DeepSeek V3
A solid pick for self-hosting and full data control.
Overview
DeepSeek V3 is a revolution: 671B parameters in MoE, performance close to GPT-4o, but 30x lower price and MIT license (commercial use, self-hostable). Limits: French performance slightly behind, and for European enterprise, the official API is in China (prefer self-hosted deployment).
Skill profile
Three independent measures
What people prefer, what the model can do, what the market uses. Each source has its biases and none is enough on its own: we show them side by side, never blended.
What do these scores mean?
PhD-level science questions (physics, chemistry, biology), with no tool access.
Resolving real GitHub issues under real conditions (SWE-bench Verified).
Competition-level math problems.
General knowledge across dozens of academic subjects.
Python code generation from specifications.
Strengths
- Excellent at code
- World-class on Arena
- Has a free tier
- Open-source and self-hostable
Limitations
- Average speed
- API pricing not disclosed
Who is it for
- you want to control cost or self-host
- your data must stay in the EU
- you need very fast responses
Ideal use cases
- Ultra-low-cost coding
- Self-hosting
- Academic research
- Budget-tight apps
Access & availability
Key specifications
What it costs per month
Estimate from sourced API prices and a hardware tier for self-hosting. Assumptions are editable.
Assumptions: 36-month amortisation, 0.25 €/kWh, 22 days/month, 1 $ = 0.92 €. Excludes labour, software licences, redundancy.
nAIvigate Trust Index
What the vendor offers and documents for professional use in Europe. An undocumented criterion counts as zero and stays visible: the score rises when the vendor publishes, not when we assume.
19/19 criteria documented · 100 % · 12 of them set by rule
See the criteria▾
Trust Index badge
Show this score in your docs, README or security page. It updates automatically.
[](https://naivigate.com/en/model/deepseek-v3)Data & compliance
What we know, line by line, with source and date. These lines feed the Data and Enterprise families of the Trust Index above. GDPR compliance depends on your processing, not on the model alone.
| EU data residency | Yes |
| Data processing agreement (DPA) | N/A· self-hosted: data never leaves |
| Transfer outside the EU | No |
| Training on your data | No |
| Configurable retention | N/A· self-hosted: data never leaves |
| Zero Data Retention | N/A· self-hosted: data never leaves |
| Self-hostable | Yes |
| Declared hosting | CN/self |
| Anonymisable data | Yes |
Quality of this card’s data
This score measures the quality of the data on this card: price, context, Elo, licence, documented, sourced and fresh. It measures neither the model nor its compliance: for that, see the Trust Index above.
7/8 documented · 2/8 primary sources
Run it locally
| Quantization | Disk | RAM / VRAM | Typical hardware |
|---|---|---|---|
| Q4 · recommended | 390.4 GB | 431 GB | Server GPU infra (H100/A100…) |
| Q8 · balanced | 733 GB | 808 GB | Server GPU infra (H100/A100…) |
| FP16 · max quality | 1370 GB | 1509 GB | Server GPU infra (H100/A100…) |
Estimates for a moderate context. Long contexts need more RAM (KV cache).
Deploy
Copy-ready commands generated from this card. Adjust context length and GPU count to your hardware.
Easiest way to try it on a workstation. Install Ollama, then:
ollama run deepseek-v3Advanced data · for expertsArchitecture, modalities, detailed cost, full benchmarks▾
| Arena Elo | 1395 |
| MMLU | 87.5% |
| GPQA | 59.0% |
| HumanEval | 89.0% |
| SWE-Bench | 42.0% |
| MATH | 90.2% |