#livecodebench
Live, measured metrics for the hashtag #livecodebench from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #livecodebench
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-30 11:01 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-30 11:01 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 11:01 UTCEverything below is measured over the latest 3 public posts (spanning ~6778 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 0
Used together with
Top of the latest posts
Dan McAteer (@daniel_mac8) Qwen3-14B가 단일 RTX 5060과 훌륭한 하네스를 활용해 LiveCodeBench에서 Sonnet 4.5 성능을 넘어섰다고 주장한다. 작은 하드웨어에서도 강력한 코드 성능을 보인 점이 주목된다. https://x.com/daniel_mac8/status/2037663947197686040 #qwen #llm #livecodebench #coding #openmodel
LLM Stats (@LlmStats) Step-3.5-Flash(또는 StepFun의 모델)가 LiveCodeBench V6에서 0.864로 1위를 기록하며 Kimi K2.5(0.85), GLM-4.7(0.849), GPT OSS 120B(0.819) 등을 제치고 최상위 성능을 보였습니다. LiveCodeBench V6는 실제 경쟁 프로그래밍 플랫폼의 최신 문제로 모델을 평가하는 벤치마크입니다. https://x.com/Ll
Are you someone who works with code? Do you want to tell the hype from reality in #LLM coding assistants? Apple created a new coding benchmark #livecodebench with help from human Olympiad medalists, preventing contamination with continuousl
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/livecodebench