LLMs & Assistants
Grok 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
Too close to call on score alone — Grok sits at 82.7 and Kimi at 84.0. A gap that size is inside the noise of any honest scoring model, so pick on fit rather than rank.
Grok leads on security & compliance; Kimi leads on value for money, integrations & ecosystem and maturity & reliability.
xAI
82.7
Excellent
Real-time assistant wired directly into X, with a candid personality.
- From
- Free / $30 per month (SuperGrok)
- Pricing
- Freemium
- Maturity
- Emerging
- 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
Level
Value for Money
Kimi by 8
Security & Compliance
Grok by 6
Integrations & Ecosystem
Kimi by 6
Maturity & Reliability
Kimi by 6
Momentum
Level
Which one, and when
Pick Grok if
- →compliance and data control decide it — it leads Security & Compliance by 6 points.
- →Real-time social research
- →Teams already living on X
- →Cost-efficient agentic coding
The catch
- Enterprise security and compliance story is younger than rivals
- Personality tuning has drawn scrutiny over output controls
Pick Kimi if
- →cost per unit of output is the binding constraint — it leads Value for Money by 8 points.
- →it has to fit the stack you already run — it leads Integrations & Ecosystem by 6 points.
- →it has to hold up in production from day one — it leads Maturity & Reliability by 6 points.
- →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
Grok
- ✓Live access to X gives it a real-time edge on news and sentiment
- ✓Fast-improving reasoning and coding across recent model releases
- ✓Generous context and image understanding on paid tiers
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.