Cost-Optimised Replacements
Replace GPT-4 with DeepSeek-V3 for a 90–95% API cost reduction on tasks like summarisation, classification, content generation and Q&A.
DeepSeek
DeepSeek
High-performance reasoning built on DeepSeek
DeepSeek delivers GPT-4-level performance at a fraction of the cost — particularly for coding, maths and reasoning tasks. We deploy DeepSeek-V3 and R1 in production environments.
DeepSeek-V3 / R1Latest models
95% cheaperVs GPT-4 API
MIT licenceTruly open source
Models We Work With
Every DeepSeek model, for every workload
Flagship
DeepSeek-V3
DeepSeek's frontier model — matches GPT-4 on most benchmarks at roughly 95% lower API cost. Our default recommendation for cost-sensitive production workloads.
Reasoning
DeepSeek-R1
DeepSeek's chain-of-thought reasoning model — competitive with o1 on maths, science and logic tasks at dramatically lower cost.
Fast reasoning
DeepSeek-R1 Distilled
Smaller distilled versions (7B, 14B, 32B, 70B) of R1 — reasoning capability at self-hostable sizes for cost and privacy requirements.
Code
DeepSeek-Coder-V2
DeepSeek's code-specialist model — among the best open-source models for code generation, debugging and completion across 338 languages.
MoE efficient
DeepSeek-V2
Mixture-of-Experts architecture that activates only 21B of 236B parameters — delivers high quality at low inference cost.
Vision
DeepSeek-VL2
DeepSeek's vision-language model for image understanding, document analysis and visual question answering tasks.
What We Build
DeepSeek applications at production scale
Advanced Reasoning Systems
DeepSeek-R1 for applications that need chain-of-thought reasoning — tutoring platforms, legal analysis, financial modelling and scientific tools.
Code Generation Pipelines
DeepSeek-Coder-V2 supports 338 languages — internal coding assistants, code review bots and automated test generation.
Private Self-Hosted AI
DeepSeek models are MIT-licensed — deploy on your own infrastructure with no usage fees, no data sharing and full model ownership.
High-Volume Data Processing
Process millions of documents, records or data points cost-effectively — DeepSeek's pricing makes previously uneconomical AI workloads viable.
RAG & Knowledge Systems
Private knowledge bases and enterprise search powered by DeepSeek — high quality at a cost that makes large-scale RAG affordable.
What We Deliver
Every DeepSeek project includes
✓Model selection across V3, R1 and Coder-V2
✓API deployment (DeepSeek API) or self-hosted setup
✓Cost-vs-quality analysis vs GPT-4 / Claude
✓Prompt optimisation for DeepSeek's instruction format
✓Self-hosted deployment with vLLM or Ollama
✓Quantised deployment (AWQ/GGUF) for GPU efficiency
✓Fine-tuning pipeline if domain adaptation needed
✓Production monitoring and cost tracking
FAQ
Common questions
How does DeepSeek-V3 compare to GPT-4?
On most benchmarks DeepSeek-V3 is within 5–10% of GPT-4. It outperforms GPT-4 on coding tasks and maths. The API costs roughly $0.27/M tokens vs $10/M for GPT-4 — about 97% cheaper.
Is DeepSeek safe to use in an enterprise?
The DeepSeek API has data privacy concerns for sensitive data (servers in China). For enterprise use, we recommend self-hosting the MIT-licensed model on your own infrastructure.
Can DeepSeek-R1 replace OpenAI's o1?
On maths and coding benchmarks, DeepSeek-R1 matches or exceeds o1 at a fraction of the cost. For most reasoning applications it's our recommended alternative.
What hardware do I need to self-host DeepSeek?
DeepSeek-R1 7B on a single A10G. DeepSeek-V3 (full 671B) needs 8× H100 — most enterprises use the distilled R1 variants (14B–70B) which need 1–4 GPUs.
Want GPT-4 quality at 95% lower cost?
Tell us your current AI costs and use case — we'll model the DeepSeek savings.
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