DeepSeek AI Guide is an independent reference site for people working with DeepSeek’s open-weight models. We are not affiliated with DeepSeek, High-Flyer, or any of the platforms we cover. Everything published here is written for readers who need accurate, up-to-date information on DeepSeek-V4, the API, pricing, licensing, deployment, and the broader open-weight model ecosystem.
Who we are
DeepSeek AI Guide is run by a small editorial team with a mix of practitioner and writing experience. Our work concentrates on three things:
- Verified technical reference. Model IDs, pricing, context windows, licensing terms, and API behaviour — checked against DeepSeek’s official documentation, technical reports, and pricing page on the date of publication.
- Practical guides. Step-by-step articles for common tasks: running models locally, integrating the API, fine-tuning, building RAG pipelines, comparing DeepSeek against Claude, GPT-5, Gemini, and other models in the field.
- Independence. No affiliate links to model providers. No paid placements. No ghostwritten “review” content.
Why this site exists
DeepSeek releases moved fast through 2024 and 2025 — V2, V2.5, V3, R1, V3.1, V3.2 — and accelerated again with V4 Preview on April 24, 2026. Every release ships a technical report, a pricing change, or a new model ID, and a lot of the writing online has not kept up. We started DeepSeek AI Guide because readers asked for one source that:
- Names the current model IDs correctly and dates every quoted price.
- Distinguishes the web chat from the API instead of merging them.
- Cites the specific technical report, leaderboard, or provider page when it makes a benchmark claim.
- Will say “we don’t know” or “see the official pricing page” rather than invent a number.
How we work
Our process for every article is:
- Research. The writer reads DeepSeek’s announcement, technical report, and pricing page for the topic at hand, then web-searches for current third-party benchmarks or news where they apply.
- Draft against a baseline. Every article is written against an internal baseline-facts document — the canonical set of model IDs, prices, license terms, and API behaviours we will not contradict without a fresh, dated source.
- AI assistance, human responsibility. We use large language models — including DeepSeek and Anthropic’s Claude — to draft long-form material. A human editor reviews every published article for factual accuracy, tone, and consistency with the baseline. The byline rests with the editorial team; the writing tools are an instrument, not a co-author of record.
- Re-verify before publish. Pricing, model IDs, and benchmark numbers are re-checked against the source on the day the article goes live. Every article ends with a “Last verified” date, so you can judge how stale it is when you read it.
Our full editorial standards — including the banned-phrase list, AI-disclosure rules, and the conditions under which we will quote a benchmark — are published on our Editorial Guidelines page.
What we are not
- Not a DeepSeek property. We do not work for DeepSeek, do not get paid by DeepSeek, and do not have privileged access to DeepSeek’s roadmap. Everything on this site is sourced from public material.
- Not an authoritative legal or compliance source. We summarise regulatory developments where they’re relevant — Italy’s Garante action, U.S. state-level government-device restrictions — but we are not a substitute for legal counsel in your jurisdiction.
- Not a benchmark certifier. When we report SWE-Bench, Terminal-Bench, MMLU or similar numbers, we cite the original report. We do not run our own evaluations.
Corrections
If you spot a factual error — wrong price, wrong model ID, outdated benchmark, missing license caveat — write to [email protected] and tell us where the article is wrong and what the correct number is. We update the article in place, log the change in the editorial notes, and refresh the “Last verified” line.
For everything else — collaboration, feedback, story tips — see our Contact Us page.