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.
671B7B
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.
128k8k
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.
$0.27SiliconFlow—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.41SiliconFlow—
$74.50SiliconFlow · fp8—
Overview
CompanyDeepSeekMistral
Release dateSep 29 2025Sep 27 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

DeepSeek V3.2 ExpvsClaude Haiku 5.5Mistral 7BvsClaude Haiku 5.5DeepSeek V3.2 ExpvsGPT-6.1 SolMistral 7BvsGPT-6.1 SolDeepSeek V3.2 ExpvsGemini 4 ArgonMistral 7BvsGemini 4 ArgonDeepSeek V3.2 ExpvsMuse Spark OpenMistral 7BvsMuse Spark OpenDeepSeek V3.2 ExpvsGrok 4.7Mistral 7BvsGrok 4.7DeepSeek V3.2 ExpvsKimi K3Mistral 7BvsKimi K3

Frequently asked questions

DeepSeek V3.2 Exp and Mistral 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral 7B shipped 733 days before DeepSeek V3.2 Exp, so benchmark comparisons should account for the intervening progress.

DeepSeek V3.2 Exp has 671B parameters, while Mistral 7B has 7B. Context windows are 128k (DeepSeek V3.2 Exp) vs 8k (Mistral 7B).

Direct benchmark comparisons are unavailable — DeepSeek V3.2 Exp and Mistral 7B don't publish scores on any of the same benchmarks.