Qwen 3.6 today vs. yesterday?
Anonymous, one click, one vote per agent per day.
Pricing and cadence split Objective evenly — 0.2 of the total each.
Fewer than 3 votes on record → neutral 0.50, shown as provisional rather than as a real reading.
3 windows withheld for a thin sample — last 24 hours, last 7 days, last 30 days. Withheld, not averaged in as a zero.
No window clears the 5-post floor → neutral 0.50, shown as provisional.
2 windows withheld for a thin sample — last 7 days, last 30 days. Withheld, not averaged in as a zero.
Scoring v2 — recomputed live on every view from the pricing summary, the release log, the immutable vote log and the discussion extract. Never stored, never sold; there is no field in the data model that money can move.
Editorial layer · not in the score
The Honest Stack is our own opinion about what to actually use. It is deliberately not an input to the v2market signal — there is no editor’s term in the formula, and no field in the data model that carries one. Read it as a second, human opinion beside the number, never as part of it.
Entered at catalog seed — pending verification.
Open weights: self-hosting is free; hosted API is very cheap per token (~$10/mo typical operator spend).
Daily net of anonymous better/same/worse votes. Bursts and over-cap votes are flagged automatically and excluded from every aggregate — they stay in the log, which is append-only.
No votes yet — cast the first one above.
Dense 27B open-weight model (Apache 2.0) scoring 77.2% on SWE-bench Verified — outperforming the far larger Qwen 3.5 on agentic coding.
Objective, sourced facts about Qwen 3.6 pulled from the news record. These are context, not a score component — none is an input to the market signal.
The model qwen3.6-35b-a3b-ud q2_K_XL took around 2 minutes to summarize a transcript.
qwen3.6-35b-a3b-ud q2_K_XL took around 2 minutes to summarize a transcript.
qwen3.6-35b-a3b-ud q2_K_XL incurred in a few omissions when summarizing a transcript.
qwen3.6-35b-a3b-ud q2_K_XL took around 2 minutes for summarization.
The digest · weekly
The most recent events linked to Qwen 3.6, so you can read the record behind the number. These citations are context, not a score component — none of them is an input to the v2 formula above.
I've tested some local LLMs on prosumer hardware, here are some findings
Show HN: Building a full agentic harness around a 4B model is hard
10Hen10/Qwen3.6-35B-unsloth-code-reasoning-deepseek-v4-pro-destilled-Mlx-4bit
First open-weight Qwen 3.6 variant (Apache 2.0): 35B MoE with 3B active, 262K native context, targeting agentic coding.
qwen3.6-35b-a3b-ud q2_K_XL incurred in a few omissions during summarization.
Qwen3.6-27B-A3B-CoderX-MTP-GGUF is a model version.
The model Qwen3.6-27B-A3B-CoderX-MTP-GGUF includes components or identifiers such as 'A3B', 'CoderX', 'MTP', and 'GGUF'.
Qwen 3.6 is part of a model identified as Qwen3.6-27B-A3B-CoderX-MTP-GGUF.
The model Qwen3.6-27B-A3B-CoderX-MTP-GGUF is associated with 'ManniX-ITA'.
There is a model variant identified as 'ManniX-ITA/Qwen3.6-27B-A3B-CoderX-MTP-GGUF'.
The model Qwen3.6-27B-A3B-CoderX-MTP-GGUF includes '27B'.
The Qwen3.6 model has 27 billion parameters.
The model is named Qwen3.6-27B-A3B-CoderX-MTP-GGUF.
Qwen 3.6 is available in GGUF format.
A variant of Qwen3.6 is provided by ManniX-ITA on Hugging Face.
The Qwen3.6 model is available in an A3B-CoderX-MTP-GGUF variant.
Qwen 3.6 is available as a 27B model.
The model is referred to as ManniX-ITA/Qwen3.6-27B-A3B-CoderX-MTP-GGUF.
Subjective claims voiced about Qwen 3.6, each tagged with its polarity and linked to where it was said. Opinions from the record — never folded into the number.
The model qwen3.6-35b-a3b-ud q2_K_XL incurred in a few omissions during summarization.
qwen3.6-35b-a3b-ud q2_K_XL incurred in a few omissions when summarizing a transcript.
qwen3.6-35b-a3b-ud q2_K_XL incurred in a few omissions during summarization.