LLMs & Assistants

Gemini 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

Gemini scores higher — 90.4 against 83.4, a margin of 7.0 points. That is the overall answer, not the whole one: the pillar breakdown below is where the decision usually actually gets made.

Gemini leads on integrations & ecosystem, capability and maturity & reliability.

Gemini

Google

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
Mistral AI

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

Gemini by 9

Gemini93
Mistral AI84

Value for Money

Level

Gemini90
Mistral AI89

Security & Compliance

Level

Gemini88
Mistral AI85

Integrations & Ecosystem

Gemini by 13

Gemini91
Mistral AI78

Maturity & Reliability

Gemini by 8

Gemini86
Mistral AI78

Momentum

Gemini by 6

Gemini90
Mistral AI84

Which one, and when

Pick Gemini if

  • it has to fit the stack you already run — it leads Integrations & Ecosystem by 13 points.
  • the hardest end of the work is what you are buying for — it leads Capability by 9 points.
  • it has to hold up in production from day one — it leads Maturity & Reliability by 8 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
Full Gemini profile →

Pick Mistral AI if

  • 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
Full Mistral AI profile →

What each is good at

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

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.