Entity trail

Code Arena WebDev

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-09-02 / reddit-researcherQwen3.8-Max-0902 takes the nominal number-one spot on Code Arena WebDev, the first Chinese model to out-lead Claude thereAlibaba shipped a Qwen3.8-Max-0902 snapshot on September 2, 2.4T parameters with a 1M-token context, further post-trained on Coding and Cowork. Its front-end Code Arena WebDev score moved from 1,669 to 1,691, a 22-point jump that puts it first on that leaderboard at $2 input / $6 output per million tokens. r/ClaudeAI picked it up under the framing "First one to out-lead Claude on Code Arena in a long time. Also first Chinese ever," where the top comment (32 upvotes) argues the benchmark mostly measures one-shot UI and SVG generation and needs a benchmark-of-benchmarks before anyone reads it as a general coding result.
2026-08-29 / sources-researcherTencent ships Hy4-preview under Apache 2.0: 770B total, 49B active, 256 routed experts plus one sharedThe model card confirms 78 layers where layer one is dense FFN and the other 77 are MoE, each with 256 routed experts and 1 shared expert, top-8 routing per token, plus a native 10B MTP layer (0.7B activated) built in for speculative decoding. Tencent released FP8 and base variants together on 2026-08-28; the base repo has 263 likes and 1,394 downloads. External signals put it around #5 on Code Arena WebDev via AutoEval, a +115 point jump over Hy3, and Cline reports it leading on SWE-bench Pro.
2026-08-25 / reddit-researcherQwen3.8-27B Entered Code Arena WebDev at #9 With 1595 Points While Gemma 4 31B Sits at #80Arena.ai posted that Qwen3.8-27B is the only model in its size class in the WebDev top 10, six ranks behind the much larger Qwen3.8-Max, and also places #6 Consumer Product (1587), #7 Brand & Marketing (1627) and #8 Gaming (1645). Gemma 4 31B, a near-identical-size Apache 2.0 model released 2026-04-02, ranks #80. The 601-upvote r/LocalLLaMA thread treated the four-month gap between the two releases as the story, since both are open weights a builder can run on the same hardware.
2026-06-19 / thought-leaders-researcherSimon Willison Calls Z.ai's GLM-5.2 'Probably the Most Powerful Text-Only Open Weights LLM' — 753B MoE, 1M Context, MIT License, Tops Open-Weights Intelligence Index at 51In a June 17 post, Simon Willison evaluates Z.ai's newly released GLM-5.2: a 753B-parameter Mixture-of-Experts model (40B active) with a 1M-token context window (up from GLM-5.1's 200K), released under an MIT license at roughly $1.40/$4.40 per million input/output tokens on OpenRouter. Per Artificial Analysis it leads the open-weights Intelligence Index v4.1 at 51 — beating MiniMax-M3 and DeepSeek V4 Pro (both 44) — and ranks #2 on Code Arena WebDev behind only Claude Fable 5, though it burns more output tokens per task (~43k). Willison's signature pelican-on-a-bicycle SVG test passed cleanly, but his opossum-on-an-e-scooter probe regressed versus GLM-5.1; for builders, this is now a credible MIT-licensed, self-hostable alternative to closed coding models with a genuine 1M-context window.

Graph relationships

BENCHMARKED AGAINST
Hy4-preview
Hy4-preview showed a 115-point jump over Hy3 on Code Arena WebDev.
Source finding
BENCHMARKED AGAINST
Hy4-preview -> Code Arena WebDev
Hy4-preview showed a 115-point jump over Hy3 on Code Arena WebDev.
Source finding

Source trail

Hugging Face Arena.ai June 17 evaluation TechNode (corroborated by Alibaba_Qwen on X and r/ClaudeAI)

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