Comparison
Jev vs Qwen3.8-Flash-Next
People have published 180 builds with Jev and 139 with Qwen3.8-Flash-Next, overlapping in 5 use cases. Jev has more coding, agents, games examples.
Jev
Jev is TypeSafe AI's first public System One decision model: it answers closed questions (labels, yes/no, scores, choices) with structured output in milliseconds for a fraction of a cent, rather than generating prose.
- 180
- Entries
- 164
- Creators
- X, GitHub, Web
- Top source
Qwen3.8-Flash-Next
Open-weight 125B-parameter multimodal MoE (about 6B active, plus a 51B n-gram embedding table) from Alibaba's Qwen team, an early preview of the Qwen4 architecture. Its n-gram table can sit in system RAM or on SSD, which let community engines such as Strata run it on gaming PCs and Macs.
- 139
- Entries
- 131
- Creators
- GitHub, Reddit, X
- Top source
Same use case, side by side
Use caseJevQwen3.8-Flash-Next
Coding
Qwen3.8-Flash-Next · 4 entriesGVS5H: five Qwen3.8 models matching a frontier model on LiveCodeBench Hard
Agents
Games
Design
Education
Top builds with Jev
- 1laya: Non-autoregressive System 1 decision engine. Typed choice, score and yon GitHub:NandhaKishorM· 31.4K starsNandhaKishorM/laya
- 2jev-ultrafast: Fastest and cheapest web agenton GitHub:browser-use· 22.3K stars

- 3kev: Jev-like family of decision models built on top of Qwen3.5/3.8 you canon GitHub:jaredpalmer· 8.6K stars

- 4jev-chat-jarvis: The chat decision assistant: before you reply, Jev reads the chat, judon GitHub:jev-chat· 7.4K stars

- 5fast-jev-compaction: Claude Code plugin that replaces the compaction summary with Jev…on GitHub:tamaratran· 7.5K stars

Top builds with Qwen3.8-Flash-Next
- 1Strata: one-click engine for running the 125B Flash-Next on a gaming PCon GitHub:Niko1221· 16.8K stars

- 2Flash-Next on a single DGX Spark (TP=1)on GitHub:MiaAI-Lab· 594 stars

- 3Halogen: fastest Flash-Next server for AMD Strix Haloon GitHub:peonist-ai· 876 stars

- 4GVS5H: five Qwen3.8 models matching a frontier model on LiveCodeBench Hardon GitHub:slee-persis· 736 stars

- 5From 15 tps on llama.cpp to 65 tps with a home-built engineon X:David Hendrickson· 1.6K likes
