For Windows users, the useful distinction is between running locally and running quickly. The company’s technical documentation adds an important detail: its Windows CPU-only test generated 1.95 tokens per second. Offline access is the attraction; workstation-like responsiveness is not a given.
What Windows users need
169Pi’s Alpie Local page lists these Windows requirements:
- Windows 10 or Windows 11, 64-bit.
- At least 8 GB of RAM.
- Approximately 6 GB of disk space.
- An internet connection for the initial download.
The company describes its bundled model as a 5.24 GB, 4-bit build. It says subsequent operation requires no connection, account or synchronization, and that files, prompts and answers remain on the computer. These are vendor assurances, not an independent privacy audit.
The practical takeaway: treat those specifications as an entry point for evaluation, not a promise that every development workload will feel comfortable.
The small download and benchmark model differ
169Pi’s research page identifies Seed as a refinement of Qwen3.5-9B, using supervised fine-tuning and reinforcement learning. It supports text, images and video, offers thinking and non-thinking modes, and lists 2-bit, 3-bit, 4-bit and 16-bit configurations under Apache 2.0.
The launch announcement presents these coding results:
| Benchmark | Alpie Seed | Qwen3.5-9B | Sarvam 30B |
|---|---|---|---|
| SWE-bench Verified | 61.2% | 60% | 34% |
| LiveCodeBench v6 | 72.99% | 65.6% | 70% |
These are company-presented comparisons reported by CXOToday, rather than independent head-to-head findings.
Crucially, 169Pi says its benchmark scores used FP16, while device-speed tests used quantized builds. Competitor scores were drawn from published reports, not uniformly rerun under identical conditions; SWE-bench also used an agent scaffold. The stated 262,144-token context window was not exercised in memory profiling, which stopped at 32K.
That leaves a straightforward evaluation question: how well does the particular downloadable build handle your repository, rather than how impressive does the largest percentage look?
Hardware performance needs context
CXOToday’s launch report lists approximately 20 tokens per second on a 6 GB RTX 3050 laptop, 14 on a 16 GB MacBook M2, 9.6 on an iPhone 17 Pro, 5.9 on a Samsung Galaxy Z Flip8 and 110 on an RTX PRO 4500 workstation. All are vendor-reported measurements.
The technical page puts Windows CPU-only generation at 1.95 tokens per second, with 16.74 tokens per second for prompt processing and 5.96 GB peak memory. That result makes “runs without a graphics card” more concrete—but hardly synonymous with “instant.”
Alpie Local: access now, expansion planned
The announcement describes Alpie Local inspecting repositories, editing files, running tests and revising changes. It lists Seed distribution through Hugging Face, Ollama, LM Studio and PocketPal, plus an online playground. Wider Local access was planned for later in November, followed by a VS Code extension, broader desktop automation and offline enterprise deployments. Those remain announced plans, not established delivered features.
The inspected Alpie Local page still presents a waitlist.
A sensible first evaluation
For developers and administrators, the appropriate next step is a controlled pilot:
- Use a disposable repository with representative tests.
- Compare suggested changes with expected results.
- Measure responsiveness on the intended PC.
- Review file permissions and network behavior before introducing confidential material.
Local execution is a deployment choice, not a substitute for acceptance testing. Seed’s most useful promise is greater control over where inference happens; whether that trade-off earns a place on a Windows workstation should be decided by measured results, not launch-day adjectives.