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.
7B—
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.
—$1.00
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.
—$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
—$300SpaceXSI list price
These models have no shared benchmark scores.
Overview
CompanyMistralSpaceXSI
Release dateJul 16 2024Aug 28 2025
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

Codestral Mamba 7B and Grok Code Fast 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Grok Code Fast 1 has a verified first-party API price: $1.00 per million input tokens and $2.00 per million output tokens. No pay-as-you-go API rate is tracked for Codestral Mamba 7B. Codestral Mamba 7B shipped 408 days before Grok Code Fast 1, so benchmark comparisons should account for the intervening progress.

Context windows are 256k (Codestral Mamba 7B) vs 256k (Grok Code Fast 1). Codestral Mamba 7B is open weight, while Grok Code Fast 1 is closed.

Direct benchmark comparisons are unavailable — Codestral Mamba 7B and Grok Code Fast 1 don't publish scores on any of the same benchmarks.