DeepSeek
Open-weight AI models specializing in code generation, math, and complex reasoning at a fraction of closed-model API pricing.
Updated 2026-05-01
Yes, within limits. DeepSeek runs a free tier with paid plans above it.
Listed pricing: Free chat + API from $0.27/M input tokens.
Overview
DeepSeek has emerged as one of the most disruptive forces in AI, delivering open-weight models that rival or exceed closed competitors on coding, mathematics, and reasoning benchmarks — at a fraction of the cost. Their flagship DeepSeek-V3 model handles complex code generation, debugging, and multi-step reasoning with accuracy that puts it in the same tier as GPT-4 and Claude, while DeepSeek-R1 is a dedicated reasoning model that competes directly with OpenAI's o1 series.
What makes DeepSeek genuinely different is the economics. API pricing starts at roughly $0.27 per million input tokens for DeepSeek-V3 (with cache hits even cheaper), making it 10-20x less expensive than comparable closed models. For teams processing large codebases or running heavy reasoning workloads, the cost savings are dramatic. There's also a generous free tier with the web chat interface.
The open-weight approach means you can self-host these models on your own infrastructure — important for companies with strict data sovereignty requirements. The trade-off is that the platform ecosystem is leaner than OpenAI's or Anthropic's: no built-in IDE integrations, no agent frameworks, just raw model access via API or the web chat. You'll typically use DeepSeek through third-party tools like Cursor, Continue, or your own integrations.
Is DeepSeek free?
Yes, within limits. DeepSeek runs a free tier with paid plans above it.
What the free tier covers: Free web chat with daily usage limits; API includes initial free credit balance.
Listed pricing: Free chat + API from $0.27/M input tokens.
Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.
What the free tier leaves out
Read straight off the plan list below. Vendors move features between tiers, so check the current split before you pay.
- API — DeepSeek-V3 $0.27/M input, $1.10/M output Cache hits $0.07/M input. 128K context window
- API — DeepSeek-R1 $0.55/M input, $2.19/M output Reasoning model with chain-of-thought. 128K context
DeepSeek pricing
| Plan | Price | What's included |
|---|---|---|
| Free Chat | Free | Web chat with DeepSeek-V3 and R1, daily usage limits |
| API — DeepSeek-V3 | $0.27/M input, $1.10/M output | Cache hits $0.07/M input. 128K context window |
| API — DeepSeek-R1 | $0.55/M input, $2.19/M output | Reasoning model with chain-of-thought. 128K context |
Web chat with DeepSeek-V3 and R1, daily usage limits
Cache hits $0.07/M input. 128K context window
Reasoning model with chain-of-thought. 128K context
Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.
Is DeepSeek worth it?
Worth it for Developers and teams running heavy coding or reasoning workloads who want frontier-level model performance without frontier-level API bills.
You can test that on the free tier before paying anything. The recorded trade-offs are listed below, and any one of them can settle the question on its own.
The 8.9/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with DeepSeek. How we verify.
Worth it if
The strengths recorded against this entry.
- Frontier-level coding and reasoning at 10-20x lower cost than closed models
- Open weights allow self-hosting and fine-tuning for full data control
- DeepSeek-R1 reasoning model rivals OpenAI o1 on math and logic tasks
- 128K context window handles large codebases and lengthy documents
Not worth it if
Any one of these blocks your use case.
- No native IDE integration — relies on third-party tools like Cursor or Continue
- Web chat interface is basic compared to ChatGPT or Claude
- API service can experience slowdowns during peak demand
- Chinese company origin raises data sovereignty concerns for some enterprise users
What sets DeepSeek apart
- 10-20x cheaper API pricing than comparable closed models
- Open weights allow self-hosting and fine-tuning for data control
- Dedicated R1 reasoning model shows chain-of-thought, rivals OpenAI o1
- 128K context window handles large codebases
Key features
Code Gen
Excels at code generation across dozens of languages. DeepSeek-V3 and Coder models score at the top of HumanEval, MBPP, and LiveCodeBench leaderboards.
Reasoning
DeepSeek-R1 is a chain-of-thought reasoning model that shows its work, competing with OpenAI o1 on math, logic, and complex multi-step problems.
Open-weight
Models are released with open weights under permissive licenses, allowing self-hosting, fine-tuning, and full control over your inference pipeline.
How it compares
| Tool | Best for | Pricing | Score |
|---|---|---|---|
| DeepSeek | Developers and teams running heavy coding or reasoning workloads who want frontier-level model performance without frontier-level API bills. | Free chat + API from $0.27/M input tokens | 8.9/10 |
| Cursor vs Cursor → | Professional developers handling complex, multi-file refactors who want AI built into a familiar VS Code-based editor. | Free Hobby + Individual $20/mo + Teams $40/user/mo + Enterprise Custom | 9.5/10 |
| GPT-5.5 vs GPT-5.5 → | Developers and teams needing a frontier reasoning model for agentic coding workflows and large-codebase context handling. | API: $5/$30 per 1M tokens (in/out). ChatGPT Plus $20/mo, Pro $200/mo | 9.4/10 |
| Claude Code vs Claude Code → | Developers who want an agent that works inside an existing repo and toolchain rather than in a hosted editor, and who already pay for a Claude plan. | Included with Claude Pro $17/mo, Max 5x $100/mo, Max 20x $200/mo, Team and Enterprise plans | 9.3/10 |
Learn to use DeepSeek
Step-by-step, each one stamped with the date it was last checked against the docs.
Compare head-to-head
Related reading
DeepSeek Harness: Open Agent Runtime, How to Run It
DeepSeek open-sourced an MIT-licensed agent runtime on August 13. Plugin architecture, Trajectory replay, and the npx command to run it locally.
DeepSeek V4-Flash vs GPT-5.6 Sol: $0.14 Against $5
DeepSeek's V4-Flash beta lists $0.14 and $0.28 per million tokens against GPT-5.6 Sol's $5 and $30. The cache line and the agent wire format decide the bill.
DeepSeek V4 Flash 0731's Score of 50, Audited
Artificial Analysis scores DeepSeek V4 Flash 0731 at 50 on its Intelligence Index. What the number measures, what it leaves out, and what it costs per task.
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