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.
8B0.6B/1.7B/4B/8B/14B/30B/32B/235B
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.
—$0.08DeepInfra
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$0.22NextBit
—$30.00DeepInfra · fp8
These models have no shared benchmark scores.
Overview
CompanyNVIDIAQwen
Release dateOct 23 2026Apr 29 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

Nemotron 3.5 Bolt E4B 4GB and Qwen3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen3 shipped 542 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.

Nemotron 3.5 Bolt E4B 4GB has 8B parameters, while Qwen3 has 0.6B/1.7B/4B/8B/14B/30B/32B/235B.

Direct benchmark comparisons are unavailable — Nemotron 3.5 Bolt E4B 4GB and Qwen3 don't publish scores on any of the same benchmarks.