Find the right DeepSeek model for your hardware and use case. Updated for V4 release (March 2026).
| Model | Params | Context | Multimodal | Cost |
|---|---|---|---|---|
| DeepSeek V4 | 1T (32B active) | 1M+ tokens | ✅ | $$$ |
| DeepSeek V4 Lite | 200B | 128K tokens | ✅ | $$ |
| DeepSeek V3 | 685B | 128K tokens | ❌ | $$ |
| DeepSeek Coder V2 | 236B | 128K tokens | ❌ | $ |
| DeepSeek V2.5 | 236B | 128K tokens | ❌ | $ |
Find the best DeepSeek model for your use case. Compare DeepSeek-V3, DeepSeek-Coder, and more by size, speed, and capability. Free — no signup. This page is built for people who want a fast path to a working result, not a vague prompt-and-pray workflow. If you need a more reliable first draft, cleaner output, or a repeatable workflow you can hand to a teammate, DeepSeek Selector is designed to shorten that path.
Most visitors use DeepSeek Selector because they need something specific done now: a deliverable, a decision, or a workflow checkpoint. The sections below show the fastest way to get value from the tool and the adjacent pages that help you keep going.
Find the right DeepSeek model for your needs:
For developers and researchers evaluating DeepSeek models.
Pick the right DeepSeek model size and variant for your specific use case.
Find which DeepSeek model fits your GPU/CPU hardware constraints.
Compare DeepSeek model variants for academic experiments.
Choose the most cost-effective DeepSeek model for production deployment.
A strong outcome from DeepSeek Selector is not just “some output.” It should be usable with minimal cleanup, aligned to the task you opened the page for, and specific enough that you can paste it into the next step of your workflow without rewriting everything from scratch.
If the first pass feels too generic, use the use cases, FAQs, and related pages here to tighten the scope. That usually produces better results faster than starting over in a blank chat.