GPT-6.1 Sol Costs About 30% Less Per Task Than GPT-6 Sol

Key Highlights

Artificial Analysis data shows GPT-6.1 Sol has a Cost per Task of about 0.72 dollars, roughly 30 percent below GPT-6 Sol at 1.05 dollars, and GPT-6 Sol was already about half of GPT-5.6 Sol at 1.99 dollars. Three Sol-tier generations in a row cut price, pushing the value tier's per-task cost down to 0.72 dollars and continuing the trend of front-tier models getting far cheaper per unit of work rather than only racing on peak capability that few production calls actually need.

The Numbers

Cost per Task is Artificial Analysis's uniform measure of what a model spends on a real task, closer to what it costs to get one thing done than a bare token price. GPT-5.6 Sol was 1.99 dollars, GPT-6 Sol fell to 1.05, about half, and GPT-6.1 Sol dropped again to 0.72, another roughly 30 percent. The cumulative cut across three same-tier generations is clear and shows the value tier is getting cheap fast, instead of vendors only pouring effort into the flagship while the affordable tier stagnates and quietly gets more expensive in real terms.

Technical Details

Sol is OpenAI's value inference tier aimed at controlling cost on daily tasks. Falling cost per task usually comes from inference efficiency, such as shorter thinking, better routing, and smaller models catching easy calls, plus infrastructure savings. AA tests on a uniform task set so generations compare. For developers, Cost per Task deserves more attention than context price, because it directly sets the bill when you call the model at volume across thousands of routine requests that each look tiny but sum to a budget.

Comparison with Competitors

The Sol tier keeps cutting price, directly targeting other vendors' value tiers. GPT-6.1 Sol at 0.72 dollars per task is attractive for volume business. Against the same-generation flagship's high price, Sol makes cheap tier for daily tasks the default strategy. For domestic models, price-performance is already the main battlefield, and Sol's drop signals global front-tier players also use price cuts to grab volume, not only stack peak scores that impress a benchmark and barely move a real invoice.

Industry Impact and Use Cases

For high-frequency, low-difficulty tasks like support, summarization, classification, and drafts, the Sol cut means materially lower scale cost, so even small teams can run many calls. For product pricing, the cheap tier makes per-task billing more sustainable. For the industry, front-tier price cuts pass through to downstream APIs and kits, forcing both closed and open to compete on price-performance, ultimately benefiting every caller who pays per task and resents a vendor that prices simple work like expert work.

Data and Methodology

The data is Artificial Analysis's Cost per Task, an independent third-party measure more comparable than vendor token prices. But the definition of a task follows AA's task set and may not equal your real task cost; the cross-generation cut uses the same lens, so the trend is credible while the absolute number needs review against your workload. Keep the per-AA qualifier and do not present 0.72 as one uniform price for every business, because a support bot and a research agent do not cost the same per task on anyone's meter.

Risks and Limitations

The cheap tier may use shorter thinking or simpler routing, and complex-task quality can trail the flagship, so do not push all traffic to Sol. Cost cuts may also trade off speed, concurrency, or features. Cross-border OpenAI use needs compliance and data-export review. Compare on the whole package, unit price, quality, speed, and compliance, not only cost per task. Treat the cut as opportunity and the quality boundary as constraint, because a model that is cheap and wrong costs more than one that is pricey and right on a task that matters.

Market Position

GPT-6.1 Sol positions as value-tier price-performance, using consecutive cuts to push daily-task cost to 0.72 dollars and leading on volume and scale. For heavy-call business it is the cost-cut first choice; for OpenAI it locks the developer entry with a low tier against open and rival offers. On the price-performance field, Sol's drop makes cheap and good enough a sharp selling point that squeezes same-tier rivals who cannot match the number without hurting their own margin on the tier everyone actually buys.

Extended Observation

Front-tier competition is shifting from who is strongest to who is cheaper and good enough. Uniform lenses like Cost per Task will become a core selection metric. When the value tier is strong enough, many daily tasks need no flagship and compute gets allocated more efficiently. Model makers will more likely use tiered pricing to harvest different budgets, and the steady rise of the cheap tier keeps compressing the logic of paying a premium for a simple task that a smaller model finishes just as well.

Further Analysis

Put simply, GPT-6.1 Sol at 0.72 per task is about 30 percent under GPT-6 Sol's 1.05 and only about a third of GPT-5.6 Sol's 1.99 across three value generations. The continuous cut is a real win for volume business, but do not push complex tasks all to the cheap tier where quality may fall short, and tier by difficulty so the easy calls save money while the hard calls still get the model that can actually solve them without a human redo.

Practical Advice

Teams on high-frequency, low-difficulty tasks should move traffic to the Sol tier first and measure per-task cost against acceptable quality. Use AA's Cost per Task as a cross-model price baseline but review the absolute number on your own task set, because your mix differs from the public one. Tier by difficulty, easy calls to Sol, hard calls to the flagship. Review cross-border compliance and data export. Reinvest the budget saved by the cut into flagship calls or human review on harder tasks, raising overall price-performance instead of only lowering the easy bill.

One-Line Conclusion

Put simply, GPT-6.1 Sol costs about 0.72 dollars per task, roughly 30 percent under GPT-6 Sol at 1.05 and only about a third of GPT-5.6 Sol at 1.99 across three value tiers. The consecutive cut helps volume business, but tier complex tasks by difficulty and do not push everything to the cheap tier, and compare on your own workload review rather than the AA number alone.