Text / Qwen

Qwen3.8-Flash-Next

An experimental open-weight multimodal model with sparse attention and 262K native context.

Verified sourceRepository opened Aug 24, 2026Source checked 9/23/2026
LOCALRENTED GPUOPEN WEIGHTS
Freshness 82 out of 100. Repository age: 52 days old, Aug 24, 2026. Measures age, not quality.
Popularity 88 out of 100. 2,290,500 downloads in 30 days; 6,235 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Arena Open Source Web coding: rank 3 of 55. Ranked model: qwen3.8-flash-next. Export dated Oct 13, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.
Category rankings & sources

Each position belongs to a separate Arena category. These are human preference rankings—not hardware recommendations. We do not combine the categories into one score.

Web coding#3of 55 open models
qwen3.8-flash-nextalibabaLicense: qwen-community-1.0
Export dated Oct 13, 2026Checked: Oct 15, 2026Overall board: #18
View official Web coding board
Agents#10of 18 open models
Qwen3.8 Flash NextalibabaLicense: qwen-community-1.0
Export dated Oct 14, 2026Checked: Oct 15, 2026Overall board: #38
View official Agents board

Rankings reflect the dated export; live Arena boards can change. Open-source positions use Arena’s open-model filter. The overall position also includes the other models on that category board. Availability of weights and license terms still need to be checked separately.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source
Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method
WORKFLOWS FOR THIS MODEL 3

What do you want to do?

Choose a task. Get the software, files, settings, and steps to run it.

MAKE IT PERSONALChoose your hardware
Coding

Build a coding assistant with Strata (Qwen3.8-Flash-Next Coder)

Run Qwen3.8-Flash-Next through Strata, connect VS Code and Cline, and complete a real coding task. Choose the smaller Coder derivative or a full pack, then follow Windows, Linux or RunPod instructions. Compare actual speed, memory use, and tool results on your own setup.

Freshness 82 out of 100. Repository age: 52 days old, Aug 24, 2026. Measures age, not quality.
Popularity 88 out of 100. 2,290,500 downloads in 30 days; 6,235 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
VS CodeCline
5 packagesWindows / Linux
Open coding guide
AI agent

Build a private AI agent with Qwen3.8-Flash-Next

Run the official high-memory package, connect Hermes to its private Ollama endpoint, and produce a checked project review.

Freshness 82 out of 100. Repository age: 52 days old, Aug 24, 2026. Measures age, not quality.
Popularity 88 out of 100. 2,290,500 downloads in 30 days; 6,235 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Hermes AgentOllama
2 packagesmacOS / Linux
Open agent guide
Coding

Code with Qwen3.8-Flash-Next in VS Code + Cline

Use the base Qwen3.8-Flash-Next checkpoint with VS Code and Cline, review a real code change, and test it. This is separate from the Strata derivative.

Freshness 82 out of 100. Repository age: 52 days old, Aug 24, 2026. Measures age, not quality.
Popularity 88 out of 100. 2,290,500 downloads in 30 days; 6,235 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
VS CodeCline
2 packagesmacOS / Linux
Open coding guide

Open a guide for its software, hardware requirements, and setup steps.

At a glance

Parameters
125B language · 6B active
Architecture
Hybrid sparse attention
Context length
262,144 native
License
Qwen Community License 1.0
Software
vLLM, SGLang, Transformers
View the model source
MY HARDWARE

Will it run on your machine?

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Ways to run it

vLLM · Linux

Qwen documents vLLM and SGLang routes. Use current supported runtime versions and size the full checkpoint and desired context.

vllm serve "Qwen/Qwen3.8-Flash-Next"
Official instructions

Explore its uses

REASONINGMULTIMODALLONG CONTEXT

Keep exploring

Text
Prism ML

Bonsai 2 · 27B

A compressed 27B-class reasoning model with publisher-provided GGUF packs and a dedicated llama.cpp fork for CUDA, Metal, and CPU.

Freshness 90 out of 100. Release age: 28 days old, Sep 17, 2026. Measures age, not quality.
Popularity 90 out of 100. 4,849,199 downloads in 30 days; 2,697 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
MODEL SIZE27.36B
Text
DeepSeek

DeepSeek V4.1 Flash

A multimodal reasoning model with a compressed key-value cache, published as open weights.

Freshness 87 out of 100. Repository age: 35 days old, Sep 10, 2026. Measures age, not quality.
Popularity 84 out of 100. 1,238,583 downloads in 30 days; 4,519 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Arena Open Source Text: rank 5 of 225. Ranked model: deepseek-v4.1-flash-max. Export dated Oct 13, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.+3
Text
Qwen

Qwen3 8B

Qwen3-8B is a causal language model from the Qwen series, developed by the Qwen team. It is an 8.2B parameter model (6.95B non-embedding) with 36 layers and grouped-query attention (32 query heads, 8 key/value heads). The model supports text generation and is designed for both thinking and non-thinking modes within a single model. It has a native context length of 32,768 tokens, extendable to 131,072 tokens with YaRN. The model card highlights advancements in reasoning, instruction-following, agent capabilities, and multilingual support (100+ languages). It is licensed under Apache-2.0 and built on Qwen/Qwen3-8B-Base.

Freshness 13 out of 100. Repository age: 536 days old, Apr 27, 2025. Measures age, not quality.
Popularity 93 out of 100. 9,578,964 downloads in 30 days; 2,119 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
MODEL SIZE8.2B