AINewsnow

DeepSeek V4 Pro API: what reasoning_effort and max_tokens actually do

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

DeepSeek V4 Pro is a reasoning model: before it answers, it spends tokens thinking, and you pay for those tokens. I wanted to know two things before putting it in production: how much the reasoning_effort setting changes that thinking, and whether max_tokens can be used as a cost cap. So I measured…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-27 02:20 · DEV Community — AI
    DeepSeek V4 Pro API: what reasoning_effort and max_tokens actually do

More stories

  1. [Release] ISTA GSQ-RCO GGUFs for DeepSeek-V4.1-Flash-1017 — r/LocalLLaMA
  2. Moonshot AI launches Kimi K3.1 Pro with better coding skills, reduced cyber risks — Mint AI
  3. DeepSeek Raised Billions. I’m Still Asking It to Answer in the Right Language. — DEV Community — AI
  4. AI news of the week — r/ArtificialInteligence
  5. Gemini 4 Argon and AI Pro subscription : Is it worth it ? — r/GeminiAI
  6. datapoint: 2x M5U cluster (GLM/Qwen) — r/LocalLLaMA
  7. Has anyone benchmarked 2× AMD R9700 + 128GB RAM with GLM-5.3-Flash or DeepSeek-V4.1-Flash? — r/LocalLLM
  8. Weapon or armour? The contentious debate over China’s open-weight AI — South China Morning Post Tech

Get the daily brief of stories like this at 6:30 every morning →