LLMs & Assistants
ChatGPT vs DeepSeek.
Both sit in LLMs & Assistants, scored on the same six pillars from the same published methodology. Here is where they actually differ.
The short answer
ChatGPT scores higher — 90.7 against 83.6, a margin of 7.1 points. That is the overall answer, not the whole one: the pillar breakdown below is where the decision usually actually gets made.
ChatGPT leads on maturity & reliability, integrations & ecosystem and security & compliance; DeepSeek leads on value for money.
OpenAI
90.7
Exceptional
The most widely adopted general-purpose AI assistant.
- From
- Free / $20 per month (Plus)
- Pricing
- Freemium
- Maturity
- Mature
- Founded
- 2022
DeepSeek AI
83.6
Excellent
Open-weight frontier models at a fraction of the usual cost.
- From
- Free (open weights) / low-cost API
- Pricing
- Open Source
- Maturity
- Emerging
- Founded
- 2023
Pillar by pillar
The same six pillars and fixed weights used for every tool on the site. A lead of fewer than 5 points is not called for either side — these are evidence-backed judgements, not measurements. Read the methodology.
Capability
ChatGPT by 7
Value for Money
DeepSeek by 7
Security & Compliance
ChatGPT by 10
Integrations & Ecosystem
ChatGPT by 12
Maturity & Reliability
ChatGPT by 20
Momentum
ChatGPT by 5
Which one, and when
Pick ChatGPT if
- →it has to hold up in production from day one — it leads Maturity & Reliability by 20 points.
- →it has to fit the stack you already run — it leads Integrations & Ecosystem by 12 points.
- →compliance and data control decide it — it leads Security & Compliance by 10 points.
- →General knowledge work
- →Prototyping AI use cases
- →Teams standardizing on one assistant
The catch
- Data-training controls require explicit opt-out on consumer tiers
- Rate limits on frontier models even for paid tiers at peak times
Pick DeepSeek if
- →cost per unit of output is the binding constraint — it leads Value for Money by 7 points.
- →Cost-sensitive AI workloads
- →Self-hosted frontier reasoning
- →Teams fine-tuning open models
The catch
- Hosted service raises data-residency questions for regulated buyers
- Enterprise support and certifications lag Western labs
What each is good at
ChatGPT
- ✓Broadest feature set of any assistant: browsing, code execution, vision, voice and image generation in one product
- ✓Massive ecosystem of custom GPTs and third-party integrations
- ✓Fast release cadence keeps it at or near the state of the art
DeepSeek
- ✓Frontier-class reasoning and coding at a small fraction of the cost
- ✓Open weights allow self-hosting, fine-tuning and full data control
- ✓API pricing undercuts most closed competitors substantially
Other comparisons in LLMs & Assistants
Comparing something else? Build your own side-by-side across any tools in the catalog.