Model Selection

August 4, 2026 · View on GitHub

Source: https://kiro.dev/docs/cli/chat/model-selection/

Available models

Intelligent model router. ~23% less expensive than direct Sonnet 4. Uses best-in-class LLMs (Claude Sonnet 4 and alike) with smart routing per task.

Claude Opus 4.6 (experimental)

State-of-the-art coding and agentic capabilities. Best for long-horizon tasks, large codebases, complex debugging, deep reasoning. Pro/Pro+/Power tiers.

Claude Opus 4.5

Maximum intelligence for complex specialized tasks, professional SE, advanced agents. Pro/Pro+/Power tiers.

Claude Sonnet 4.5

Best for complex agents and coding. Advanced SWE-bench scores, extended autonomous operation, enhanced reasoning.

Claude Sonnet 4.0

Direct access, predictable behavior, no routing layers.

Claude Haiku 4.5

Fastest model, near-frontier intelligence matching Sonnet 4. 2x+ speed, 1/3 cost. First Haiku with extended thinking.

Cost comparison

ModelCredit UsageExample Cost
Opus 4.62.2x22 credits
Opus 4.52.2x22 credits
Sonnet 4.51.3x13 credits
Sonnet 4.01.3x13 credits
Auto1.0x10 credits
Haiku 4.50.4x4 credits

Switching models

# CLI setting
kiro-cli settings chat.defaultModel claude-opus4.6

# In chat — persist current model as default
> /model set-current-as-default

Preference saved to ~/.kiro/settings/cli.json.

Choosing guide

  • Auto — general dev work, cost efficiency, variable task types
  • Haiku 4.5 — speed-critical, high-volume, real-time apps
  • Sonnet 4.0/4.5 — consistency, model transparency, agent workflows
  • Opus 4.5 — maximum intelligence, professional SE, critical implementations
  • Opus 4.6 — long-running agentic tasks, large codebases, complex debugging