Home/Compare/ChatGLM-6B vs GPTCache

Comparison

ChatGLM-6B vs GPTCache

Verdict

Pick ChatGLM-6B when license: ChatGLM-6B is Apache-2.0, GPTCache is MIT; pick GPTCache when license: GPTCache is MIT, ChatGLM-6B is Apache-2.0.

Markdown twin · ChatGLM-6B alternatives · GPTCache alternatives

GraphCanon updated today

ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

41kpushed Jun 27, 2024
vs
GPTCache logo

GPTCache

zilliztech/GPTCache

8.1kpushed Jul 11, 2025

Trust & integrity

SignalChatGLM-6BGPTCache
Maintenance
Dormant (744d since push)
As of today · github_public_v1
Dormant (365d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
75 low (75 low)
As of today · osv@v1
No criticals
As of 1d · osv@v1

Tagline

ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
GPTCache
Semantic cache for LLMs.

Stars

ChatGLM-6B
41k
GPTCache
8.1k

Forks

ChatGLM-6B
5.1k
GPTCache
583

Open issues

ChatGLM-6B
609
GPTCache
91

Language

ChatGLM-6B
Python
GPTCache
Python

Adopt for

ChatGLM-6B
-
GPTCache
Semantic caching tool for LLMs, integrates with LangChain and llama_index.

Persona

ChatGLM-6B
-
GPTCache
-

Runtime

ChatGLM-6B
-
GPTCache
-

License

ChatGLM-6B
Apache-2.0
GPTCache
MIT

Last pushed

ChatGLM-6B
Jun 27, 2024
GPTCache
Jul 11, 2025

Categories

ChatGLM-6B
Data & Retrieval, LLM Frameworks, Vector Databases
GPTCache
Evaluation & Observability, Inference & Serving

Trust and health

Days since push

ChatGLM-6B
744d
GPTCache
365d

Open issues (now)

ChatGLM-6B
609
GPTCache
91

Security scan

ChatGLM-6B
75 low (75 low)
GPTCache
No criticals

Full report

ChatGLM-6B
Trust report
GPTCache
Trust report

Shared compatibility

  • Python · ChatGLM-6B: Python runtime · GPTCache: Python runtime

Choose ChatGLM-6B if…

  • License: ChatGLM-6B is Apache-2.0, GPTCache is MIT.
  • Tags unique to ChatGLM-6B: python.
  • Also covers Data & Retrieval, LLM Frameworks, Vector Databases.

When NOT to use ChatGLM-6B

  • Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Choose GPTCache if…

  • License: GPTCache is MIT, ChatGLM-6B is Apache-2.0.
  • Tags unique to GPTCache: aigc, autogpt, babyagi, chatbot.
  • Also covers Evaluation & Observability, Inference & Serving.
  • You need vector search capabilities integrated directly into your caching mechanism using Milvus or Redis.

When NOT to use GPTCache

  • Your application strictly requires a non-Python environment as GPTCache is Python-specific.
  • If you seek minimal dependencies and manual setup; GPTCache installs additional libraries automatically based on usage.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ChatGLM-6B 41k · GPTCache 8.1k (synced Jul 11, 2026).

Common questions

What is the difference between ChatGLM-6B and GPTCache?
ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型. GPTCache: Semantic cache for LLMs.. See the comparison table for live GitHub stats and shared categories.
When should I choose ChatGLM-6B over GPTCache?
Choose ChatGLM-6B over GPTCache when License: ChatGLM-6B is Apache-2.0, GPTCache is MIT; Tags unique to ChatGLM-6B: python; Also covers Data & Retrieval, LLM Frameworks, Vector Databases.
When should I choose GPTCache over ChatGLM-6B?
Choose GPTCache over ChatGLM-6B when License: GPTCache is MIT, ChatGLM-6B is Apache-2.0; Tags unique to GPTCache: aigc, autogpt, babyagi, chatbot; Also covers Evaluation & Observability, Inference & Serving; You need vector search capabilities integrated directly into your caching mechanism using Milvus or Redis.
When should I avoid ChatGLM-6B?
Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
When should I avoid GPTCache?
Your application strictly requires a non-Python environment as GPTCache is Python-specific. If you seek minimal dependencies and manual setup; GPTCache installs additional libraries automatically based on usage.
Is ChatGLM-6B or GPTCache more popular on GitHub?
ChatGLM-6B has more GitHub stars (41,035 vs 8,094). Stars measure visibility, not whether either tool fits your constraints.
Are ChatGLM-6B and GPTCache open source?
Yes - both are open-source projects on GitHub (ChatGLM-6B: Apache-2.0, GPTCache: MIT).
Where can I find alternatives to ChatGLM-6B or GPTCache?
GraphCanon lists graph-backed alternatives at ChatGLM-6B alternatives and GPTCache alternatives (ChatGLM-6B markdown twin, GPTCache 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, ChatGLM-6B or GPTCache?
ChatGLM-6B: Dormant. GPTCache: Dormant. 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 ChatGLM-6B and GPTCache?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatGLM-6B trust report; GPTCache trust report.