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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.
7B/13B/33B/65B>1T
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.
2k256k
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
Overview
CompanyMetaQwen
Release dateFeb 24 2023Sep 24 2025
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

LLaMA 1 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 LLaMA 1. LLaMA 1 shipped 943 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.

LLaMA 1 has 7B/13B/33B/65B parameters, while Qwen3-Max has >1T. Context windows are 2k (LLaMA 1) vs 256k (Qwen3-Max). LLaMA 1 is open weight, while Qwen3-Max is closed.

Direct benchmark comparisons are unavailable — LLaMA 1 and Qwen3-Max don't publish scores on any of the same benchmarks.