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Qwen3.8-Flash-Next

Alibaba · Qwen series · released 24 Aug 2026 · as of 13 Nov, 20:12 UTC

63
02550751000 = all negative · 50 = neutral · 100 = all positive

Positive

Reddit reads Qwen3.8-Flash-Next as positive: an index of 63 from 222 opinions in 135 threads last 7 days, its whole 95% interval, 58–68, above neutral. That is 2nd of the 25 models with a full read. 1 point colder than the previous 7 days, within noise.

The share praising is highest for coding, 79% of 58 opinions; opinion on follow-through is split. On benchmarks: 21st of 94 on Code Arena.

Per day

The last 14 UTC days. Each day's own index at its value, with its 95% interval.

  1. Sat 31 Oct67
  2. Sun 1 Nov45
  3. Mon 2 Nov42
  4. Tue 3 Nov57
  5. Wed 4 Nov35
  6. Thu 5 Nov39
  7. Fri 6 Nov33
  8. Sat 7 Nov47
  9. Sun 8 Nov45
  10. Mon 9 Nov37
  11. Tue 10 Nov33
  12. Wed 11 Nov23
  13. Thu 12 Nov12
  14. Fri 13 Nov25 so far

None of the 4 full-read days this week stands apart from the rest of the week: each is within noise.

Is Qwen3.8-Flash-Next getting worse?

This measures opinion, not capability: whether Reddit's view of Qwen3.8-Flash-Next moved, not whether the model changed. Reddit's view has not moved by more than noise: 63 in the last 7 days against 65 in the 7 before, a gap of 1.4 points inside its 95% margin of ±7.2; a smaller shift can't be ruled out.

Praised and criticised

Share of the opinions on each topic that praise it. Tagged by a language model; topics never feed the index.

  1. Codingmostly praised58
  2. Speedmostly praised54
  3. Follow-throughsplit45
  4. Intelligencemostly praised41

Reddit and the benchmarks

Its rank on each list, bottom to top. Outside numbers sit beside Reddit and never feed its index. Hover a name for the value and its source.

  1. #2 of 25 with a full read
  2. #21 of 94 on Arena

Per subreddit

The model's index within each subreddit, from 10 opinions; faded below 30 opinions, 20 threads or 20 accounts.

  1. r/LocalLLM101
  2. r/LocalLLaMA84
  3. r/Qwen_AI25

Threads behind the opinions

The 20 threads with the most opinions about this model. A thread's index reads the opinions in it, not the post, and shows from 10 opinions.

ThreadSubredditOpinionsIndex
Artificial Analysis updated Qwen 3.8 Flash Next score as 29r/LocalLLaMA1354
Also experienced the Qwen3.8-Flash-Next URL issuer/LocalLLaMA9–
QWEN3.8 Flash Next underperforming for me?r/LocalLLM9–
Thank-you video to Qwen 3.8 Flash Next.r/Qwen_AI6–
Local LLM vs. frontier agent on real work, not a benchmark: Qwen 3.8 Flash Next came a close second to Claude Opus 5.5r/LocalLLM5–
Anyone running local AI on 16GB vram?in 5 commentsr/LocalLLaMA5–
Qwen 3.8 Flash-Next C++r/LocalLLM5–
Is ArtificialAnalysis biased against open weight models?in 4 commentsr/LocalLLaMA4–
Claude vs. Qwen 3.8 Flash Next on RTX6000, Claude admits defeat :-)r/LocalLLM4–
Gpt-oss-120b on 128gb Macin 4 commentsr/LocalLLM4–
I wanted 128GB to run bigger models. After trying a 125B MoE, im not sure bigger is always betterr/LocalLLM3–
Strata vs Basalt more differences than speed.r/LocalLLaMA3–
When do you think we'll be able to run a genuinely capable AI coding agent locally on a mid-range or high-end PCin 3 commentsr/LocalLLM3–
Motion graphics video made with Qwen3.8 Flash Next GSQ RCO IQ3_XXS on stratar/LocalLLaMA3–
Joined the 4x R9700 Club | Initial Benchmarks for QFN 3.8 Belowr/LocalLLaMA3–
The Qwen Flash Next alibaba URL thing happened to me too just nowr/LocalLLaMA3–
How do local LLMs ACTUALLY Perform compared to closed-source AI?in 3 commentsr/LocalLLM3–
Jensen Huang's mistake was being too pro LocalAI, which was a threat to companies like ClosedAI and Anthropic which are about to go IPOin 2 commentsr/LocalLLaMA2–
stray "no instructions" thoughts in Qwen3.8 Flash Next BF16r/LocalLLM2–
Actual Performance Qwen 4 vs. Qwen 3.8in 2 commentsr/Qwen_AI2–

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