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Model quality evolves quickly, and we tune the CLI defaults as the ecosystem shifts. Use this guide as a snapshot of how the major options compare today, and expect to revisit it as we publish updates. This guide was last updated on Thursday, December 4th 2025.

1 · Current stack rank (December 2025)

RankModelWhy we reach for it
1Claude Opus 4.5 (default)Highest quality-and-safety balance; current CLI default for both TUI and exec.
2GPT-5.1-Codex-MaxFast coding loops with support up to Extra High reasoning; great for heavy implementation and debugging.
3Claude Sonnet 4.5Strong daily driver with balanced cost/quality; great general-purpose choice when you don’t need Opus-level depth.
4GPT-5.1-CodexQuick iteration with solid code quality at lower cost; bump reasoning when you need more depth.
5GPT-5.1Good generalist, especially when you want OpenAI ergonomics with flexible reasoning effort.
6Claude Haiku 4.5Fast, cost-efficient for routine tasks and high-volume automation.
7Gemini 3 ProStrong at mixed reasoning with Low/High settings; helpful for researchy flows with structured outputs.
8Gemini 3 FlashFast, cheap (0.2× multiplier) with full reasoning support; great for high-volume tasks where speed matters.
9Droid Core (GLM-4.6)Open-source, 0.25× multiplier, great for bulk automation or air-gapped environments; note: no image support.
We ship model updates regularly. When a new release overtakes the list above, we update this page and the CLI defaults.

2 · Match the model to the job

ScenarioRecommended model
Deep planning, architecture reviews, ambiguous product specsStart with Opus 4.5 (default) for depth and safety. Use Sonnet 4.5 when you want balanced cost/quality, or Codex/Codex-Max for faster iteration with reasoning.
Full-feature development, large refactorsOpus 4.5 for default depth and safety. GPT-5.1-Codex-Max when you need speed plus Extra High reasoning; Sonnet 4.5 for balanced loops.
Repeatable edits, summarization, boilerplate generationHaiku 4.5 or Droid Core for speed and cost. GPT-5.1 / GPT-5.1-Codex when you need higher quality or structured outputs.
CI/CD or automation loopsFavor Haiku 4.5 or Droid Core for predictable, low-cost throughput. Use Codex or Codex-Max when automation needs stronger reasoning.
High-volume automation, frequent quick turnsHaiku 4.5 for speedy feedback. Droid Core when cost is critical or you need air-gapped deployment.
Claude Opus 4.5 is the top-tier option for extremely complex architecture decisions or critical work where you need maximum reasoning capability. Most tasks don’t require Opus-level power—start with Sonnet 4.5 and escalate only if needed.
Tip: you can swap models mid-session with /model or by toggling in the settings panel (Shift+TabSettings).

3 · Switching models mid-session

  • Use /model (or Shift+Tab → Settings → Model) to swap without losing your chat history.
  • If you change providers (e.g. Anthropic to OpenAI), the CLI converts the session transcript between Anthropic and OpenAI formats. The translation is lossy—provider-specific metadata is dropped—but we have not seen accuracy regressions in practice.
  • For the best context continuity, switch models at natural milestones: after a commit, once a PR lands, or when you abandon a failed approach and reset the plan.
  • If you flip back and forth rapidly, expect the assistant to spend a turn re-grounding itself; consider summarizing recent progress when you switch.

4 · Reasoning effort settings

  • Opus / Sonnet / Haiku: Off / Low / Medium / High (default: Off)
  • GPT-5.1: None / Low / Medium / High (default: None)
  • GPT-5.1-Codex: Low / Medium / High (default: Medium)
  • GPT-5.1-Codex-Max: Low / Medium / High / Extra High (default: Medium)
  • GPT-5.2: Low / Medium / High (default: Low)
  • Gemini 3 Pro: Low / High (default: High)
  • Gemini 3 Flash: Minimal / Low / Medium / High (default: High)
  • Droid Core (GLM-4.6): None only (default: None; no image support)
Reasoning effort increases latency and cost—start low for simple work and escalate as needed. Extra High is only available on GPT-5.1-Codex-Max.
Change reasoning effort from /modelReasoning effort, or via the settings menu.

5 · Bring Your Own Keys (BYOK)

Factory ships with managed Anthropic and OpenAI access. If you prefer to run against your own accounts, BYOK is opt-in—see Bring Your Own Keys for setup steps, supported providers, and billing notes.

Open-source models

Droid Core (GLM-4.6) is an open-source alternative available in the CLI. It’s useful for:
  • Air-gapped environments where external API calls aren’t allowed
  • Cost-sensitive projects needing unlimited local inference
  • Privacy requirements where code cannot leave your infrastructure
  • Experimentation with open-source model capabilities
Note: GLM-4.6 does not support image attachments. For image-based workflows, use Claude or GPT models. To use open-source models, you’ll need to configure them via BYOK with a local inference server (like Ollama) or a hosted provider. See BYOK documentation for setup instructions.

6 · Keep notes on what works

  • Track high-impact workflows (e.g., spec generation vs. quick edits) and which combinations of model + reasoning effort feel best.
  • Ping the community or your Factory contact when you notice a model regression so we can benchmark and update this guidance quickly.