Claude CodevsCodex CLIvsIntercom Fin

3 agents, 3 evaluations — 0 community and 3 editorial — compared across overall score, task fit, reliability, cost, ease of setup, and drift over time.

Current verdict: Claude Code currently leads Codex CLI by 0.4 points on Ruling's 10-point scale; confirm the top-review context before shortlisting.

Current signal

last 90 days

Freshness

1 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/claude-code-vs-codex-cli-vs-intercom-fin

Scorecard

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

3 evaluations considered

Overall

Weighted aggregate verdict across the review.

9.6/10

4.8/5 source average.

9.2/10

4.6/5 source average.

8.6/10

4.3/5 source average.

review avg
Task fit

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

9.8/10

4.9/5 source average.

9.6/10

4.8/5 source average.

9.0/10

4.5/5 source average.

review avg
Reliability

Consistency, uptime, and repeatability under real workflows.

9.2/10

4.6/5 source average.

9.0/10

4.5/5 source average.

8.4/10

4.2/5 source average.

review avg
Ease of setup

How quickly teams can get from signup to useful output.

8.6/10

4.3/5 source average.

8.8/10

4.4/5 source average.

8.2/10

4.1/5 source average.

review avg
Cost efficiency

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

7.8/10

3.9/5 source average.

8.2/10

4.1/5 source average.

7.8/10

3.9/5 source average.

review avg
Drift score

How well quality holds up over longer sessions and releases.

9.4/10

4.7/5 source average.

9.0/10

4.5/5 source average.

8.4/10

4.2/5 source average.

review avg

At a glance

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

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

Codex CLI

OpenAI · Coding Agents

Codex CLI is OpenAI's open-source terminal-based coding agent, positioned as direct competition to Claude Code and Aider. Running in your local terminal, it can read your codebase, write and edit files, and execute shell commands with configurable approval modes. As OpenAI's answer to Anthropic's Claude Code, it's generated significant interest among developers already in the OpenAI ecosystem.

Best signalThe strongest OpenAI-native terminal workflow

Intercom Fin

Intercom · Customer Support Agents

Intercom Fin is an AI customer support agent that handles the full resolution lifecycle — understanding customer queries, searching your knowledge base, taking actions, and escalating to humans when needed. It is deeply integrated into Intercom's customer messaging platform and has achieved industry-leading resolution rates for software companies. Profile coming soon — submit your review if your team is running Fin in production.

Best signalHigh-leverage support automation if your knowledge base is clean

Pricing and specs

Static facts from the Ruling catalog, not prototype estimates.

Pricing
Usage Based
Usage Based
Usage Based
Price details
Included with Claude Pro ($20/mo monthly, $17/mo annual) and Max (from $100/mo); API token billing also available
OpenAI API tokens; roughly $0.002–$0.02 per task depending on model
$0.99 per resolution; Intercom plan required
Model backbone
Claude Sonnet 5, Claude Opus 5, Claude 4.x family
GPT-4.1, o4-mini
GPT-4o, proprietary Intercom models
Setup complexity
Easy
Easy
Easy
Catalog facts
Verified Aug 21, 2026
Verified Aug 21, 2026
Verified Aug 21, 2026
Evaluations
1
1
1

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
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.

28 found helpfulRead →
RE
Ruling Editorial — Engineering
Ruling editorial benchmark · last 30 days

The strongest OpenAI-native terminal workflow

Ruling editorial benchmark: Codex CLI is a strong terminal agent for developers who want repository inspection, file edits, command execution, and approval controls in the OpenAI ecosystem. The open-source client and rapid release cadence make the workflow inspectable and actively maintained. Teams should still control sandbox permissions, review generated changes, and track model or subscription costs on long-running tasks.

27 found helpfulRead →
RE
Ruling Editorial — Operations
Ruling editorial benchmark · older signal · May 6, 2026

High-leverage support automation if your knowledge base is clean

Ruling editorial benchmark: Intercom Fin is one of the strongest vertical agents for SaaS support teams because it sits inside an existing customer messaging workflow and can escalate to humans. The biggest dependency is knowledge quality: messy docs produce messy automation. Teams with clean support content can see meaningful deflection while maintaining customer trust.

23 found helpfulRead →

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