Comparison
Claude Opus 5.5 vs Qwen3.8-Flash-Next
People have published 201 builds with Claude Opus 5.5 and 139 with Qwen3.8-Flash-Next, overlapping in 5 use cases. Claude Opus 5.5 has more games, design, education examples.
Claude Opus 5.5
First model in Anthropic's Claude 5.5 family. Positioned for agentic coding, knowledge work and long tasks; priced at $4/$20 per million input/output tokens, about 30% faster output than Opus 5, and top scores on Anthropic's behavioral alignment audit.
- 201
- Entries
- 186
- Creators
- X, Reddit, GitHub
- 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 caseClaude Opus 5.5Qwen3.8-Flash-Next
Games
Design
Education
Agents
Coding
Qwen3.8-Flash-Next · 4 entriesGVS5H: five Qwen3.8 models matching a frontier model on LiveCodeBench Hard
Top builds with Claude Opus 5.5
- 1Warehouse management software styled like a strategy gameon X:Dilum Sanjaya· 24.4K likes

- 2"I'm Upping My P(doom)" music video, full sourceon GitHub:John Heibel· 1.9K stars

- 3Awesome Opus 5.5 Videos (prompt gallery)on GitHub:yihui-dev· 1.5K stars

- 4Opus 5.5 motion-designer showreel from one Max-effort prompton X:Stephan Livera· 17.1K likes

- 512-hour overnight run: Opus 5.5 plus Midjourney and a moodboardon X:anabology· 15.9K likes

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
