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DINUM / beta.gouv.fr (French Government)

government · France

Scores

1 product on the map — 1 open.

Compar:IA

Openness

5 high confidence
5.0
license
Apache-2.0(OSI
source
public
core features withheld
no — publicly funded, README documents full Docker self-hosting

Compar:IA carries a permissive OSI license, Apache-2.0, and the full source is public. The README describes it as 'the open-source LLM arena,' documents Docker self-hosting for the whole platform, and offers no paid tier to withhold anything from that release.

Adoption

3 high confidence
3.0

compar:IA's GitHub star count reflects only the repository, not the hosted arena where people actually use the product, so it does not measure reach on its own. The reading instead follows the arena's own collected data: the free-form prompts and preference votes recorded in the team's arXiv paper as of 2026-02-07, most of it in French, rather than a repository or user count.

Capability

4 high confidence
4.0

Compar:IA covers the core arena workflow LMArena offers, blind pairwise voting and a public leaderboard, and adds per-conversation environmental estimates, open datasets published to Hugging Face, data.gouv.fr and Mozilla, and Docker self-hosting. It compares large language models only, without LMArena's image and code arenas.

  • https://arxiv.org/abs/2602.06669 recorded 2026-09-29

    Abstract describes "a blind pairwise comparison interface to capture unconstrained, real-world prompts" and releases "three complementary datasets" with "a French-language model leaderboard".

  • https://comparia.beta.gouv.fr/ recorded 2026-09-29

    Homepage says users chat with two anonymous AIs, and offers "Mesurer l’empreinte écologique des questions posées aux IA" plus a ranking explainer "Comment le classement compar:IA est-il calculé ?".

  • https://github.com/betagouv/ComparIA recorded 2026-06-22

    Feature list: model comparison, voting, EcoLogits, dataset publishing, self-hosting

  • https://raw.githubusercontent.com/betagouv/ComparIA/develop/README.md recorded 2026-09-29

    README describes a blind arena: "compar:IA is a blind arena for large language models. You type a prompt, two anonymous models reply, and you vote for the answer you prefer". Roadmap Done items include "Dataset publishing pipeline v1", "Leaderboard v1" and "Language / platform-specific model support"; it offers "Self-host with Docker" with "automatic HTTPS via Caddy" and lists a second instance, "AI-arenaen", in Denmark.