--- title: "chinese-llm-benchmark vs evals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jeinlee1991-chinese-llm-benchmark-vs-openai-evals" tools: ["jeinlee1991-chinese-llm-benchmark", "openai-evals"] --- # chinese-llm-benchmark vs evals *GraphCanon updated Aug 7, 2026* ## Verdict Pick chinese-llm-benchmark if chinese-llm-benchmark (ReLE评测) 是一个专门用于评估中文大规模语言模型的工具，它可以全面评测涵盖商用和开源的大规模语言模型，并提供详细排行榜及超过200万条缺陷数据。它的主要特点是多维度评估能力和丰富的领域覆盖范围。; pick evals if evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations. [chinese-llm-benchmark](https://nonelinear.com) reports 6.4k GitHub stars, 261 forks, and 17 open issues, last pushed Aug 4, 2026. [evals](https://github.com/openai/evals) has 19k stars, 3.0k forks, and 213 open issues, last pushed Apr 14, 2026. Figures are from public GitHub metadata via [chinese-llm-benchmark's repository](https://github.com/jeinlee1991/chinese-llm-benchmark) and [evals's repository](https://github.com/openai/evals). | | [chinese-llm-benchmark](/tools/jeinlee1991-chinese-llm-benchmark.md) | [evals](/tools/openai-evals.md) | | --- | --- | --- | | Tagline | ReLE评测：中文AI大模型能力评测 | Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks. | | Stars | 6,353 | 19,127 | | Forks | 261 | 3,050 | | Open issues | 17 | 213 | | Language | - | Python | | Adopt for | chinese-llm-benchmark (ReLE评测) 是一个专门用于评估中文大规模语言模型的工具，它可以全面评测涵盖商用和开源的大规模语言模型，并提供详细排行榜及超过200万条缺陷数据。它的主要特点是多维度评估能力和丰富的领域覆盖范围。 | Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations. | | Persona | - | - | | Runtime | - | - | | License | - | Other | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chinese-llm-benchmark](/tools/jeinlee1991-chinese-llm-benchmark.md) | [evals](/tools/openai-evals.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 115d | | Open issues (now) | 17 | 213 | | Owner type | User | Organization | | Full report | [trust report](/tools/jeinlee1991-chinese-llm-benchmark/trust.md) | [trust report](/tools/openai-evals/trust.md) | ## Decision facts: chinese-llm-benchmark - **Adopt for:** chinese-llm-benchmark (ReLE评测) 是一个专门用于评估中文大规模语言模型的工具，它可以全面评测涵盖商用和开源的大规模语言模型，并提供详细排行榜及超过200万条缺陷数据。它的主要特点是多维度评估能力和丰富的领域覆盖范围。 ## Decision facts: evals - **Adopt for:** Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations. ## Choose when ### Choose chinese-llm-benchmark if… - Tags unique to chinese-llm-benchmark: agentic-ai, artificial-intelligence, llm-agent, llm-evaluation. - 当需要对多种中文字句生成、理解能力进行综合评价时使用； - More recently updated (last pushed Aug 4, 2026). ### Choose evals if… - Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, large language models. - * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem. - More GitHub stars (19k vs 6.4k) - visibility, not fit. ## When NOT to use chinese-llm-benchmark - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use evals - * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. - * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a ## Common questions ### What is the difference between chinese-llm-benchmark and evals? chinese-llm-benchmark: ReLE评测：中文AI大模型能力评测. evals: Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.. See the comparison table for live GitHub stats and shared categories. ### When should I choose chinese-llm-benchmark over evals? Choose chinese-llm-benchmark over evals when Tags unique to chinese-llm-benchmark: agentic-ai, artificial-intelligence, llm-agent, llm-evaluation; 当需要对多种中文字句生成、理解能力进行综合评价时使用；; More recently updated (last pushed Aug 4, 2026). ### When should I choose evals over chinese-llm-benchmark? Choose evals over chinese-llm-benchmark when Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, large language models; * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem; More GitHub stars (19k vs 6.4k) - visibility, not fit. ### When should I avoid chinese-llm-benchmark? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid evals? * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a ### Is chinese-llm-benchmark or evals more popular on GitHub? evals has more GitHub stars (19,127 vs 6,353). Stars measure visibility, not whether either tool fits your constraints. ### Are chinese-llm-benchmark and evals open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to chinese-llm-benchmark or evals? GraphCanon lists graph-backed alternatives at [chinese-llm-benchmark alternatives](/tools/jeinlee1991-chinese-llm-benchmark/alternatives) and [evals alternatives](/tools/openai-evals/alternatives) ([chinese-llm-benchmark markdown twin](/tools/jeinlee1991-chinese-llm-benchmark/alternatives.md), [evals markdown twin](/tools/openai-evals/alternatives.md)), 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](/compare/jeinlee1991-chinese-llm-benchmark-vs-openai-evals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chinese-llm-benchmark or evals? chinese-llm-benchmark: Very active. evals: Slowing. 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 chinese-llm-benchmark and evals? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chinese-llm-benchmark trust report](/tools/jeinlee1991-chinese-llm-benchmark/trust); [evals trust report](/tools/openai-evals/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jeinlee1991-chinese-llm-benchmark`](/api/graphcanon/graph?tool=jeinlee1991-chinese-llm-benchmark) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_