LLMs & Assistants
DeepSeek vs Mistral AI.
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
Too close to call on score alone — DeepSeek sits at 83.6 and Mistral AI at 83.4. A gap that size is inside the noise of any honest scoring model, so pick on fit rather than rank.
DeepSeek leads on value for money; Mistral AI leads on security & compliance and maturity & reliability.
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
Mistral AI
83.4
Excellent
European frontier lab with strong open-weight models and Le Chat.
- From
- Free / €14.99 per month (Pro)
- Pricing
- Freemium
- Maturity
- Established
- 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
Level
Value for Money
DeepSeek by 6
Security & Compliance
Mistral AI by 13
Integrations & Ecosystem
Level
Maturity & Reliability
Mistral AI by 6
Momentum
Level
Which one, and when
Pick DeepSeek if
- →cost per unit of output is the binding constraint — it leads Value for Money by 6 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 Mistral AI if
- →compliance and data control decide it — it leads Security & Compliance by 13 points.
- →it has to hold up in production from day one — it leads Maturity & Reliability by 6 points.
- →EU data-sovereignty requirements
- →Self-hosted deployments
- →Cost-efficient API workloads
The catch
- Frontier capability trails the top US labs on hardest tasks
- Smaller assistant ecosystem and fewer consumer features
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
Mistral AI
- ✓Best-in-class open-weight models for self-hosting
- ✓EU jurisdiction simplifies GDPR and data-sovereignty compliance
- ✓Aggressive pricing across API tiers
Other comparisons in LLMs & Assistants
Comparing something else? Build your own side-by-side across any tools in the catalog.