Related to Qwen
AI change log
Official announcements and automatically detected signals are labelled separately.
qwen3-next-80b-a3b-instruct 토큰당 가격 인하 40%
입력 $0.15 / 1M 토큰 → $0.09 / 1M 토큰 · 출력 $1.50 / 1M 토큰 → $1.10 / 1M 토큰
qwen3-next-80b-a3b-instruct 토큰당 가격 인상 50%
입력 $0.10 / 1M 토큰 → $0.15 / 1M 토큰 · 출력 $1.10 / 1M 토큰 → $1.50 / 1M 토큰
qwen3.5-27b 토큰당 가격 인상 33%
입력 $0.20 / 1M 토큰 → $0.26 / 1M 토큰 · 출력 $1.56 / 1M 토큰 → $2.60 / 1M 토큰
qwen3.5-397b-a17b 토큰당 가격 인하 18%
입력 $0.55 / 1M 토큰 → $0.45 / 1M 토큰 · 출력 $3.50 / 1M 토큰 → $3.00 / 1M 토큰
qwen3-235b-a22b-2507 토큰당 가격 인상 3%
입력 $0.087 / 1M 토큰 → $0.090 / 1M 토큰 · 출력 $0.35 / 1M 토큰 → $0.55 / 1M 토큰
A benchmark for LLMs playing Civilization V. GLM-5.3 is ahead of Opus-5.5, and Qwen-3.8-27B holds up surprisingly well.
r/LocalLLaMA
llama.cpp v0.6.0 released with MTP speculative decoding for Qwen4Exp and lots more
r/LocalLLaMA
Finetuned 1.5B Qwen to generate bash commands at gpt-4o level using 400k synthetic examples + Fully opensource finetune dataset
r/LocalLLaMA
Reflection AI Is About to Release a US Open-Weight Model to Take On DeepSeek and Qwen
r/LocalLLaMA
bilibili released Index-Translate,a A Multilingual Translation Model Family based on Qwen3.5
r/LocalLLaMA
Two local Qwen ( 3.8 27b unsloth Q6 and Qwen flash next strata coder ) models vs Claude Opus 4.6 on the same 3 coding tasks. One of them tied it. Not here to start a fight, just sharing numbers
r/LocalLLaMA
Tuned/abliterated Qwen3.8-27b into a 24gb card 262k guff using the newest unreleased version of LexiPanel. It's fast with reliable draft acceptance. Made for 7900xtx but should work on whatever 24gb c
r/LocalLLaMA
Running 95.5 GiB Qwen3.8-Flash-Next at 41–52 tok/s on a 64GB Mac (1.76x faster than llama.cpp): Slipstream release, 130k context scaling, + Swift variant
r/LocalLLaMA
Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune)
r/LocalLLaMA
[Release] GSQ-RCO GGUFs for Qwen3.8-Flash-Next, plus a 50% expert-pruned Coder build at ~1.89 bpw
r/LocalLLaMA
qwen3-30b-a3b-instruct-2507 토큰당 가격 인하 52%
입력 $0.10 / 1M 토큰 → $0.05 / 1M 토큰 · 출력 $0.30 / 1M 토큰 → $0.19 / 1M 토큰
Qwen next 3.8 and 3.8 27b Vs Sonnet 5.5 low and Sonnet 5.5 medium.
r/LocalLLaMA
qwen3-30b-a3b 토큰당 가격 인하 8%
입력 $0.13 / 1M 토큰 → $0.12 / 1M 토큰 · 출력 $0.52 / 1M 토큰 → $0.50 / 1M 토큰
qwen3-14b 토큰당 가격 인상 90%
입력 $0.12 / 1M 토큰 → $0.23 / 1M 토큰 · 출력 $0.24 / 1M 토큰 → $0.91 / 1M 토큰
The Opus 5.5 posts about motion graphics are cool but Qwen 27B made this on a 4090
r/LocalLLaMA
qwen3-30b-a3b 토큰당 가격 인상 8%
입력 $0.12 / 1M 토큰 → $0.13 / 1M 토큰 · 출력 $0.50 / 1M 토큰 → $0.52 / 1M 토큰
R9V Update: Created and adopted KVA projections based on Deepseek V4.1 Flash + HySparse2/MiMo-V3 for Qwen3.8 Flash Next. This is a game changer for models that don't natively implement it. 1.45-1.85x
r/LocalLLaMA
Qwen-3.8-27B is good enough that I stopped using API
r/LocalLLaMA
qwen3-30b-a3b-instruct-2507 토큰당 가격 인상 108%
입력 $0.05 / 1M 토큰 → $0.10 / 1M 토큰 · 출력 $0.19 / 1M 토큰 → $0.30 / 1M 토큰
qwen3-next-80b-a3b-instruct 토큰당 가격 인상 11%
입력 $0.09 / 1M 토큰 → $0.10 / 1M 토큰
qwen3.8-max-prime 공개
qwen 네임스페이스에 새 모델이 올라왔습니다 · 컨텍스트 1,000,000 · 입력 $4.00 / 1M 토큰
qwen3.8-omni-flash 공개
qwen 네임스페이스에 새 모델이 올라왔습니다 · 컨텍스트 1,000,000 · 입력 $0.15 / 1M 토큰
qwen3.6-35b-a3b 토큰당 가격 인상 50%
입력 $0.10 / 1M 토큰 → $0.15 / 1M 토큰 · 출력 $0.90 / 1M 토큰 → $1.00 / 1M 토큰
Qwen-Image-2.1 released!
r/LocalLLaMA
Qwen-Image-2.1-PE-I2I 공개
Qwen 조직에 새 모델이 올라왔습니다 · 좋아요 20