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# Minsore β
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**Minsore** is a company building **small, efficient coding models** that are easy to run **locally** β without massive GPUs or expensive infrastructure.
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We focus on compact models tuned for real developer work: code generation, debugging, agents, and software tasks. Less memory. Cheaper inference. Deploy anywhere β from laptop to cloud API.
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One family. Three scales:
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`0.7B β 1.7B β 3B`
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## Why Minsore
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Big models aren't the only way forward.
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- **Less memory.** Run where large systems can't fit.
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- **Cheaper inference.** Lower cost per task, by design.
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- **Accessible hardware.** No exotic cluster required.
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- **Local + API.** From laptop to production endpoint.
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- **Developer-first.** Built around coding, debugging and software tasks.
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> Intelligence doesn't have to be enormous. Useful intelligence should fit where people need it.
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## Wing family
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A family of compact coding models built to scale with the task.
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| Model | Size | Best for |
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|---|---|---|
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| **Wing Nano** `wing-nano` | ~0.7B | Fast, inexpensive coding assistance, lightweight agents, environments where every GB matters. Low memory, fast inference, ultra-low cost. |
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| **Wing Junior** `wing-junior` | ~1.7B | Everyday coding model for deeper reasoning, debugging, code generation and tool use. Balance of capability and cost. |
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| **Wing Senior** `wing-senior` | ~3B | Most capable Wing model. Advanced coding, complex reasoning, agentic workflows. Compact flagship pushing toward much larger systems quality. |
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Capability grows with scale β no benchmark claims without measured results.
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### Choose your weight class
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- **Wing Nano ~0.7B** β low cost
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- **Wing Junior ~1.7B** β balance
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- **Wing Senior ~3B** β maximum capability
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More capability when you need it. Less hardware when you don't.
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- Run on consumer hardware
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- Quantizable for low-memory setups
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- Ideal for Ollama / llama.cpp / Transformers / vLLM style workflows
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- Prototype locally, deploy cheaply
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## API β Built for cheap inference
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Use Wing through a simple **OpenAI-compatible API** β swap `base_url`, keep your client. No GPUs to manage.
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Planned starting price for `wing-nano`:
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- **$0.02 / 1M input tokens**
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- **$0.09 / 1M output tokens**
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Start on `wing-nano`, upgrade to Junior / Senior without rewrites.
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```python
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from openai import OpenAI
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client = OpenAI(
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base_url="https://api.minsore.com/v1",
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api_key="YOUR_API_KEY"
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)
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response = client.chat.completions.create(
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model="wing-nano",
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messages=[
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{"role": "user", "content": "Write a Python binary search function."}
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]
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)
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print(response.choices[0].message.content)
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```
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## Developer workflow: Prompt β Wing β Code β Test β Fix
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A tight loop, not a black box:
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1. **Generate** β Wing generates code from your prompt and context.
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2. **Verify** β Code runs in a verifier β tests execute, errors are captured.
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3. **Correct** β Failures return to the model. Wing revises the solution.
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## Roadmap
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Staged, not rushed.
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1. **Wing Nano** β In progress β Compact coding intelligence.
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2. **Wing Junior** β A stronger everyday developer model.
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3. **Wing Senior** β The compact flagship.
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4. **Verified Runtime** β Prototype β Generation, testing and automatic correction.
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5. **Minsore API** β Simple, affordable inference for developers.
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---
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---
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pinned: true
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thumbnail: >-
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https://cdn-uploads.huggingface.co/production/uploads/69459fa19b664e4df1b439d7/PsEPX8dxzn3O9luwZB3Mz.png
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---
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# Minsore β We make AI fly.
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Minsore builds small, efficient models for coding that are easy to run locally β no clusters, no expensive GPUs.
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Our Wing family scales with the task:
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- **wing-nano ~0.7B** β fast, lightweight coding assistance
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- **wing-junior ~1.7B** β everyday coding, debugging, tool use
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- **wing-senior ~3B** β most capable, agentic workflows
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Local-first, developer-first, OpenAI-compatible API.
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> β οΈ All Wing models are currently in training. Weights and demos will be published here once ready.
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