DeepSeek-V3.2 251201

DeepSeek-V3.2 sits alongside deepseek-v3.2, qwen3.5-27b, grok-4-0709 in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

DeepSeek-V3.2 is a reasoning model. Reasoning effort can be tuned per request. Lower effort settings cut reasoning tokens and cost for routine work; reserve higher settings for problems that need deeper search. Measure quality at two or three settings before fixing one in production.

Reasoning tokens are billed as output on DeepSeek-V3.2, at $0.4200 per 1,000,000 token. They are generated before the visible answer and count toward both latency and spend, so a higher reasoning setting costs more even when the final answer is short.

Before switching production traffic to DeepSeek-V3.2, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

DeepSeek-V3.2 is billed per use and the record publishes no free-tier allowance. The current published rates are input $0.2800 per 1M tokens and output $0.4200 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.