Google Gemini Memory vs Grok Memory (xAI)
Google Gemini Memory vs Grok Memory (xAI): side-by-side comparison of two platform-provider memory systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Cost & capability
| Google Gemini Memory | Grok Memory (xAI) | |
|---|---|---|
| Capability band | frontier | frontier |
| Capability composite | 88 | 80 |
| Cost tier | free | free |
| $/Mtok input | 0 | 0 |
| $/Mtok output | 0 | 0 |
| Use cases | Memory Augmented Chat, Long Running Session | Memory Augmented Chat, Long Running Session |
Where they differ (10)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Google Gemini Memory | Grok Memory (xAI) | |
|---|---|---|
| Capability composite | 88 | 80 |
| Type | Personal Context + Personal Intelligence | Preference-distillation + user-deletable |
| Created | 2024-11-20 (initial rollout to Gemini Advanced subscribers) | 2025-02-17 (Grok 3 launch with memory) |
| Pricing | Free; Google AI Pro $20/mo; AI Ultra $100/mo and $200/mo tiers (US, May 2026) | Free; The X Subscription (Grok + Cursor + X): Plus $8/mo, Premium $30/mo, Super $100/mo, Ultra $200/mo (annual discounts; team seats on Premium/Super/Ultra); existing SuperGrok plans continue |
| Funding | Google/Alphabet public (GOOGL); no separate Gemini funding | xAI raised $20B Series E (Jan 2026; Valor, StepStone, Fidelity, QIA, Nvidia, Cisco), ~$230B valuation; merged into SpaceX (announced 2026-02-02, combined ~$1T) |
| Backend storage | custom (Google-managed) | custom (xAI-managed) |
| MCP | via official adapter — Gemini supports MCP via ADK / extensions | searched not found |
| A2A | supported — Google originated A2A | not supported |
| Optimised for | Google ecosystem personal context (Gmail, Drive, Calendar) | preference distillation + user-deletable |
| Anti-fit | not for non-Google ecosystems | not for enterprise programmatic use |
At a glance
| Google Gemini Memory | Grok Memory (xAI) | |
|---|---|---|
| Section | Platform-provider memory | Platform-provider memory |
| Tier | T1 | T1 |
| Type | Personal Context + Personal Intelligence | Preference-distillation + user-deletable |
| Created | 2024-11-20 (initial rollout to Gemini Advanced subscribers) | 2025-02-17 (Grok 3 launch with memory) |
| Pricing | Free; Google AI Pro $20/mo; AI Ultra $100/mo and $200/mo tiers (US, May 2026) | Free; The X Subscription (Grok + Cursor + X): Plus $8/mo, Premium $30/mo, Super $100/mo, Ultra $200/mo (annual discounts; team seats on Premium/Super/Ultra); existing SuperGrok plans continue |
| Funding | Google/Alphabet public (GOOGL); no separate Gemini funding | xAI raised $20B Series E (Jan 2026; Valor, StepStone, Fidelity, QIA, Nvidia, Cisco), ~$230B valuation; merged into SpaceX (announced 2026-02-02, combined ~$1T) |
| Backend storage | custom (Google-managed) | custom (xAI-managed) |
| Deployment | Managed-only | Managed-only |
| Multi-tenancy | hard-isolation | hard-isolation |
| MCP | via official adapter — Gemini supports MCP via ADK / extensions | searched not found |
| A2A | supported — Google originated A2A | not supported |
| OpenTelemetry | no — consumer product | no — consumer product |
| Optimised for | Google ecosystem personal context (Gmail, Drive, Calendar) | preference distillation + user-deletable |
| Anti-fit | not for non-Google ecosystems | not for enterprise programmatic use |
Taxonomy
| Axis | Google Gemini Memory | Grok Memory (xAI) |
|---|---|---|
| storage | kv | kv |
| retrieval | injection | injection |
| persistence | long-term | long-term |
| update | extraction | extraction |
| unit | fact | fact |
| governance | user-controllable | user-controllable |
| conflict | llm-arbitrate | llm-arbitrate |
Pros & cons
Google Gemini Memory
Pros: Tightest integration of any memory product with personal data sources (Gmail, Drive, Calendar) where users have meaningful history.
Cons: Cross-product data sharing is a trust liability; persistence model has been less clearly communicated than ChatGPT's.
Grok Memory (xAI)
Pros: Tied to X timeline data — a corpus no other vendor has access to.
Cons: Privacy framing is weakest of the major platforms; corpus quality varies sharply by user activity.