74B and Qwen2.5-Coder don't publish scores on any of the same benchmarks.