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.
1.8B/3.25B397B
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.
32k1M
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.
—$0.40
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.
—$2.40
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.
—$0.26Alibaba
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$1.56Alibaba
—$130Alibaba
Overview
CompanyGoogleQwen
Release dateDec 6 2023Feb 16 2026
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

Gemini 1.0 Nano and Qwen3.5-Plus don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Qwen3.5-Plus has a verified first-party API price: $0.40 per million input tokens and $2.40 per million output tokens. No pay-as-you-go API rate is tracked for Gemini 1.0 Nano. Gemini 1.0 Nano shipped 803 days before Qwen3.5-Plus, so benchmark comparisons should account for the intervening progress.

Gemini 1.0 Nano has 1.8B/3.25B parameters, while Qwen3.5-Plus has 397B. Context windows are 32k (Gemini 1.0 Nano) vs 1M (Qwen3.5-Plus).

Direct benchmark comparisons are unavailable — Gemini 1.0 Nano and Qwen3.5-Plus don't publish scores on any of the same benchmarks.