Comparison
Kimi-K2 vs open-webui
Verdict
Pick Kimi-K2 if kimi K2, developed by Moonshot AI team, brings a large language model series providing an API compatible with OpenAI and Anthropic interfaces; pick open-webui if open WebUI is a Python-based web interface for interacting with AI models and APIs, including Ollama and OpenAI. It supports self-hosting and can be installed via pip or Docker, with options for.
Markdown twin · Kimi-K2 alternatives · open-webui alternatives
GraphCanon updated Oct 10, 2026
11views this month
vs
Trust & integrity
| Signal | Kimi-K2 | open-webui |
|---|---|---|
| Maintenance | Slowing (262d since push) As of Oct 10, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 10, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Kimi-K2
- Large language model series developed by Moonshot AI team
- open-webui
- User-friendly AI Interface
Stars
- Kimi-K2
- 11k
- open-webui
- 152k
Forks
- Kimi-K2
- 915
- open-webui
- 22k
Open issues
- Kimi-K2
- 72
- open-webui
- 300
Language
- Kimi-K2
- -
- open-webui
- Python
Adopt for
- Kimi-K2
- Kimi K2, developed by Moonshot AI team, brings a large language model series providing an API compatible with OpenAI and Anthropic interfaces.
- open-webui
- Open WebUI is a Python-based web interface for interacting with AI models and APIs, including Ollama and OpenAI. It supports self-hosting and can be installed via pip or Docker, with options for CUDA acceleration.
Persona
- Kimi-K2
- -
- open-webui
- -
Runtime
- Kimi-K2
- -
- open-webui
- -
License
- Kimi-K2
- The code and model weights of Kimi K2 are released under a Modified MIT License.
- open-webui
- Other
Last pushed
- Kimi-K2
- Jan 21, 2026
- open-webui
- Sep 18, 2026
Categories
- Kimi-K2
- Inference & Serving, LLM Frameworks
- open-webui
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- Kimi-K2
- Slowing (36%)
- open-webui
- Very active (96%)
Days since push
- Kimi-K2
- 262d
- open-webui
- 0d
Open issues (now)
- Kimi-K2
- 72
- open-webui
- 300
Stars delta
- Kimi-K2
- -3 (30d)
- open-webui
- +3.6k (30d)
Open issues delta
- Kimi-K2
- +1 (30d)
- open-webui
- -98 (30d)
Full report
- Kimi-K2
- Trust report
- open-webui
- Trust report
Choose Kimi-K2 if…
- Pricing: N/A.
- Requirements: Model deployment examples are available for vLLM and SGLang, aiding in setup and integration..
- Tags unique to Kimi-K2: anthropic-compatibility, api accessible, ktransformers, moonshot ai.
- - When looking to deploy models on specific inference engines like vLLM or SGLang which are well-supported for Kimi K2.
When NOT to use Kimi-K2
- - Avoid using it if your application strictly requires a different model format that isn't supported by Kimi K2 (currently block-fp8).
- - Do not use this tool if you are dependent on running inference outside of the recommended engines, as compatibility and performance may be compromised without specific support.
Choose open-webui if…
- Tags unique to open-webui: ai, llm, llm-ui, llm-webui.
- open-webui ships Docker support for self-hosted deployment.
- When you need a user-friendly web interface to interact with AI models and APIs, including Ollama and OpenAI.
When NOT to use open-webui
- If you do not require a web-based interface and prefer command-line interaction with AI models.
- When you are working with Python versions other than 3.11, as Open WebUI may have compatibility issues.
- If you do not have the necessary Nvidia CUDA container toolkit installed for CUDA support.
- When you need a solution that does not require preserving the 'Open WebUI' branding as per the license.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MoonshotAI/Kimi-K2) · observed Oct 10, 2026
- GitHub forks (MoonshotAI/Kimi-K2) · observed Oct 10, 2026
- Last push (MoonshotAI/Kimi-K2) · observed Jan 21, 2026
- License file (Other) · observed Oct 10, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (open-webui/open-webui) · observed Sep 20, 2026
- GitHub forks (open-webui/open-webui) · observed Sep 20, 2026
- Last push (open-webui/open-webui) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: Kimi-K2 11k · open-webui 152k (synced Oct 10, 2026).
Common questions
- What is the difference between Kimi-K2 and open-webui?
- Kimi-K2: Large language model series developed by Moonshot AI team. open-webui: User-friendly AI Interface. See the comparison table for live GitHub stats and shared categories.
- When should I choose Kimi-K2 over open-webui?
- Choose Kimi-K2 over open-webui when Pricing: N/A; Requirements: Model deployment examples are available for vLLM and SGLang, aiding in setup and integration.; Tags unique to Kimi-K2: anthropic-compatibility, api accessible, ktransformers, moonshot ai; - When looking to deploy models on specific inference engines like vLLM or SGLang which are well-supported for Kimi K2.
- When should I choose open-webui over Kimi-K2?
- Choose open-webui over Kimi-K2 when Tags unique to open-webui: ai, llm, llm-ui, llm-webui; open-webui ships Docker support for self-hosted deployment; When you need a user-friendly web interface to interact with AI models and APIs, including Ollama and OpenAI.
- When should I avoid Kimi-K2?
- - Avoid using it if your application strictly requires a different model format that isn't supported by Kimi K2 (currently block-fp8). - Do not use this tool if you are dependent on running inference outside of the recommended engines, as compatibility and performance may be compromised without specific support.
- When should I avoid open-webui?
- If you do not require a web-based interface and prefer command-line interaction with AI models. When you are working with Python versions other than 3.11, as Open WebUI may have compatibility issues. If you do not have the necessary Nvidia CUDA container toolkit installed for CUDA support. When you need a solution that does not require preserving the 'Open WebUI' branding as per the license.
- Is Kimi-K2 or open-webui more popular on GitHub?
- open-webui has more GitHub stars (152,445 vs 11,106). Stars measure visibility, not whether either tool fits your constraints.
- Are Kimi-K2 and open-webui open source?
- Yes - both are open-source projects on GitHub (Kimi-K2: Other, open-webui: Other).
- Where can I find alternatives to Kimi-K2 or open-webui?
- GraphCanon lists graph-backed alternatives at Kimi-K2 alternatives and open-webui alternatives (Kimi-K2 markdown twin, open-webui markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Kimi-K2 or open-webui?
- Kimi-K2: Slowing. open-webui: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for Kimi-K2 and open-webui?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Kimi-K2 trust report; open-webui trust report.