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.
236B141B
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.
128k64k
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 · zdr
Overview
CompanyDeepSeekMistral
Release dateSep 5 2024Apr 10 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

DeepSeek V2.5vsClaude Haiku 5.5Mixtral 8×22BvsClaude Haiku 5.5DeepSeek V2.5vsGPT-6.1 SolMixtral 8×22BvsGPT-6.1 SolDeepSeek V2.5vsGemini 4 ArgonMixtral 8×22BvsGemini 4 ArgonDeepSeek V2.5vsMuse Spark OpenMixtral 8×22BvsMuse Spark OpenDeepSeek V2.5vsGrok 4.7Mixtral 8×22BvsGrok 4.7DeepSeek V2.5vsKimi K3Mixtral 8×22BvsKimi K3

Frequently asked questions

DeepSeek V2.5 and Mixtral 8×22B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×22B shipped 148 days before DeepSeek V2.5, so benchmark comparisons should account for the intervening progress.

DeepSeek V2.5 has 236B parameters, while Mixtral 8×22B has 141B. Context windows are 128k (DeepSeek V2.5) vs 64k (Mixtral 8×22B).

Direct benchmark comparisons are unavailable — DeepSeek V2.5 and Mixtral 8×22B don't publish scores on any of the same benchmarks.