The Short Answer
If you can buy only one AI subscription, start with the $20 plan that matches where you already work. Choose ChatGPT Plus when you want Codex plus broad knowledge work, research, files, plugins, and scheduled workflows. Choose Cursor Pro when most of your day happens inside a code editor. Choose Claude Pro when Opus 5 and Claude's coding judgment are the reason you are subscribing. Choose Devin Pro when asynchronous cloud execution is the job.
Ras Mic's winner is Codex because he sees the strongest combination of capable models, generous included usage, plugins, threads, a built-in browser, Computer Use, and non-coding workflows. That is a useful field verdict, not a universal benchmark. Cursor remains his favorite harness experience, while Fable was his preferred model for the hardest coding work when the video was recorded.
Watch the Comparison
Video and framework credit: Ras Mic. The creator comparison supplies the hands-on preferences. Prices and billing mechanics below were rechecked against official OpenAI, Anthropic, Cursor, and Devin pages on July 26, 2026.
Current Pricing Reality
Subscription pages increasingly combine a monthly fee, an included allowance, product-specific limits, and optional usage-based billing. The monthly price is therefore only the first line of the bill. Prices below are in U.S. dollars before taxes, and vendors can change limits or promotions independently of the advertised tier.
| Product | Individual tiers discussed | What the fee buys | Important limit |
|---|---|---|---|
| ChatGPT + Codex | Plus $20; Pro $100 or $200 | ChatGPT, Codex, Work, plugins, research, files, browser, and more usage at higher tiers. | Codex and other agentic features draw from shared limits or credits. Pro $100 is 5x Plus; Pro $200 is 20x Plus. |
| Claude + Claude Code | Pro $20; Max 5x $100; Max 20x $200 | Claude, Claude Code, Cowork, Opus 5, and higher access to new models and features. | Session and weekly limits remain. Fable uses paid credits on Pro; Max includes it for up to 50% of weekly limits. |
| Cursor | Hobby $0; Pro $20; Pro+ $60; Ultra $200 | Editor, multiple frontier models, Grok and Composer capacity, MCPs, skills, hooks, and cloud agents. | Model choice affects how quickly included usage is consumed. On-demand usage can add charges. |
| Devin | Free; Pro $20; Max $200; Teams from $80 | Cloud sessions, terminal and desktop access, integrations, review, and asynchronous execution. | Pro has daily and weekly quotas; Max has a larger weekly quota. On-demand credits cover overages. |
OpenAI's current Codex rate card is especially important. Most accounts are now mapped to token-based credits rather than a simple message estimate. GPT-5.6 Sol costs twice as many credits per token as Terra and five times as many as Luna. Output-heavy work, fast mode, parallel agents, and repeated long contexts can therefore consume a plan much faster than a short coding task.
Which Plan Fits You?
| Your situation | Start here | Why | Upgrade trigger |
|---|---|---|---|
| Learning or occasional projects | Free plans | Test the interface, repository access, privacy settings, and task fit before paying. | You complete useful work every week and limits interrupt a repeated workflow. |
| Mixed coding and knowledge work | ChatGPT Plus, $20 | One subscription covers Codex, Work, research, files, plugins, Sites, and general assistance. | You consistently exhaust agentic limits on work worth more than $80 per month. |
| Daily editor-first coding | Cursor Pro, $20 | Strong editor ergonomics, model choice, codebase navigation, cloud agents, and an easy local workflow. | Daily agent use exceeds Pro allowance; compare Pro+ at $60 before Ultra. |
| Hard codebase reasoning | Claude Pro, $20 | Best when Claude's planning, code review, or large-change judgment is the capability you value most. | Session or weekly limits regularly interrupt paid work. |
| Asynchronous cloud delivery | Devin Pro, $20 | Useful when agents need isolated computers, integrations, long tasks, and reviewable delivery. | You repeatedly need more cloud runs and can measure accepted autonomous work. |
| Heavy professional use | $60 or $100 tier | A middle tier tests whether more capacity solves the bottleneck without jumping to maximum spend. | Higher limits pay for themselves through accepted output, not merely more experiments. |
| Parallel agents all day | $200 tier after measurement | Maximum plans can make sense for continuous coding, research, or delivery across several active projects. | Keep it only while monthly verified value remains comfortably above total spend. |
Four Harnesses, Four Different Jobs
Codex: the broad workbench
Ras Mic favors Codex for total value. The reason is not only GPT-5.6 Sol. Codex combines threads, plugins, browser control, Computer Use, local projects, research, documents, spreadsheets, presentations, and longer-running goals. That makes the subscription easier to justify across engineering and knowledge work.
The tradeoff is shared consumption. OpenAI says Codex, ChatGPT Work, ChatGPT for Excel, and workspace agents can draw from the same agentic pool. A busy automation or an output-heavy coding session may reduce capacity elsewhere. Ras Mic's practical response is to open a fresh thread for each objective, create focused subthreads when work branches, keep definitions of done explicit, and use Terra or Luna when Sol is unnecessary.
Claude Code: high judgment, tighter capacity
In the recorded comparison, Ras Mic prefers Fable for very large codebases and difficult features while criticizing parts of the Claude Code interface. The current buying picture is different: Opus 5 is now the strongest included Claude model on Pro and the default on Max. Fable remains available, but it is a metered specialist on Pro and consumes a limited share of Max's weekly allowance.
Claude is the better purchase when its planning, review quality, or code taste creates fewer revisions on your actual repository. Do not pay $200 simply because one frontier model wins a benchmark. Pay when it reduces accepted cost or prevents expensive mistakes.
Cursor: the strongest editor experience
Cursor is Ras Mic's favorite harness. It offers local and cloud agents, model choice, SSH workflows, MCPs, skills, hooks, and first-party Grok and Composer capacity. That flexibility is valuable for developers who want one editor but do not want to commit to one model provider.
Cursor's own documentation says Pro includes roughly $20 of API agent usage, Pro+ about $70, and Ultra about $400, plus additional bonus usage. Those are planning figures rather than guaranteed numbers of completed tasks. Model price and context length determine how fast the pool disappears.
Devin: an asynchronous cloud worker
Devin is less like a local pair programmer and more like a managed cloud execution environment. It becomes attractive when a task needs a computer, repository, integrations, long execution, testing, and an artifact or pull request for review.
Official documentation lists Free, Pro at $20, Max at $200, and Teams with an $80 monthly minimum. Pro includes daily and weekly quotas; Max removes the daily cap but retains a weekly allowance. On-demand credits continue work after the quota, so teams should set session budgets and auto-reload limits before enabling autonomous runs.
Route the Model and Effort Level
Ras Mic's practical rule is to use GPT-5.6 Sol for most Codex work, extra-high effort for demanding code, and light or medium effort for ordinary knowledge work. He avoids ultra because it consumes capacity quickly. The broader principle is useful even if your preferred model differs: use the cheapest configuration that reliably clears the acceptance test.
The post-launch Claude route is similar: begin with Opus 5 for difficult planning and implementation, then reserve Fable for the assignments where its extra orchestration or creative judgment has already proved worth the metered cost. A model name is not a routing policy; task difficulty, verification quality, and accepted output are.
| Task | Starting route | Escalate when |
|---|---|---|
| Summaries, extraction, formatting | Fast model; light effort | Required fields are missing or the source is unusually ambiguous. |
| Routine code changes with tests | Balanced model; medium or high effort | Tests fail repeatedly or the change crosses architectural boundaries. |
| Large refactor or unfamiliar codebase | Frontier model; high or extra-high effort | Use a second reviewer before merge rather than blindly increasing effort again. |
| Production incident or security review | Strongest approved model with constrained tools | Require human ownership, logs, rollback, and independent verification. |
| Long autonomous run | Cheaper worker model with checkpoints | Escalate only failed or high-impact decisions to the expensive model. |
Measure Cost per Accepted Task
Tokens, resets, and model allowances are inputs. The business metric is the cost of work that passes review. A cheap model that needs three rewrites can cost more than an expensive model that succeeds once. A beautiful harness can still be poor value if it does not fit the repository, approvals, or delivery process.
Monthly AI value =
(accepted tasks x minutes saved per task x loaded hourly rate / 60)
- subscription fees
- usage overages
- review and correction time
- failure and rework cost
Track for each task:
- harness and model
- effort level
- elapsed time
- human review minutes
- accepted on first review: yes/no
- extra usage cost
- defect or rollback: yes/no
Review this after two weeks. If a $20 plan creates $300 of verified value and limits are stopping more work, test the next tier for one month. If the $200 tier mainly creates more experiments, downgrade.
Stop Accidental Overspend
- Turn off automatic overages first. Enable them only after setting a monthly ceiling and alerts.
- Start new threads for new objectives. Long mixed-purpose contexts waste input tokens and make the agent less reliable.
- Use expensive reasoning selectively. Save maximum effort for architecture, migrations, difficult debugging, and final review.
- Checkpoint long runs. Ask for a plan, test result, or artifact before allowing deployment, sending, purchasing, or destructive changes.
- Review the usage dashboard weekly. Look for one workflow, model, or automation consuming a disproportionate share.
- Keep a fallback. A second free or low-cost model prevents one vendor limit from becoming an operational outage.
Browser and Payment Safety
The most useful warning in the video arrives during the Computer Use demonstration. The agent navigates a checkout flow and approaches the payment fields before Ras Mic stops it. That is exactly where convenience must yield to an explicit approval boundary.
Apply the same rule to email sends, production deployments, account deletion, permission changes, and other one-way actions. Browser access makes a subscription more useful, but it also increases the value of narrow permissions, fresh sessions, visible checkpoints, and a clear stop condition.
Ask Work to Fund a Measured Pilot
Ras Mic closes with a practical suggestion: ask your employer to fund the subscription when it improves your work. Frame it as a controlled productivity experiment, not a personal perk and not guaranteed ROI.
Subject: 30-day AI workflow pilot
I would like to test [PLAN] on one approved workflow:
[WORKFLOW].
For 30 days I will track:
- cycle time before and after
- accepted deliverables
- review and correction time
- defects or rework
- total subscription and usage cost
Controls:
- monthly spend cap: $[AMOUNT]
- approved data and repositories only
- no customer-facing or irreversible actions without review
- cancel or downgrade if the workflow does not create measurable value
At the end of the pilot I will share a short results report and
recommend whether to continue, change tier, or stop.
This approach gives the company a budget, a data boundary, a stop condition, and evidence. It also avoids the loose claim that any subscription automatically makes an employee productive.
Video Chapters
| Time | Topic |
|---|---|
| 00:00 | Why AI cost needs its own comparison |
| 01:31 | Codex, Claude Code, Cursor, and Devin |
| 02:09 | Fable 5 versus GPT-5.6 Sol |
| 03:43 | Included usage, subsidies, and resets |
| 05:04 | Sponsored Blacksmith CI segment |
| 06:51 | Capability versus task cost |
| 07:44 | Comparing the four harnesses |
| 10:20 | Individual plan pricing |
| 12:05 | Codex plugins and knowledge work |
| 14:06 | Built-in browser workflow |
| 16:08 | Computer Use demonstration |
| 17:18 | Threads and context management |
| 18:00 | Model and effort recommendations |
| 19:09 | Asking an employer to fund a pilot |
Bottom Line
Ras Mic is right that Codex currently offers an unusually broad package for one subscription. It is not automatically the best purchase for every developer. Cursor can be the better daily interface, Opus 5 can make Claude the better difficult-code specialist, Fable can justify metered use on exceptional assignments, and Devin can be the better asynchronous cloud worker.
The honest buying rule is simple: start with the smallest plan that completes real work, route routine tasks away from maximum reasoning, cap overages, and upgrade only when accepted output proves the need. The best subscription is the one that replaces measurable labor without creating an invisible second bill.
Sources
- Ras Mic: AI is expensive, which subscription should you get? and Ras Mic on YouTube
- OpenAI: ChatGPT plans
- OpenAI: About ChatGPT Pro tiers
- OpenAI: Codex rate card
- Anthropic: Claude Max plans
- Anthropic: usage credits for paid Claude plans
- Anthropic: Claude Opus 5 and Fable 5 plan access
- Cursor pricing and Cursor plan documentation
- Devin self-serve plans and quotas
- Blacksmith, sponsor of the CI segment in the video