DeepSeek
Cost LeaderDeepSeek V4 Pro — frontier-level coding at one-tenth the price.
DeepSeek has become the global leader in 'intelligence-per-parameter.' DeepSeek V4 Pro achieves an 80%+ score on SWE-bench Verified and 90% on HumanEval at a price point roughly one-tenth that of GPT-5.5. For developers building high-volume applications where cost is the primary constraint — code review bots, internal tooling, batch refactoring — DeepSeek has become the default open-weight choice.
Models
DeepSeek V4 Pro
Flagship80%+ SWE-bench Verified, 90% HumanEval
Context Window
128K
Max Output
16K tokens
Input Price
~1/10 of GPT-5.5
Input Types
Text, Code
Output Types
Text, Code, JSON
DeepSeek V4 Lite
Self-hostable, frontier-lite quality
Context Window
128K
Max Output
8K tokens
Input Price
Open weights
Input Types
Text, Code
Output Types
Text, Code
Use Cases
Internal Developer Tooling
Frontier-quality code suggestions inside private repos at a fraction of the API spend of GPT-5 / Claude.
Batch Refactor Pipelines
Run large-scale code transforms across thousands of files without burning a quarterly model budget.
Cost-Sensitive Agents
Default model for high-volume agents where the marginal cost per call dominates the unit economics.
Open-Weight Self-Hosting
Deploy DeepSeek inside your own VPC for data isolation while keeping near-frontier quality.
Why use DeepSeek on Nagent?
Nagent adds enterprise orchestration, observability, and workflow automation on top of DeepSeek's raw model capabilities.
~10x cost reduction vs. frontier closed models for code-heavy workloads
Open weights means you can also self-host alongside Mistral / Qwen on the same infra
First-class drop-in for Anthropic / OpenAI in our agent runtime — no prompt rewrites needed
KARMIC scoring lets you measure quality drop vs. closed models on your actual workload
How to access DeepSeek on Nagent
Open Agent Studio
Navigate to Agent Studio in your Nagent workspace.
Select DeepSeek
Choose DeepSeek V4 Pro for the cost/quality tier or Lite for self-host scenarios.
Cost Compare
Use Nagent's side-by-side cost dashboard to see live spend vs. GPT-5 / Claude on the same prompts.
Common questions about DeepSeek
Real buyer and developer questions, answered. Click any item to expand.
Is DeepSeek really 1/10th the cost of GPT-5.5?
Yes for input tokens at frontier-quality output. Verify on your actual workload using our side-by-side cost dashboard — the savings vary by prompt mix, but the order of magnitude is real.
What's the trade-off vs Claude Opus 4.7 on engineering tasks?
Opus still wins on long-horizon multi-file changes and complex architectural reasoning. DeepSeek wins on per-file changes, code review, routine refactors, and bug fixes — at a fraction of the per-call cost.
Should I worry about DeepSeek's training data provenance?
For most commercial agent work, no — same risk profile as other providers using web-scale training data. For high-IP-sensitivity use cases, talk to us about self-hosting the open weights inside your VPC.
Can I self-host DeepSeek alongside Mistral and Qwen?
Yes — they all run on standard inference stacks (vLLM, TGI, SGLang). Nagent's sovereign-deployment supports the full open-weight roster on a single Kubernetes cluster with shared GPU pools.
Ready to use DeepSeek inside your agents?
Get started in minutes — no API key management required.