AI Model Release Tracker

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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.
236B12B
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.
128k128k
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.
—$0.0166Io Net
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$0.0216Io Net
—$4.40Io Net · fp16
Overview
CompanyDeepSeekMistral
Release dateSep 5 2024Jul 18 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

DeepSeek V2.5vsClaude Haiku 5.5Mistral NeMovsClaude Haiku 5.5DeepSeek V2.5vsGPT-6.1 SolMistral NeMovsGPT-6.1 SolDeepSeek V2.5vsGemini 4 ArgonMistral NeMovsGemini 4 ArgonDeepSeek V2.5vsMuse Spark OpenMistral NeMovsMuse Spark OpenDeepSeek V2.5vsGrok 4.7Mistral NeMovsGrok 4.7DeepSeek V2.5vsKimi K3Mistral NeMovsKimi K3

Frequently asked questions

DeepSeek V2.5 and Mistral NeMo don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral NeMo shipped 49 days before DeepSeek V2.5, so benchmark comparisons should account for the intervening progress.

DeepSeek V2.5 has 236B parameters, while Mistral NeMo has 12B. Context windows are 128k (DeepSeek V2.5) vs 128k (Mistral NeMo).

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