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.
74B1T
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.
—256k
API pricingUSD per 1M tokens · lower wins · base tier
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
—$1.20
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
—$6.00
—$540Qwen list price
These models have no shared benchmark scores.
Overview
CompanyNVIDIAQwen
Release dateOct 15 2026Sep 24 2025
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

Nemotron 3.5 Bolt 74B and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Qwen3-Max has a verified first-party API price: $1.20 per million input tokens and $6.00 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3.5 Bolt 74B. Qwen3-Max shipped 386 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 Qwen3-Max has 1T. Nemotron 3.5 Bolt 74B is open weight, while Qwen3-Max is closed.

Direct benchmark comparisons are unavailable — Nemotron 3.5 Bolt 74B and Qwen3-Max don't publish scores on any of the same benchmarks.