LLMs & Assistants
Gemini vs Kimi.
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 84.0, a margin of 6.4 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 security & compliance, integrations & ecosystem and maturity & reliability.
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
Moonshot AI
84.0
Excellent
Open-weight frontier assistant with standout agentic coding at rock-bottom cost.
- From
- Free chat / from $0.60 per 1M tokens (API)
- Pricing
- Open Source
- 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 5
Value for Money
Level
Security & Compliance
Gemini by 20
Integrations & Ecosystem
Gemini by 11
Maturity & Reliability
Gemini by 8
Momentum
Level
Which one, and when
Pick Gemini if
- →compliance and data control decide it — it leads Security & Compliance by 20 points.
- →it has to fit the stack you already run — it leads Integrations & Ecosystem by 11 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
Pick Kimi if
- →Cost-sensitive frontier LLM workloads
- →Self-hosted agentic coding
- →Teams fine-tuning open models
The catch
- China-based hosting raises data-residency and compliance questions for regulated buyers
- Trails the very top on some pure-reasoning benchmarks (GPQA-Diamond, AIME) versus GPT-5.4
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
Kimi
- ✓Frontier-class agentic coding — K2.7-Code leads Opus 4.8 on MCP-Mark Verified
- ✓Trillion-parameter MoE with open weights for self-hosting and fine-tuning
- ✓256K context and API pricing that undercuts most closed competitors many times over
Other comparisons in LLMs & Assistants
Comparing something else? Build your own side-by-side across any tools in the catalog.