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.
>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.
256k256k
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$1.00
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$2.00
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again.
—$0.20
$540Qwen list price$300SpaceXSI list price
These models have no shared benchmark scores.
Overview
CompanyQwenSpaceXSI
Release dateSep 24 2025Aug 28 2025
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

Qwen3-Max and Grok Code Fast 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok Code Fast 1 is cheaper on both input and output: $1.00 vs $1.20 per million input tokens, and $2.00 vs $6.00 per million output tokens. Figures are base-tier rates. Grok Code Fast 1 shipped 27 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.

Context windows are 256k (Qwen3-Max) vs 256k (Grok Code Fast 1).

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