1. Give both systems the same kind of heavy work, and Claude reaches the finish line sooner
This was not a single-question chat test. The jobs required reading long context, moving through multiple steps, making intermediate decisions, and returning substantial work.
Claude Opus 5.5 and GPT-6.1 Sol were run in parallel at roughly medium reasoning effort. This was not a setup where one model was placed in an ultra-light mode while the other was forced to think at maximum depth.
In practice, Claude moved noticeably faster and returned more completed material. GPT-6.1 Sol was not frozen. It kept working, but the feeling was: slowly, steadily, still moving.
For one-off questions, a few seconds or minutes do not matter much. For long-running agents, wall-clock time compounds. Ten extra minutes repeated twenty times becomes more than three hours.
A model can win an abstract benchmark and still lose the workday if another model completes two more useful jobs before dinner.
2. Then the usage meters read roughly 31% versus 3%
The more dramatic difference was the allowance meter.
After about an hour of comparable parallel activity, ChatGPT showed 69% remaining, suggesting roughly 31% had been consumed. Claude showed about 3% consumed.
The tempting calculation is 31 divided by 3: about 10.3.
But “Claude is 10.3 times more cost-efficient” would be an invalid conclusion. The percentages do not share the same denominator. Subscription pools, five-hour windows, weekly limits, model multipliers, feature accounting, and internal metering differ.
This is not apples versus apples.
It may be a fuel gauge versus the remaining time at a buffet.
Still, it is meaningful operational evidence. When similar work runs on the same day, one meter barely moves while the other visibly drains—and the slower-draining system is also finishing faster—that matters to the person paying the bill.
It is weak as a universal scientific claim and strong as a purchasing signal.
3. Then OpenAI added a new cost: “Selected model is at capacity”
Next came:
Selected model is at capacity. Please try a different model.
The allowance was already dropping faster. Then the road itself became congested.
The observed wait was about 30 seconds.
Thirty seconds alone is not a disaster. But long-running work is hurt by interruptions: retrying, checking state, switching models, and making a human return to the screen.
The same error text has also been reported in the OpenAI Developer Community by Pro users who said they still had usage remaining. That matters because quota exhaustion and provider-side model capacity are different failure modes.
A large allowance is less valuable if the model is unavailable exactly when you need it.
So the comparison spreadsheet now needs another column: availability when requested.
4. Anthropic’s description of Opus 5.5 points in the same efficiency direction
Anthropic released Claude Opus 5.5 on September 22, 2026 and says typical token-billed workloads cost about 40% less to run than Opus 5.
The company also emphasizes completing work with fewer tokens, steps, and tool calls. Claude Code additionally offers a Fast mode advertised at up to 2.5 times the speed under its own conditions.
The observation above was not a controlled Fast-mode benchmark, so the official 2.5x number should not be pasted onto it.
The larger point is more useful: speed is not only characters per second.
Fewer wrong turns are speed.
Fewer retries are speed.
Fewer unnecessary tool calls are speed.
Reaching the destination in fewer agentic steps is speed.
For long jobs, that kind of efficiency can dominate.
5. OpenAI’s $200 Pro economics are also changing
As of September 30, OpenAI’s public Help Center still refers to Pro $200 as Pro 20x.
A separate current OpenAI Help page, however, says eligible existing subscribers keep the previous included usage through October 29, 2026 and then move to a lower included allowance while the $200 monthly price stays unchanged.
Business Insider and shared subscriber notices report the concrete transition as Work/Codex moving from 20x to 10x Plus allowance and GPT-6 Pro chat dropping from 200 to 100 messages per week.
So the clean way to describe the current state is:
The public Help Center still contains the 20x label.
The transition notices say affected users move to a lower allowance after October 29.
OpenAI simultaneously introduced Pro 500 with the highest usage tier and GPT-6 Astra Ultrafast.
The ceiling went up.
The $200 shelf got lighter.
That is not invisible to people who actually use the capacity.
6. The 62,500-credit grant is substantial, but temporary
Subscriber notices shared publicly describe a one-time grant of 62,500 usage credits, said to be worth $2,500, expiring December 31, 2026.
That is a major transition benefit.
It is not the same as a permanent improvement in monthly value.
Temporary credits can make October through December feel extremely generous. Once they are spent or expire, the recurring economics are still determined by the monthly price and recurring allowance.
A giant resupply crate arrived.
Great.
Next year’s logistics are still next year’s logistics.
The clean comparison is what $200 buys after the promotional balance is gone.
7. The real benchmark is completed useful work divided by money and interruption
For heavy users, the useful metrics are now:
- accepted tasks completed per wall-clock hour;
- accepted tasks completed per 1% of included allowance;
- accepted tasks completed per dollar;
- human correction time;
- time lost to capacity waits, retries, and model switching;
- probability that a long job finishes without interruption.
A more practical formula is:
Effective value = accepted finished work / (subscription cost + top-ups + human correction time + waiting and retry cost)
An AI subscription is not a bottle of luxury wine.
It is a power tool.
Peak torque matters, but so do battery life, thermal shutdowns, and whether the tool says “capacity full, try another drill” when you pull the trigger.
8. Claude looks like the better primary worker today—but users still need OpenAI in the price war
One observation does not prove Claude wins every workload.
GPT-6.1 Sol has a roughly 1.05-million-token context window, OpenAI’s tool ecosystem, and much lower API pricing than GPT-6 Astra. OpenAI positions it as near-Astra performance for complex coding, computer use, and professional work at lower cost.
The issue is not that the model is bad.
The issue is that the total subscription economics can look weak when Claude finishes comparable work faster, consumes a smaller visible fraction of its allowance, and OpenAI also produces capacity waits while reducing the recurring $200 allowance.
That makes a short-term shift toward Claude rational.
But a total OpenAI retreat would be bad for customers too.
If heavy users consolidate around one provider, the winner faces less pressure to preserve generous limits. Anthropic explicitly says Max usage can also be constrained by weekly, monthly, model, or feature limits to manage capacity.
The best customer outcome is not “Claude stays generous forever.”
It is Claude improving, OpenAI countering, Google and others pushing harder, and everyone fighting over price-performance.
Commercially.
Peacefully.
Relentlessly.
Conclusion
The current observation favors Claude Opus 5.5 for long-running throughput and apparent allowance efficiency.
The 31%-versus-3% meter reading is not a universal 10.3x claim because the denominators differ.
But once you add OpenAI’s changing $200 allowance, the temporary 62,500-credit transition cushion, and a real “model is at capacity” wait, the decision metric becomes obvious:
The best AI subscription is the one that completes the most useful work before the month ends, with the least waiting.
Claude can lead today.
OpenAI should keep fighting.
Because if one provider wins completely, the next “optimization” may be applied to the customer’s wallet.
AI companies: please keep the price war peacefully brutal.
Sources checked September 30, 2026
- OpenAI Help Center — About ChatGPT Pro tiers
https://help.openai.com/en/articles/9793128-about-chatgpt-pro-tiers - OpenAI Help Center — Pro $200 lower included usage / grandfathering through Oct 29
https://help-lb.openai.com/en/articles/9793128-about-chatgpt-pro-tiers - OpenAI API — GPT-6.1 Sol
https://developers.openai.com/api/docs/models/gpt-6.1-sol - Anthropic — Claude Opus 5.5
https://www.anthropic.com/claude-opus-5-5 - Claude Help Center — What is the Max plan?
https://support.claude.com/en/articles/11049741-what-is-the-max-plan - OpenAI Developer Community — capacity-error reports with usage remaining
https://community.openai.com/t/request-for-account-review-pro20x-subscription-experiencing-capacity-errors-and-significant-performance-degradation/1400068 - Business Insider — Pro 500 launch and reported Pro 200 allowance reduction
https://www.businessinsider.com/chatgpt-new-plan-pro-500-cost-compute-allowance-2026-9
