AI Tools
DeepSeek
Hosted API and commercially usable open-weight language models.
What it is
DeepSeek provides hosted chat and API services and publishes model weights for selected releases. API prices are model- and version-specific, while self-hosting requirements depend heavily on model size and inference format. Published weights make self-hosting a genuine option, which changes the cost question entirely.
DeepSeek pricing
DeepSeek does not publish a plan ladder we could verify. Usage-based pricing.
Prices read from the vendor's own pricing page on 2026-08-24. Vendors change plans without notice — check the source before you budget.
Key features
Hosted model API
Provides documented chat-model endpoints with model-specific token pricing.
Open-weight releases
Publishes downloadable weights and inference instructions for selected models.
Prompt caching rates
Separates cache-hit and cache-miss input pricing in the current API table.
Commercial-use model terms
DeepSeek-V3 permits commercial use subject to its model license.
Strengths and trade-offs
What works well
- Published API rates: Current input, cached-input and output prices are listed per model.
- Downloadable weights: Selected model releases provide weights and local-inference guidance.
- Commercial use: The DeepSeek-V3 repository states that its Base and Chat models support commercial use.
Where it falls short
- Policy review required: Hosted use is governed by separate platform terms and privacy policy.
- Large self-hosting footprint: The V3 release documents 671B total parameters and FP8 weights.
- Version-sensitive costs: Model identifiers, capabilities and API rates can change.
- Implementation limits: Official V3 demo requirements do not support macOS or Windows.
Who it is for
Developers comparing a hosted DeepSeek API integration with the operational cost and policy control of self-hosting its released weights.
Pick it or skip it
Pick DeepSeek if
- Teams that have validated the current API model, rate and feature table
- Organizations able to review DeepSeek's platform terms and privacy policy
- Advanced infrastructure teams prepared for the hardware demands of large open-weight models
Skip it if
- Your data policy cannot accept the hosted service terms or processing path
- You need lightweight local inference from the full DeepSeek-V3 release
- Your application cannot tolerate model, feature or price changes without revalidation
Our verdict
Evaluate DeepSeek using the exact hosted model or self-hosted release you plan to run; price, infrastructure needs, licensing and data policy are separate decisions.
Frequently asked questions
- Does DeepSeek have a free plan?
- No free plan is listed on the vendor's pricing page. DeepSeek is sold on usage-based pricing.
- Who is DeepSeek best for?
- Developers comparing a hosted DeepSeek API integration with the operational cost and policy control of self-hosting its released weights.
- What are the main drawbacks of DeepSeek?
- The trade-offs we noted: Policy review required: Hosted use is governed by separate platform terms and privacy policy.; Large self-hosting footprint: The V3 release documents 671B total parameters and FP8 weights.; Version-sensitive costs: Model identifiers, capabilities and API rates can change..
- When should you not use DeepSeek?
- Skip DeepSeek if: Your data policy cannot accept the hosted service terms or processing path; You need lightweight local inference from the full DeepSeek-V3 release; Your application cannot tolerate model, feature or price changes without revalidation.
What we checked
- Public APIOffers a documented API you can build against.Yes
- Mobile appHas a native app for iOS or Android, not just a mobile website.Yes
- Open source / self-hostableSource is open and the tool can be run on your own infrastructure.Yes
- SSO (SAML)Supports SAML single sign-on on at least one plan.No
“Not checked” means exactly that — we have not verified it, and we do not guess.
Evidence and freshness
Status: Official sources reviewedReviewed: 2026-08-24
- DeepSeek API Docs — Pricing ↗
Checked 2026-08-24 · Supports: current model identifiers, context and feature table, cached and uncached input pricing, output pricing
- DeepSeek — DeepSeek-V3 repository ↗
Checked 2026-08-24 · Supports: downloadable weights, parameter count, local inference guidance, commercial use, platform requirements
- DeepSeek — Open Platform Terms ↗
Checked 2026-08-24 · Supports: API service scope, developer obligations, privacy-policy applicability
Limit: Vendor documentation and terms were reviewed; ToolCompare did not independently benchmark model quality, API availability, latency or total self-hosting cost.
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