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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.
7B—
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.
4k400k
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.
—$1.25Azure
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$10.00Azure
—$750Azure
Overview
CompanyDeepSeekOpenAI
Release dateFeb 5 2024Nov 19 2025
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

DeepSeek-MathvsClaude Haiku 5.5GPT-5.1-Codex-MaxvsClaude Haiku 5.5DeepSeek-MathvsGemini 4 ArgonGPT-5.1-Codex-MaxvsGemini 4 ArgonDeepSeek-MathvsMuse Spark OpenGPT-5.1-Codex-MaxvsMuse Spark OpenDeepSeek-MathvsGrok 4.7GPT-5.1-Codex-MaxvsGrok 4.7DeepSeek-MathvsMistral Large 4GPT-5.1-Codex-MaxvsMistral Large 4DeepSeek-MathvsKimi K3GPT-5.1-Codex-MaxvsKimi K3

Frequently asked questions

DeepSeek-Math and GPT-5.1-Codex-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-Math shipped 653 days before GPT-5.1-Codex-Max, so benchmark comparisons should account for the intervening progress.

Context windows are 4k (DeepSeek-Math) vs 400k (GPT-5.1-Codex-Max). DeepSeek-Math is open weight, while GPT-5.1-Codex-Max is closed.

Direct benchmark comparisons are unavailable — DeepSeek-Math and GPT-5.1-Codex-Max don't publish scores on any of the same benchmarks.