LLMs & Assistants
DeepSeek vs Gemini.
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
Gemini scores higher — 90.4 against 83.6, a margin of 6.8 points. That is the overall answer, not the whole one: the pillar breakdown below is where the decision usually actually gets made.
DeepSeek leads on value for money; Gemini leads on security & compliance, maturity & reliability and integrations & ecosystem.
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
90.4
Exceptional
Google's multimodal frontier models woven through Workspace and Android.
- From
- Free / $19.99 per month (AI Pro)
- Pricing
- Freemium
- Maturity
- Mature
- 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
Gemini by 5
Value for Money
DeepSeek by 5
Security & Compliance
Gemini by 16
Integrations & Ecosystem
Gemini by 13
Maturity & Reliability
Gemini by 14
Momentum
Level
Which one, and when
Pick DeepSeek if
- →cost per unit of output is the binding constraint — it leads Value for Money by 5 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
Pick Gemini if
- →compliance and data control decide it — it leads Security & Compliance by 16 points.
- →it has to hold up in production from day one — it leads Maturity & Reliability by 14 points.
- →it has to fit the stack you already run — it leads Integrations & Ecosystem by 13 points.
- →Google Workspace organizations
- →Multimodal workloads
- →Cost-sensitive API usage at scale
The catch
- Product surface changes frequently; naming and tiers can confuse
- Best experience assumes commitment to the Google ecosystem
What each is good at
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
Gemini
- ✓Native multimodality including long-video understanding
- ✓1M+ token context windows at competitive API prices
- ✓Ships inside Gmail, Docs, Sheets and Android at massive scale
Other comparisons in LLMs & Assistants
Comparing something else? Build your own side-by-side across any tools in the catalog.