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.
236B24B
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.
128k32k
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.
—$0.05DeepInfra
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$0.08DeepInfra
—$14.00DeepInfra · fp8
Overview
CompanyDeepSeekMistral
Release dateSep 5 2024Jan 30 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

DeepSeek V2.5vsClaude Haiku 5.5Mistral Small 3vsClaude Haiku 5.5DeepSeek V2.5vsGPT-6.1 SolMistral Small 3vsGPT-6.1 SolDeepSeek V2.5vsGemini 4 ArgonMistral Small 3vsGemini 4 ArgonDeepSeek V2.5vsMuse Spark OpenMistral Small 3vsMuse Spark OpenDeepSeek V2.5vsGrok 4.7Mistral Small 3vsGrok 4.7DeepSeek V2.5vsKimi K3Mistral Small 3vsKimi K3

Frequently asked questions

DeepSeek V2.5 and Mistral Small 3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2.5 shipped 147 days before Mistral Small 3, so benchmark comparisons should account for the intervening progress.

DeepSeek V2.5 has 236B parameters, while Mistral Small 3 has 24B. Context windows are 128k (DeepSeek V2.5) vs 32k (Mistral Small 3).

Direct benchmark comparisons are unavailable — DeepSeek V2.5 and Mistral Small 3 don't publish scores on any of the same benchmarks.