is there anything with a 1M context window I can spend 100-200usd a day on that actually works? I don't have 5-10m to wait for claude to think about how to respond to a three word prompt.
model
Qwen3.6-27B
huggingface.co/Qwen/Qwen3.6-27B ↗
4485375 downloads1727 likesimage-text-to-texttransformers
from the model card
Qwen3.6-27B [!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. Following the February release of the Qwen3.5 series, we're pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience. Qwen3.6 Highlights This release delivers substantial upgrades, particularly in Agentic Coding: the model now handles frontend workflows and repository-level reasoning with greater fluency and precision. Thinking Preservation: we've introduced a new option to retain reasoning context from historical messages, streamlining iterative development and reducing overhead. For more details, please refer to our blog post Qwen3.6-27B. Model Overview Type: Causal Language Model with Vision Encoder Training Stage: Pre-training & Post-training Language Model Number of Parameters: 27B Hidden Dimension: 5120 Token Embedding: 248320 (Padded) Number of Layers: 64 Hidden Layout: 16 × (3 × (Gated DeltaNet → FFN) → 1 × (Gated Attention → FFN)) Gated DeltaNet: Number of Linear Attention Heads: 48 for V and 16 for QK Head Dimension: 128 Gated Attenti…
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claude is a token maxxing f*ckboi, what's next? (www.reddit.com via reddit) I was curious why MTP affects PP TPS in llama.cpp. My PoC recovers it? (news.ycombinator.com) I've been running Qwen3.6-35B-A3B locally on llama.cpp and noticed that prompt processing throughput gets too low with MTP. I got nerd-sniped.
Show HN: A leaderboard of most popular open-weight LLMs (osolmaz-leaderboard.hf.space via hn) 1 qwen3-vl-2b-instruct 25.7M/mo 56.7/mo 2.13B 2025-10-19 8mo ago Qwen/Qwen3-VL-2B-Instruct + 2 more variants 2 qwen3-6-35b-a3b 21.6M/mo 2.2K/mo 36.0B 2026-04-15 2mo ago Qwen/Qwen3.6-35B-A3B + 15 more variants 3 qwen3-6-27b 20.3M/mo 2.1K/mo…
I keep restarting vibe dev in CC! (www.reddit.com via reddit) Hi all I'm coming here because I'm a bit desperate. I've a Web and mobile app project and I'm trying to use AI Agent to dev it.
Qwen and Fable: An open-weights agentic coding model. 35B Mixture-of-Experts (huggingface.co via hn) Qwable-v1 Qwen + Fable · An open-weights agentic coding model. 35B Mixture-of-Experts (3B active), built by layering Claude Fable-5 agentic tool-use behavior on top of a Claude Opus 4.7 reasoning distill of Qwen3.6-35B-A3B.
Qwen 3.6 93B with MTP on 2×RTX 3090 NVLink=187 tokens/SEC,LLM lost bleat-a-thon (github.com via hn) * AI CODE CREATION GitHub Copilot Write better code with AI GitHub Copilot app Direct agents from issue to merge MCP Registry New Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environment…
RTX 5080 and RTX 3090 Setup: 80 Tok/s on Qwen 3.6 27B Q8 (imil.net via hn) RTX 5080 + RTX 3090 Setup: 80+ Tok/s on Qwen 3.6 27B Q8 A year ago, I bought an RTX 5080 for both gaming and AI experiments. Little did I know back then that I would be giving into the joys of local LLM setups.
How to Setup a Local Coding Agent on macOS (ikyle.me via hn) How to Setup a Local Coding Agent on macOS Running Gemma 4 26B-A4B and Qwen3.6 35B-A3B locally with llama.cpp, MTP speculative decoding, multimodal support, and PI as a coding agent. I'd had my internet fail a few times recently leaving me…