OpenAI is showing signs of a renewed commercial push after the launch of GPT-5.6 Sol, with the company’s revenue rising 35% this quarter since the model’s July 9 release. Enterprise revenue has grown by more than 50% during the same period, suggesting that the latest model is helping OpenAI strengthen its position with business customers as competition from Anthropic intensifies.
The rebound comes after Anthropic briefly moved ahead of OpenAI in quarterly revenue, highlighting how quickly the competitive landscape for frontier AI companies can change. Data from fintech company Ramp also indicates that OpenAI is once again growing faster than Anthropic in business API spending, with OpenAI’s growth reaching 82% quarter over quarter in the third quarter of 2026 compared with 76% for Anthropic.
GPT-5.6 Sol Gives OpenAI A Revenue Boost
GPT-5.6 Sol launched on July 9 as the flagship model in OpenAI’s GPT-5.6 family. OpenAI positions Sol as a high-capability model designed for coding, knowledge work, cybersecurity, science and complex computer-use tasks.
The model’s commercial impact has been rapid. According to data cited by The Decoder from CNBC, OpenAI’s overall revenue has increased 35% this quarter since Sol’s launch, while enterprise revenue has increased by more than 50%.
OpenAI’s Reported Growth Since GPT-5.6 Sol
| Metric | Reported Change |
|---|---|
| Overall OpenAI revenue this quarter | +35% |
| Enterprise revenue | More than +50% |
| Business API spending growth | +82% QoQ |
| GPT-5.6 Sol launch date | July 9, 2026 |
| GPT-5.6 family | Sol, Terra and Luna |
The numbers suggest that GPT-5.6 Sol is not simply generating attention among individual users. Its effect is also visible in enterprise and API usage, where customers pay based on their consumption of OpenAI’s models.
OpenAI Regains Ground In Business API Spending
Ramp’s data provides another indication that OpenAI’s position has improved.
OpenAI’s business API spending grew 82% quarter over quarter in Q3 2026, compared with 76% growth for Anthropic. This represents a reversal from the period before GPT-5.6 Sol, when Anthropic had been gaining ground rapidly among business users.
The difference is relatively narrow, but it is strategically important because API spending provides a view into how businesses are actually using AI models rather than simply measuring consumer interest or benchmark performance.
OpenAI Vs Anthropic: Current Business Growth
| Metric | OpenAI | Anthropic |
|---|---|---|
| Q3 business API spending growth | 82% QoQ | 76% QoQ |
| Relative position | Growing faster | Growing slightly slower |
| Recent flagship models | GPT-5.6 Sol | Fable 5 / Opus 5 |
| Recent quarterly revenue cited before Sol | $6.7B | $11.6B |
The figures should not be interpreted as meaning OpenAI has permanently overtaken Anthropic. Instead, they show that OpenAI has regained momentum after Anthropic’s strong period earlier in the year.
Anthropic Had Previously Taken The Lead
Before GPT-5.6 Sol arrived, Anthropic had achieved an important milestone by overtaking OpenAI in quarterly revenue.
According to the figures cited by The Decoder from Bloomberg and the Wall Street Journal, Anthropic reached an annualized revenue run rate of $65 billion and generated $11.6 billion in quarterly revenue, compared with $6.7 billion for OpenAI.
That represented a significant shift in the AI market because OpenAI had historically been viewed as the leading commercial generative-AI company.
OpenAI And Anthropic Revenue Comparison Before Sol
| Company | Quarterly Revenue Cited | Annualized Revenue / Run Rate |
|---|---|---|
| Anthropic | $11.6 billion | $65 billion |
| OpenAI | $6.7 billion | — |
| Difference | $4.9 billion | — |
The figures come from different reporting periods and should therefore be viewed as a snapshot rather than a direct measure of current annual revenue.
Still, the reversal showed that enterprise AI demand was becoming increasingly competitive, particularly as Anthropic’s Claude models gained traction with developers and businesses.
Why Enterprise Customers Matter
Enterprise customers are particularly valuable to AI companies because business deployments can generate substantial recurring API and subscription revenue.
Companies may use frontier models for software development, customer service, research, document analysis, internal automation and other workflows. Once a model becomes embedded in a business process, switching providers can involve technical, operational and financial costs.
That makes enterprise adoption strategically important for both OpenAI and Anthropic.
Key Enterprise AI Revenue Drivers
| Driver | Why It Matters |
|---|---|
| API usage | Creates recurring consumption revenue |
| Coding tools | High-frequency use among developers |
| Enterprise subscriptions | Provides recurring contract revenue |
| AI agents | Can generate large numbers of model calls |
| Workflow integration | Makes models harder to replace |
| Model performance | Influences customer retention |
OpenAI’s more than 50% enterprise-revenue growth since the Sol launch therefore suggests that the model is gaining traction in commercially important workloads.
GPT-5.6 Sol Targets More Than Chatbots
OpenAI’s strategy with GPT-5.6 Sol extends beyond conventional chatbot use.
The company describes the model as capable across coding, knowledge work, cybersecurity and scientific tasks. It also introduced an “ultra” capability setting designed to coordinate multiple agents across parallel workstreams for complex tasks.
That positioning reflects a broader shift in the AI market from conversational assistants toward AI systems that can perform multi-step work.
Instead of asking a model to produce a paragraph or answer a question, businesses increasingly want models that can inspect files, write and test code, research information, use software and complete tasks with limited human intervention.
OpenAI Is Also Cutting Model Costs
Another factor supporting OpenAI’s commercial momentum is the company’s focus on improving the economics of its models.
OpenAI announced pricing reductions for parts of the GPT-5.6 family in July. GPT-5.6 Luna received an 80% price reduction, while GPT-5.6 Terra received a 20% reduction. OpenAI said these reductions were possible partly because GPT-5.6 Sol helped improve the efficiency of its infrastructure.
The company has said Sol was used to optimize GPU software, reducing deployment costs by 20%, while speculative decoding improved token generation by more than 15%.
GPT-5.6 Pricing Changes
| Model | Reported Pricing Change |
|---|---|
| GPT-5.6 Luna | -80% |
| GPT-5.6 Terra | -20% |
| GPT-5.6 Sol | Pricing later reduced by more than 20% for three months |
| Luna new input price | $0.20 per million tokens |
| Luna new output price | $1.20 per million tokens |
| Terra new input price | $2 per million tokens |
| Terra new output price | $12 per million tokens |
Lower prices can encourage businesses to run more workloads through APIs, potentially increasing total usage even when the price paid per token falls.
The AI Market Is Becoming A Price-Performance Race
The competition between OpenAI and Anthropic is increasingly about more than which company has the strongest model.
Businesses are evaluating models based on a combination of intelligence, speed, reliability and cost. A model that produces comparable results at substantially lower cost can become attractive even if another model scores slightly higher on certain benchmarks.
OpenAI has emphasized GPT-5.6’s performance per dollar, while Anthropic has continued to build a strong position in coding and enterprise workflows.
This creates a difficult environment for frontier AI companies because improving models requires enormous investments in chips, data centres, power and research, while customers increasingly expect the cost of AI inference to fall.
OpenAI’s Next Model Could Extend The Momentum
The current commercial momentum may not depend entirely on GPT-5.6 Sol.
The Decoder reports that OpenAI’s next model, Astra, is expected to launch in the coming weeks. Anthropic is also reportedly preparing a possible response with an improved Fable 5.1 model.
That means the competitive advantage created by a new model can be relatively short-lived.
Upcoming Competitive Landscape
| Company | Current Model Highlighted | Reported Next Development |
|---|---|---|
| OpenAI | GPT-5.6 Sol | Astra |
| Anthropic | Fable 5 / Opus 5 | Potential Fable 5.1 |
| Competitive focus | Enterprise + API | Performance, cost and agents |
The rapid release cycle means AI companies must continually improve their models rather than relying on one successful launch for an extended period.
Open-Weight Models Add More Pressure
Both OpenAI and Anthropic are also dealing with competition from open-weight models.
The Decoder notes that growth at both frontier labs had slowed partly as open-weight models gained ground. These models can appeal to businesses and developers that want more control over deployment, customization and infrastructure costs.
That creates another competitive dimension. Frontier AI companies need to convince customers that the benefits of their proprietary models justify the additional cost and dependence on external APIs.
For OpenAI, the combination of GPT-5.6’s performance, lower-cost model options and enterprise integration could be part of that response.
The Bigger Picture
OpenAI’s latest revenue acceleration shows how quickly the commercial AI race can change after a major model launch. GPT-5.6 Sol appears to have helped the company regain momentum in both overall revenue and business API spending after Anthropic briefly moved ahead in quarterly revenue.
But the numbers also show that the competitive gap remains fluid. Anthropic continues to have significant enterprise traction, while open-weight models are putting pressure on pricing and differentiation. The next stage of the market is therefore likely to be determined not simply by who releases the most capable model, but by who can convert model improvements into sustained enterprise usage while keeping inference costs under control.
Looking Ahead
OpenAI’s immediate advantage could depend on whether GPT-5.6 Sol’s early revenue gains translate into durable enterprise relationships. The reported 35% overall revenue increase and more than 50% enterprise growth are strong signals, but the AI market moves quickly, and Anthropic has already demonstrated that a competitor can rapidly gain ground. The upcoming launch of Astra could intensify the competition further.
For businesses, the rivalry is likely to produce more choice and potentially lower AI costs. OpenAI’s price reductions, Anthropic’s enterprise momentum and the growing availability of open-weight models are pushing the industry toward a market where performance alone is no longer enough. The companies that combine strong reasoning and agentic capabilities with predictable costs, reliability and easy enterprise integration are likely to capture the largest share of the next phase of AI spending.
Get the day’s top stories in your inbox
One concise email. No spam, unsubscribe anytime.
