LLMs & Assistants
Gemini vs Meta 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 77.9, a margin of 12.5 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 momentum, security & compliance and capability.
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
Meta Platforms, Inc.
77.9
Strong
Llama-powered assistant built into WhatsApp, Instagram, Messenger and the web
- From
- Free (consumer); usage-based via Llama API for developers
- 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 13
Value for Money
Level
Security & Compliance
Gemini by 25
Integrations & Ecosystem
Level
Maturity & Reliability
Gemini by 8
Momentum
Gemini by 26
Which one, and when
Pick Gemini if
- →where the product will be in a year matters as much as today — it leads Momentum by 26 points.
- →compliance and data control decide it — it leads Security & Compliance by 25 points.
- →the hardest end of the work is what you are buying for — it leads Capability 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
Pick Meta AI if
- →Consumers already living inside WhatsApp, Instagram, or Facebook who want an assistant without installing a new app
- →Hands-free, voice- and vision-based queries via Ray-Ban Meta smart glasses
- →Developers wanting to build on openly-licensed Llama 4 models via managed cloud APIs
The catch
- Data collection spans public posts, chat interactions, and connected third-party app data, with limited universal opt-out for AI training
- Momentum concerns: multiple original Llama researchers have departed and Meta's own leadership has acknowledged agent-related progress is behind plan
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
Meta AI
- ✓Unmatched built-in distribution across apps used by billions, including voice interaction on Messenger, Facebook, WhatsApp, and Instagram DMs
- ✓Powered by Llama 4 with native multimodal (text+image) understanding and an industry-leading long context window in the Scout variant
- ✓Free to use with no separate subscription required for core assistant features
Other comparisons in LLMs & Assistants
Comparing something else? Build your own side-by-side across any tools in the catalog.