22 Jun 20257 min read

Choosing the Right Model for Local Development

Explyt TeamPublished 22 Jun 2025

Running AI locally can be rewarding—you have full control, no cloud costs, and the flexibility to experiment. But when it comes to agent mode in Explyt, the model you choose will make or break your results.

Small models under 40B parameters may be lightweight and easy to run, but they often fail to deliver in reasoning-heavy workflows.

Why Small Models Fall Short

Agent mode is more than just generating text—it requires multi-step reasoning, tool selection, and structured execution. Models like:

  • deepseek-coder-6.7b
  • starcoder2-7b
  • Qwen3-Coder-30B-A3B-Instruct

may work fine in casual chat tools like LM Studio, but in agent mode they struggle with complex, tool-driven tasks.
Read more: How Agent Mode Boosts Your Workflow

If you need strong local performance in agent mode, go for:

  • 30B+ parameter models
  • Tool use support enabled

Example: qwen3-235b-a22-2507-instruct — large-scale, reliable, and optimized for multi-step tasks.
Learn more about tool use: Tool Use Guide for Explyt

The Easy Route: Explyt Built-In Provider

To skip the trial-and-error process, you can use the built-in Explyt provider. We’ve already selected a proven model that works across all features. Benefits include:

  • No setup—works instantly
  • Free trial before committing
  • Guaranteed compatibility with all Explyt tools

➡ Using Cloud Models in Explyt

When Stuck With Small Models

If hardware limits you to smaller LLMs, we recommend:


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What IDE-native AI feels like

What impressed me most is how well the agent understands the existing project. Its plans fit naturally into what is already built, even when I am working outside my usual tech stack.

Mariya Remenyuk
Mariya Remenyuk

Senior Analyst Developer · DXC Technology

LSP gives an agent coordinates; the full IDE gives it the project model. That native IDE context makes all the difference on real Java code.

Akiner Alkan
Akiner Alkan

Software Architect & AI Board Lead · Siemens

IDE-native stepping makes the difference on stateful Java applications.

Masaood
Masaood

Software Engineer

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