AI Model Release Tracker

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.
1.3B/5.7B/6.7B/33B—
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.
16k32k
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.
—$2.00Mistral
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$6.00Mistral
—$700Mistral
Overview
CompanyDeepSeekMistral
Release dateNov 2 2023Feb 26 2024
AccessOpen WeightClosed
Model detailsView modelView model

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Frequently asked questions

DeepSeek Coder and Mistral Large don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder shipped 116 days before Mistral Large, so benchmark comparisons should account for the intervening progress.

Context windows are 16k (DeepSeek Coder) vs 32k (Mistral Large). DeepSeek Coder is open weight, while Mistral Large is closed.

Direct benchmark comparisons are unavailable — DeepSeek Coder and Mistral Large don't publish scores on any of the same benchmarks.