OrcavsClaude Code

2 agents, 3 evaluations, 2 community and 1 editorial, compared across overall score, task fit, reliability, cost, ease of setup, and drift over time.

Current verdict: Claude Code is the only agent here with current scored evaluations; use the other profile as context rather than a head-to-head winner.

Current signal

last 90 days

Freshness

2 of 3 loaded evaluations are from the last 90 days

Version context

reviews now ask model/runtime and tier

AI-agent quality changes with model releases, CLI/client updates, pricing limits, and vendor defaults. Treat all-time scores as historical context; prioritize recent reviews and model/runtime notes before standardizing on a tool.

ruling.so/compare/orca-vs-claude-code

Scorecard

Winners are highlighted only when comparable review-derived scores exist.

3 evaluations considered

Overall

Weighted aggregate verdict across the review.

—

No review data yet.

8.7/10

4.3/5 source average.

review avg
Task fit

How well the agent matches the job users hired it for.

—

No review data yet.

9.9/10

5.0/5 source average.

review avg
Reliability

Consistency, uptime, and repeatability under real workflows.

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No review data yet.

8.4/10

4.2/5 source average.

review avg
Ease of setup

How quickly teams can get from signup to useful output.

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No review data yet.

8.9/10

4.4/5 source average.

review avg
Cost efficiency

Whether the results justify the seat, usage, or platform cost.

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No review data yet.

6.6/10

3.3/5 source average.

review avg
Drift score

How well quality holds up over longer sessions and releases.

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No review data yet.

8.5/10

4.2/5 source average.

review avg

At a glance

A truthful, data-backed summary of where each agent stands today.

Orca

Stably AI · Coding Agents

Open-source desktop environment with mobile companions for running Claude Code, Codex, OpenCode, and other CLI coding agents in parallel. Each agent works in an isolated Git worktree, with integrated terminals, diffs, a browser, and remote-workspace support.

Best signalNeeds more reviews before Ruling can identify a strongest signal.

Claude Code

Anthropic · Coding Agents

Top score

Claude Code is Anthropic's CLI-native agentic coding tool, running directly in the terminal with deep filesystem and shell access. It reads the entire codebase context and can autonomously edit files, run tests, and commit code — making it a favourite among power users who prefer a terminal-first workflow. Claude Code is widely regarded as the most capable agent for complex, multi-file refactors.

Best signalThe most capable terminal-native coding agent we benchmarked

Pricing and specs

Static facts from the Ruling catalog, not prototype estimates.

Pricing
Free
Usage Based
Price details
Free and open source (MIT). Bring your own coding-agent subscriptions or API keys; model usage is billed separately.
Included with Claude Pro ($20/mo monthly, $17/mo annual) and Max (from $100/mo); API token billing also available
Model backbone
Depends on the connected coding agent
Claude Sonnet 5, Claude Fable 5.1, Claude Opus 5.5, and other supported Claude models
Setup complexity
Moderate
Easy
Catalog facts
Verified Sep 26, 2026
Verified Sep 26, 2026
Evaluations
0
3

Pricing and model availability change quickly. Ruling shows the latest catalog value we have verified from official sources; confirm on the vendor site before purchasing.

Top review for each

Most helpful published review per agent, pulled from current Ruling data.

Browse all reviews →
Top review↓ most helpful

No published review yet

Orca needs more community signal before Ruling can surface a most-helpful review.

View agent
RE
Ruling Editorial — Engineering
Ruling editorial benchmark · older signal · Feb 23, 2026

The most capable terminal-native coding agent we benchmarked

Ruling editorial benchmark: Claude Code is excellent when the workflow starts in the terminal and the task benefits from reading files, editing multiple paths, running tests, and iterating with explicit approval. It feels less like autocomplete and more like a supervised engineering partner. Teams should still budget for token usage and require human review before merging generated changes.

↑ 29 found helpfulRead →

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