Models
Vikasit Code hosted models + open-source Vikasit AI model family.
Vikasit Code ships with 5 curated hosted AI models — all available on every subscription plan. You can also run the open-source Vikasit AI models yourself via Ollama or HuggingFace for local or self-hosted inference.
Hosted models
These are served by Vikasit Code’s Pro API (vikasit.ai/zen/v1). Every plan gets access to every model; plans differ only in rate-limit budget.
| Model ID | Description | Best for |
|---|---|---|
vikasit-3-flash | Snappy, low-latency daily driver | Short chat, simple completions, quick questions |
vikasit-3 | Balanced workhorse — the default | General-purpose coding, refactors, explanations |
vikasit-3-coder | Coding-specialist with large context | Multi-file refactors, agent loops, debug sessions |
vikasit-3-fast | Reasoning / thinking-mode model | Architecture decisions, complex problem-solving |
vikasit-3-max | Flagship — Claude-class quality | Hardest problems, long-horizon planning |
The default model is vikasit-3. Most users get the best cost/quality ratio by staying on the default and escalating to vikasit-3-max only when needed.
vikasit-3-flash
Fast, light, and cheap. Ideal for simple tasks where you need a response in under a second.
- Context: 128K
- Use when: Quick questions, snippet generation, simple completions
- Model ID:
vikasit-3-flash
vikasit-3
The default daily driver. Strong quality for general coding work, and the most token-budget-friendly option in the lineup.
- Context: 128K
- Use when: General development, explanations, small-to-medium edits
- Model ID:
vikasit-3
vikasit-3-coder
Purpose-built for coding agents with a large context window for multi-file understanding.
- Context: 256K
- Use when: Multi-file refactors, agentic coding, debugging long traces
- Model ID:
vikasit-3-coder
vikasit-3-fast
Thinking-mode model for tasks that need deliberate reasoning before responding.
- Context: 128K
- Use when: Architecture decisions, reasoning through complex problems
- Model ID:
vikasit-3-fast
vikasit-3-max
The flagship model — comparable to Claude Sonnet 4.6 on real-world coding benchmarks.
- Context: 128K+
- Use when: The hardest problems, mission-critical refactors, quality-above-all tasks
- Model ID:
vikasit-3-max
Select a model
Once your account is configured, list available models with:
/modelsPick one that matches your task. If unsure, stay on the default vikasit-3.
Set a default
Add the model key to your Vikasit Code config:
{ "$schema": "https://vikasit.ai/config.json", "model": "vikasit-ai/vikasit-3"}The format is vikasit-ai/<model-id>.
Small model for background tasks
Vikasit Code uses a separate lightweight model for background jobs like session titles. Configure with small_model:
{ "$schema": "https://vikasit.ai/config.json", "small_model": "vikasit-ai/vikasit-3-flash"}By default, Vikasit Code uses vikasit-3-flash for these tasks.
Loading order
When Vikasit Code starts, it picks a model in this priority:
- The
--modelor-mCLI flagTerminal window vikasit --model vikasit-ai/vikasit-3-coder - The
modelkey in config - The last-used model
- Internal default (
vikasit-3)
Plan and access
All 5 hosted models are available on every subscription plan (Lite $10, Pro $50, Max $100). Plans differ only in rate-limit budget. Learn more about plans.
Open-source Vikasit AI models
Want to run inference yourself? The full Vikasit AI model family is open-source and available on Ollama and HuggingFace. 18 models total spanning small-footprint nano variants up to 35B-parameter mixture-of-experts, including code-specialist and vision-capable versions.
General text models
| Model | Size | Ollama | HuggingFace |
|---|---|---|---|
| Vikasit Nano | ~1B | Vikasit-AI/nano | vikasit-ai/Vikasit-AI-Vikasit-Nano |
| Vikasit Mini | ~1.7B | Vikasit-AI/mini | vikasit-ai/Vikasit-AI-Vikasit-Mini |
| Vikasit 2B | 2B | Vikasit-AI/2b | vikasit-ai/Vikasit-AI-Vikasit-2B |
| Vikasit 4B | 4B | Vikasit-AI/4b | vikasit-ai/Vikasit-AI-Vikasit-4B |
| Vikasit 3.5 4B | 4B | Vikasit-AI/3.5-4b | vikasit-ai/Vikasit-AI-Vikasit-3.5-4B |
| Vikasit 8B | 8B | Vikasit-AI/8b | vikasit-ai/Vikasit-AI-Vikasit-8B |
| Vikasit 14B | 14B | Vikasit-AI/14b | vikasit-ai/Vikasit-AI-Vikasit-14B |
| Vikasit 27B | 27B | Vikasit-AI/27b | vikasit-ai/Vikasit-AI-Vikasit-27B |
| Vikasit 32B | 32B | Vikasit-AI/32b | vikasit-ai/Vikasit-AI-Vikasit-32B |
| Vikasit 30B MoE | 30B-A3 | Vikasit-AI/30b-moe | vikasit-ai/Vikasit-AI-Vikasit-30B-MoE |
| Vikasit 35B MoE | 35B-A4 | Vikasit-AI/35b-moe | — |
Coding-specialist models
| Model | Ollama | HuggingFace |
|---|---|---|
| Vikasit 3 Flash | Vikasit-AI/3-flash | vikasit-ai/Vikasit-AI-Vikasit-3-Flash |
| Vikasit 3 Coder | Vikasit-AI/3-coder | vikasit-ai/Vikasit-AI-Vikasit-3-Coder |
Vision models
| Model | Ollama | HuggingFace |
|---|---|---|
| Vikasit Vision 2B | Vikasit-AI/vision-2b | vikasit-ai/Vikasit-AI-Vikasit-Vision-2B |
| Vikasit Vision 4B | Vikasit-AI/vision-4b | vikasit-ai/Vikasit-AI-Vikasit-Vision-4B |
| Vikasit Vision 8B | Vikasit-AI/vision-8b | vikasit-ai/Vikasit-AI-Vikasit-Vision-8B |
Writer models
| Model | HuggingFace |
|---|---|
| Vikasit 0.5B Writer | vikasit-ai/Vikasit-AI-0.5B-Writer |
| Vikasit 0.8B Writer | vikasit-ai/Vikasit-AI-0.8B-Writer |
| Vikasit Writer | Vikasit-AI/writer |
Run one locally in 2 minutes
Install Ollama, then pick any model:
ollama pull Vikasit-AI/3-coderollama run Vikasit-AI/3-coderPoint Vikasit Code at your local Ollama instance:
{ "$schema": "https://vikasit.ai/config.json", "model": "ollama/Vikasit-AI/3-coder", "provider": { "ollama": { "npm": "@ai-sdk/openai-compatible", "api": "http://localhost:11434/v1" } }}All Vikasit AI models are licensed permissively — use them commercially, fine-tune them, self-host them at any scale.