--- title: "mteb vs chunktuner" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/embeddings-benchmark-mteb-vs-shantanu-deshmukh-chunktuner" tools: ["embeddings-benchmark-mteb", "shantanu-deshmukh-chunktuner"] --- # mteb vs chunktuner *GraphCanon updated Jul 12, 2026* ## Verdict Pick mteb when license: mteb is Apache-2.0, chunktuner is MIT; pick chunktuner when license: chunktuner is MIT, mteb is Apache-2.0. [mteb](https://docs.mteb.org) reports 3.3k GitHub stars, 638 forks, and 295 open issues, last pushed Jul 9, 2026. [chunktuner](https://shantanu-deshmukh.github.io/chunktuner/) has 2 stars, 0 forks, and 0 open issues, last pushed Jun 21, 2026. Figures are from public GitHub metadata via [mteb's repository](https://github.com/embeddings-benchmark/mteb) and [chunktuner's repository](https://github.com/shantanu-deshmukh/chunktuner). | | [mteb](/tools/embeddings-benchmark-mteb.md) | [chunktuner](/tools/shantanu-deshmukh-chunktuner.md) | | --- | --- | --- | | Tagline | State-of-the-art evaluation of embeddings across languages and modalities | Benchmark and optimize chunking strategies for RAG corpus | | Stars | 3,349 | 2 | | Forks | 638 | 0 | | Open issues | 295 | 0 | | Language | Python | Python | | Adopt for | - | A specialized benchmarking suite for optimizing chunking strategies in RAG corpora, offering a comprehensive toolkit inclusive of CLI and server components. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Evaluation & Observability | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mteb](/tools/embeddings-benchmark-mteb.md) | [chunktuner](/tools/shantanu-deshmukh-chunktuner.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 20d | | Open issues (now) | 295 | 0 | | Owner type | Organization | User | | Security scan | No lockfile | 2 low (2 low) | | Full report | [trust report](/tools/embeddings-benchmark-mteb/trust.md) | [trust report](/tools/shantanu-deshmukh-chunktuner/trust.md) | ## Decision facts: chunktuner - **Pricing:** freemium - Open source with an MIT license, offering free use for both personal and commercial projects. No costs beyond typical computing resources are implied by its usage. - **Adopt for:** A specialized benchmarking suite for optimizing chunking strategies in RAG corpora, offering a comprehensive toolkit inclusive of CLI and server components. ## Choose when ### Choose mteb if… - License: mteb is Apache-2.0, chunktuner is MIT. - Tags unique to mteb: benchmark, embeddings, information-retrieval, multilingual-nlp. - mteb ships Docker support for self-hosted deployment. ### Choose chunktuner if… - License: chunktuner is MIT, mteb is Apache-2.0. - Pricing: Open source with an MIT license, offering free use for both personal and commercial projects. No costs beyond typical computing resources are implied by its usage.. - Tags unique to chunktuner: chunking, embedding, langchain, litellm. - Also covers Data & Retrieval. - - You are working specifically with retrieval-augmented generation (RAG) systems which require tailored optimization and evaluation. ## When NOT to use mteb - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use chunktuner - - If you do not deal with RAG systems or if the nature of your workflow does not benefit from specific optimizations in text chunking strategies across a corpus. - - You are working on projects that don't necessitate evaluation and optimization at the level provided by 'chunktuner', such as simpler tasks that can be managed without extensive configuration tools. ## Common questions ### What is the difference between mteb and chunktuner? mteb: State-of-the-art evaluation of embeddings across languages and modalities. chunktuner: Benchmark and optimize chunking strategies for RAG corpus. See the comparison table for live GitHub stats and shared categories. ### When should I choose mteb over chunktuner? Choose mteb over chunktuner when License: mteb is Apache-2.0, chunktuner is MIT; Tags unique to mteb: benchmark, embeddings, information-retrieval, multilingual-nlp; mteb ships Docker support for self-hosted deployment. ### When should I choose chunktuner over mteb? Choose chunktuner over mteb when License: chunktuner is MIT, mteb is Apache-2.0; Pricing: Open source with an MIT license, offering free use for both personal and commercial projects. No costs beyond typical computing resources are implied by its usage.; Tags unique to chunktuner: chunking, embedding, langchain, litellm; Also covers Data & Retrieval; - You are working specifically with retrieval-augmented generation (RAG) systems which require tailored optimization and evaluation. ### When should I avoid mteb? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid chunktuner? - If you do not deal with RAG systems or if the nature of your workflow does not benefit from specific optimizations in text chunking strategies across a corpus. - You are working on projects that don't necessitate evaluation and optimization at the level provided by 'chunktuner', such as simpler tasks that can be managed without extensive configuration tools. ### Is mteb or chunktuner more popular on GitHub? mteb has more GitHub stars (3,349 vs 2). Stars measure visibility, not whether either tool fits your constraints. ### Are mteb and chunktuner open source? Yes - both are open-source projects on GitHub (mteb: Apache-2.0, chunktuner: MIT). ### Where can I find alternatives to mteb or chunktuner? GraphCanon lists graph-backed alternatives at [mteb alternatives](/tools/embeddings-benchmark-mteb/alternatives) and [chunktuner alternatives](/tools/shantanu-deshmukh-chunktuner/alternatives) ([mteb markdown twin](/tools/embeddings-benchmark-mteb/alternatives.md), [chunktuner markdown twin](/tools/shantanu-deshmukh-chunktuner/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/embeddings-benchmark-mteb-vs-shantanu-deshmukh-chunktuner.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mteb or chunktuner? mteb: Very active. chunktuner: 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 mteb and chunktuner? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mteb trust report](/tools/embeddings-benchmark-mteb/trust); [chunktuner trust report](/tools/shantanu-deshmukh-chunktuner/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=embeddings-benchmark-mteb`](/api/graphcanon/graph?tool=embeddings-benchmark-mteb) - 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/_