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.
671B—
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.
$0.25SiliconFlow—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$1.00SiliconFlow—
$100SiliconFlow · fp8—
Overview
CompanyDeepSeekQwen
Release dateMar 24 2025Jan 28 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

DeepSeek V3-0324vsClaude Haiku 5.5Qwen2.5-MaxvsClaude Haiku 5.5DeepSeek V3-0324vsGPT-6.1 SolQwen2.5-MaxvsGPT-6.1 SolDeepSeek V3-0324vsGemini 4 ArgonQwen2.5-MaxvsGemini 4 ArgonDeepSeek V3-0324vsMuse Spark OpenQwen2.5-MaxvsMuse Spark OpenDeepSeek V3-0324vsGrok 4.7Qwen2.5-MaxvsGrok 4.7DeepSeek V3-0324vsMistral Large 4Qwen2.5-MaxvsMistral Large 4

Frequently asked questions

DeepSeek V3-0324 and Qwen2.5-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2.5-Max shipped 55 days before DeepSeek V3-0324, so benchmark comparisons should account for the intervening progress.

Context windows are 128k (DeepSeek V3-0324) vs 32k (Qwen2.5-Max). DeepSeek V3-0324 is open weight, while Qwen2.5-Max is closed.

Direct benchmark comparisons are unavailable — DeepSeek V3-0324 and Qwen2.5-Max don't publish scores on any of the same benchmarks.