chinese-llm-benchmark logo
chinese-llm-benchmark
★ 6.5k
vs
lm logo
lm
★ 121

chinese-llm-benchmark vs lm

chinese-llm-benchmark: ReLE Benchmark (formerly CLiB) provides a continuously updated evaluation for Chinese AI large language models, covering over 337 commercial and open-source LLMs. It offers multi-dimensional capability assessments across various domains, along with comprehensive rankings and a large defect library for model improvement.; lm: Houtini LM connects Claude Code to a local LLM, offloading bounded tasks like boilerplate generation, code review, and commit messages to a free, private local model, while Claude handles complex reasoning. It tracks token savings and supports various local LLM backends.

01

TL;DR

chinese-llm-benchmark logo
chinese-llm-benchmarkLLM Infra · ★ 6.5k

Comparing and selecting the best performing LLMs for specific applications.

lm logo
lmLLM Infra · ★ 121

Generate boilerplate, test stubs, and documentation

02

Side-by-Side Comparison

Field
chinese-llm-benchmark logochinese-llm-benchmark
lm logolm
Category
LLM Infra
LLM Infra
Stars
★ 6.5k
★ 121
License
—
MIT
Install Command
git clone https://github.com/jeinlee1991/chinese-llm-benchmark.git
npx -y @houtini/lm
Updated
2d ago
1w ago
Open Source
Yes
Yes
Tags
LLM Evaluation, Chinese LLMs, AI Benchmark
ai-agents, claude-mcp, code-generation
03

Features

chinese-llm-benchmark logochinese-llm-benchmark
01Extensive coverage of 337+ commercial and open-source Chinese LLMs.
02Multi-dimensional evaluation across 7 main domains and ~300 sub-dimensions.
03Provides detailed ranking lists for various capabilities and specific domains.
04Offers a large defect library with over 2 million LLM flaws for research and improvement.
05Supports customized model selection and free evaluation services for private models.
lm logolm
01Offload bounded tasks to a local LLM via Claude Code
02Token tracking with session footer for cost visibility
03Compatible with multiple local LLM backends (LM Studio, Ollama, vLLM, etc.)
04Streaming responses with 55-second soft timeout to avoid client-side timeouts
05Multiple specialized tools (chat, custom_prompt, code_task, discover, list_models)
04

Use Cases

chinese-llm-benchmark logochinese-llm-benchmark
↳Comparing and selecting the best performing LLMs for specific applications.
↳Identifying weaknesses and improving the capabilities of large language models.
↳Benchmarking private or custom LLMs against public models for performance and cost optimization.
lm logolm
↳Generate boilerplate, test stubs, and documentation
↳Perform code review, explanation, and format conversion
↳Draft commit messages and brainstorm approaches
05

Best For

chinese-llm-benchmark logochinese-llm-benchmark
EssentialTrending
lm logolm
—
FAQ

FAQ

What is the difference between chinese-llm-benchmark and lm?
Both chinese-llm-benchmark and lm are in the LLM Infra category. chinese-llm-benchmark has 6.5k stars, while lm has 121 stars.
Which is better, chinese-llm-benchmark or lm?
The best choice depends on your use case. Choose chinese-llm-benchmark if Comparing and selecting the best performing LLMs for specific applications., and lm if Generate boilerplate, test stubs, and documentation.
Is chinese-llm-benchmark free or open source?
Yes, chinese-llm-benchmark is open source on GitHub.
Is lm free or open source?
Yes, lm is open source on GitHub (MIT).
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