Comparison
mteb vs LLMSurvey
Verdict
Pick mteb when tags unique to mteb: benchmark, embeddings, evaluation, information-retrieval; pick LLMSurvey when pricing: Since no detailed pricing plan was specified in the repository contents, it can be inferred that access to the materials and resources of LLMSurvey might be free; however, specific details about usage.
Markdown twin · mteb alternatives · LLMSurvey alternatives
GraphCanon updated today
Trust & integrity
| Signal | mteb | LLMSurvey |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Dormant (487d 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) | No lockfile As of today · none | No lockfile As of 1d · none |
Tagline
- mteb
- State-of-the-art evaluation of embeddings across languages and modalities
- LLMSurvey
- A comprehensive collection of papers and resources related to Large Language Models.
Stars
- mteb
- 3.3k
- LLMSurvey
- 12k
Forks
- mteb
- 638
- LLMSurvey
- 935
Open issues
- mteb
- 295
- LLMSurvey
- 30
Language
- mteb
- Python
- LLMSurvey
- Python
Adopt for
- mteb
- -
- LLMSurvey
- LLMSurvey is a comprehensive resource center dedicated to large language model research, collecting and organizing scholarly materials and resources relevant to chain-of-thought reasoning, in-context learning, RLHF, and训
Persona
- mteb
- -
- LLMSurvey
- -
Runtime
- mteb
- -
- LLMSurvey
- -
License
- mteb
- Apache-2.0
- LLMSurvey
- The license for LLMSurvey is unknown based on the provided repository information.
Last pushed
- mteb
- Jul 9, 2026
- LLMSurvey
- Mar 11, 2025
Categories
- mteb
- Evaluation & Observability
- LLMSurvey
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- mteb
- Very active (96%)
- LLMSurvey
- Dormant (18%)
Days since push
- mteb
- 1d
- LLMSurvey
- 487d
Open issues (now)
- mteb
- 295
- LLMSurvey
- 30
Full report
- mteb
- Trust report
- LLMSurvey
- Trust report
Choose mteb if…
- Tags unique to mteb: benchmark, embeddings, evaluation, information-retrieval.
- mteb ships Docker support for self-hosted deployment.
- More recently updated (last pushed Jul 9, 2026).
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.
Choose LLMSurvey if…
- Pricing: Since no detailed pricing plan was specified in the repository contents, it can be inferred that access to the materials and resources of LLMSurvey might be free; however, specific details about usage.
- Tags unique to LLMSurvey: chain-of-thought, in-context-learning, instruction-tuning, large-language-models.
- Also covers LLM Frameworks.
- You should use LLMSurvey if you are seeking deep insights into specific advancements such as long chain-of-thought (CoT) reasoning approaches used by DeepSeek-R1 or OpenAI's o-series models.
When NOT to use LLMSurvey
- You might not want to use LLMSurvey if you prefer tools that offer practical implementation details over a survey-style summary and organization of research papers.
- Consider other resources if your focus is on hands-on development rather than deep academic exploration, as LLMSurvey provides extensive academic coverage but fewer direct coding or implementation how
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (embeddings-benchmark/mteb) · observed Jul 11, 2026
- GitHub forks (embeddings-benchmark/mteb) · observed Jul 11, 2026
- Last push (embeddings-benchmark/mteb) · observed Jul 9, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (RUCAIBox/LLMSurvey) · observed Jul 11, 2026
- GitHub forks (RUCAIBox/LLMSurvey) · observed Jul 11, 2026
- Last push (RUCAIBox/LLMSurvey) · observed Mar 11, 2025
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mteb 3.3k · LLMSurvey 12k (synced Jul 11, 2026).
Common questions
- What is the difference between mteb and LLMSurvey?
- mteb: State-of-the-art evaluation of embeddings across languages and modalities. LLMSurvey: A comprehensive collection of papers and resources related to Large Language Models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mteb over LLMSurvey?
- Choose mteb over LLMSurvey when Tags unique to mteb: benchmark, embeddings, evaluation, information-retrieval; mteb ships Docker support for self-hosted deployment; More recently updated (last pushed Jul 9, 2026).
- When should I choose LLMSurvey over mteb?
- Choose LLMSurvey over mteb when Pricing: Since no detailed pricing plan was specified in the repository contents, it can be inferred that access to the materials and resources of LLMSurvey might be free; however, specific details about usage; Tags unique to LLMSurvey: chain-of-thought, in-context-learning, instruction-tuning, large-language-models; Also covers LLM Frameworks; You should use LLMSurvey if you are seeking deep insights into specific advancements such as long chain-of-thought (CoT) reasoning approaches used by DeepSeek-R1 or OpenAI's o-series models.
- 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 LLMSurvey?
- You might not want to use LLMSurvey if you prefer tools that offer practical implementation details over a survey-style summary and organization of research papers. Consider other resources if your focus is on hands-on development rather than deep academic exploration, as LLMSurvey provides extensive academic coverage but fewer direct coding or implementation how
- Is mteb or LLMSurvey more popular on GitHub?
- LLMSurvey has more GitHub stars (12,187 vs 3,349). Stars measure visibility, not whether either tool fits your constraints.
- Are mteb and LLMSurvey open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to mteb or LLMSurvey?
- GraphCanon lists graph-backed alternatives at mteb alternatives and LLMSurvey alternatives (mteb markdown twin, LLMSurvey 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, mteb or LLMSurvey?
- mteb: Very active. LLMSurvey: 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 mteb and LLMSurvey?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mteb trust report; LLMSurvey trust report.