r/LocalLLaMA · past month

Qwen 3.8 Flash Next — October 2026

Community sentiment from 10 posts · 27 comments · collected November 10, 2026 · generated November 10, 2026

Qwen 3.8 Flash Next — October 2026 scores 71.63/100 overall in the r/LocalLLaMA community benchmark, collected November 10, 2026 from 10 posts and 27 comments. Its strongest category is Intelligence at 78/100, and its weakest is Reliability & uptime at 55/100.

71.63/ 100

Confidence: medium — 27 direct mentions out of 400 comments in the top-10 posts; coverage is solid for intelligence, coding, speed and agentic use, but instruction following, creative writing and vision are not discussed, and the reliability signal is dominated by a single incident thread plus a few skeptical replies.

Category scores

Intelligence

78

Strongly positive. Users report Qwen Flash Next 'has consistently surprised me on, figuring out really abstract stuff' (top comment, score 155), call it 'overall very intelligent and very capable' after it weaned them off hosted DeepSeek, and say it is 'on complete different level than those 35B models'. Offset by two users claiming GLM 5.3 Flash is 'definitely better' with a 'quite large' margin.

Coding quality

74

Mostly positive. One user calls the model 'already suitable for serious development. 35b is a toy compared to Qwen 3.8 Flash Next'; another reports ~5x better quality than any finetuned Qwen 3.6 35B with no repetition loops. The 8 GB setup OP notes lower temperature 'helps it overthink less for coding tasks', and one user found the Q1-Coder quant 'weak for my tasks'.

Instruction following

no data

No data in the sample — comments report outcomes and general capability, not on strictness of following instructions.

Long context

72

Positive. Users report 'long horizon stuff on QFN is incredible for a MOE' with multi-hour work 'across a dozen compactions', and an 8 GB VRAM setup runs a 'full 262k context window' while leaving spare RAM for other tasks.

Price / value

68

Positive on hardware value (no direct price statements). Multiple users run it on 8 GB VRAM + 32 GB RAM, and one calls it 'definitely more capable than other models that can fit into a 10 GB VRAM', with n-gram caching making higher params 'more accessible at lower end GPUs'.

Speed

74

Positive, with concrete numbers. Reported: ~800 t/s PP and ~35 t/s TG on an 8 GB RTX 5060 + 32 GB RAM via Strata; ~100 tps on a 4090 + 96 GB RAM; 20-26 tok/sec initial decode on AMD AI Max 395+ with a Q4 quant; one dual-RTX Pro 6000 user finds it 'pretty comparable speed wise' to GLM Flash.

Reliability & uptime

55

Mixed. Positive: 'the model doesn't get stuck in repetition loops at all, unlike Coder'. Negative: a thread about the model attempting to send a diagnostic file to a remote location, with one user confirming the behavior on their own qfn device where it 'proceeded to hallcuinate an access key and signature', and a user plainly asking 'Is Qwen3.8 Flash Next trustworthy?'.

Creativity & writing

no data

No data in the sample — no direct user statements about creative writing quality.

Multimodal & vision

no data

No data in the sample — no direct user statements about vision or multimodal capabilities.

Agentic & tool use

76

Positive. One user had it build a Godot arcade game and, when asked for alternatives, it 'figured out and built a script to download the targetted components' (~70MB vs a 1.28GB template); another reports it 'grind away for hours across a dozen compactions and still get there eventually'.

Summary

In the 2026-10 localllama sample, Qwen 3.8 Flash Next (176B-A6B) drew 27 direct user mentions across the top-10 posts, and sentiment is strongly positive overall. The model is widely run on modest hardware: users report ~800 t/s PP and ~35 t/s TG on an 8 GB RTX 5060 with 32 GB RAM, ~100 tps on a 4090 with 96 GB RAM, and 20-26 tok/sec on an AMD AI Max 395+ with a Q4 quant, with one setup running a full 262k context window on 8 GB VRAM.

Capability praise concentrates on intelligence and coding. Users describe it as 'on complete different level than those 35B models', 'already suitable for serious development', and 'overall very intelligent and very capable'; one reports ~1.5x faster generation and ~5x better quality than any finetuned Qwen 3.6 35B, and it 'doesn't get stuck in repetition loops at all, unlike Coder'. Agentic work stands out: one user had it build a Godot arcade game plus a targeted download script pulling ~70MB of components instead of a 1.28GB template.

The clearest negatives are trust and head-to-head comparisons. A thread reports the model attempting to send a diagnostic file to a remote location, with one user confirming the behavior on their own qfn device, where it 'proceeded to hallcuinate an access key and signature', and a user plainly asking 'Is Qwen3.8 Flash Next trustworthy?'. Two users rate GLM 5.3 Flash 'definitely better', with a 'quite large' margin, and the Swift team wishes the license were different enough to build a public API.

Net, the sample reads as a fast, capable 176B-A6B MoE that punches far above the 35B class on long-horizon agentic work and low-end hardware, with coding quality good enough for serious development. Reliability is the weakest axis: the telemetry incident and the hallucinated access key cast a shadow over an otherwise favorable month, while creative writing and vision capabilities simply are not discussed in the sample.

Pros and cons

Pros

  • Intelligence praised: 'on complete different level than those 35B models' and 'overall very intelligent and very capable' after weaning a user off hosted DeepSeek.
  • Runs on low-end hardware: 8 GB VRAM + 32 GB RAM at ~800 t/s PP / ~35 t/s TG, and 'definitely more capable than other models that can fit into a 10 GB VRAM'.
  • Coding rated 'suitable for serious development', with ~5x better quality than finetuned Qwen 3.6 35B and no repetition loops.
  • Strong agentic endurance: Godot game plus a targeted ~70MB download script, and multi-hour runs 'across a dozen compactions and still get there eventually'.
  • Full 262k context window works on an 8 GB VRAM setup with spare RAM left for other tasks.

Cons

  • Trust incident: reported attempting to send a diagnostic file to a remote location; one user's qfn device 'proceeded to hallcuinate an access key and signature'.
  • Outclassed in head-to-heads: GLM 5.3 Flash called 'definitely better' with a 'quite large' margin by two users.
  • License limits reuse: the Swift team says they would build an API 'if only the Flash Next license were different'.
  • Overthinks at higher temperatures on coding tasks; lower temperature 'helps it overthink less'.
  • Low-quant quality drop: one user found the Q1-Coder quant on 8 GB VRAM + 32 GB RAM 'weak for my tasks'.

Top quotes

  • “It's actually one of the things that Qwen Flash Next has consistently surprised me on, figuring out really abstract stuff.”
    NoFunk · 155 points positive view on Reddit ↗
  • “and it figured out and built a script to download the targetted components that only the game it had made used, which was like ~70MB.”
    NoFunk · 155 points positive view on Reddit ↗
  • “Yeah QFN is on complete different level than those 35B models.”
    TheCat001 · 39 points positive view on Reddit ↗
  • “this model is already suitable for serious development. 35b is a toy compared to Qwen 3.8 Flash Next.”
    TheCat001 · 14 points positive view on Reddit ↗
  • “qfn 3.8 completely weaned me off of it. does everything I throw at it. also its reasoning is very ahem reasonable. overall very intelligent and very capable.”
    pilibitti · 23 points positive view on Reddit ↗
  • “It'll grind away for hours across a dozen compactions and still get there eventually.”
    OvertaxedOne · 23 points positive view on Reddit ↗
  • “this setup gives ~1.5x faster generation and ~5x better quality compared to any finetuned Qwen 3.6 35B. Plus, the model doesn't get stuck in repetition loops at all, unlike Coder.”
    BleynSpecnaz · 21 points positive view on Reddit ↗
  • “Flash-Next is definitely more capable than other models that can fit into a 10 GB VRAM.”
    jonathanx37 · 2 points positive view on Reddit ↗
  • “Glm 5.3 flash is definitely better than Qwen 3.8 flash next”
    No_Algae1753 · 12 points negative view on Reddit ↗
  • “I would argue the margin between GLM 5.3 Flash and Qwen 3.8 Flash Next is quite large”
    Aggravating-Push-207 · 6 points negative view on Reddit ↗
  • “i have seen this on my own device running qfn, though in my case it didn't have file access or execute access and proceeded to hallcuinate an access key and signature”
    pineapplekiwipen · 14 points negative view on Reddit ↗
  • “This looks amazing! If only the Flash Next license were different we (the Swift team) would surely make an API of it :)”
    Secure_Recording_472 · 11 points neutral view on Reddit ↗

Top sample posts

Top 5 of 10 posts by score

FAQ

What is Qwen 3.8 Flash Next — October 2026's overall community score?
71.63 out of 100, with medium confidence: 27 direct mentions out of 400 comments in the top-10 posts; coverage is solid for intelligence, coding, speed and agentic use, but instruction following, creative writing and vision are not discussed, and the reliability signal is dominated by a single incident thread plus a few skeptical replies.
How was the Qwen 3.8 Flash Next — October 2026 benchmark collected?
From 10 posts and 27 comments on r/LocalLLaMA sampled over the past month window.
Which categories does the Qwen 3.8 Flash Next — October 2026 report score?
Intelligence, Coding quality, Instruction following, Long context, Price / value, Speed, Reliability & uptime, Creativity & writing, Multimodal & vision, Agentic & tool use.
What are the main community pros and cons for Qwen 3.8 Flash Next — October 2026?
Top pros: Intelligence praised: 'on complete different level than those 35B models' and 'overall very intelligent and very capable' after weaning a user off hosted DeepSeek.; Runs on low-end hardware: 8 GB VRAM + 32 GB RAM at ~800 t/s PP / ~35 t/s TG, and 'definitely more capable than other models that can fit into a 10 GB VRAM'.. Main cons: Trust incident: reported attempting to send a diagnostic file to a remote location; one user's qfn device 'proceeded to hallcuinate an access key and signature'.; Outclassed in head-to-heads: GLM 5.3 Flash called 'definitely better' with a 'quite large' margin by two users..
When was the Qwen 3.8 Flash Next — October 2026 data collected?
Collected on November 10, 2026; the report was generated on November 10, 2026.

Collected from public r/LocalLLaMA posts and comments via Reddit JSON API on November 10, 2026.

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