Home/Compare/mteb vs LLMSurvey

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

mteb logo

mteb

embeddings-benchmark/mteb

3.3kpushed Jul 9, 2026
vs
LLMSurvey logo

LLMSurvey

RUCAIBox/LLMSurvey

12kpushed Mar 11, 2025

Trust & integrity

SignalmtebLLMSurvey
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

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 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.