Orca vs Sunk Cost (2026): Which Vibe Coding App Is Better?

Both are popular terminal coding agents. Here is how Orca and Sunk Cost stack up on price, strengths and weaknesses, and which one we would pick.

Orca

An ADE for running fleets of coding agents in parallel worktrees, from desktop or mobile

8.0 /10

Pricing: Open source

Pros

Runs multiple coding agents in parallel isolated worktrees with diff comparison
Free, open source (MIT), backed by Y Combinator
Mobile companion apps for monitoring/steering agents remotely

Cons

No hosted/managed tier documented — you bring your own agent subscriptions
Extremely fast recent star growth is worth watching, even though the activity looks organic

Visit Orca ↗

Sunk Cost

How long until a local LLM rig pays for itself?

6.5 /10

Pricing: Free

Pros

Free, no signup, no cookies or IP logging
Grounds the "buy hardware and run locally" debate in real numbers: hardware price, power draw and token throughput
Includes a model capability leaderboard and hardware pricing database for context

Cons

A single-purpose calculator, not an actual coding agent or MCP tool
Estimates depend on self-reported hardware/pricing data and usage assumptions

Visit Sunk Cost ↗

Orca vs Sunk Cost at a glance

	Orca	Sunk Cost
Editor score	8.0 / 10	6.5 / 10
Pricing model	Open source	Free
Starting price	Free	Free
Reader upvotes	0	0
Best for	ade, parallel-agents, claude-code	local-llm, cost-calculator, hardware
Agent Skills support	No	No
Subagents support	No	No
MCP support	No	No
AGENTS.md support	No	No
Plugins support	No	No
Hooks support	No	No
Rules support	No	No
Agent skills in this directory	0	0
Subagents & agents in this directory	3	3
MCP servers in this directory	0	0

Our pick

Orca edges it with a score of 8.0 versus 6.5. Orca is the better fit if you value: runs multiple coding agents in parallel isolated worktrees with diff comparison, free, open source (mit), backed by y combinator. Choose Sunk Cost instead if you need: free, no signup, no cookies or ip logging, grounds the "buy hardware and run locally" debate in real numbers: hardware price, power draw and token throughput.