ChatGPT 4 Statistics By Market Share And Revenue (2026)

Introduction

ChatGPT 4 Statistics: ChatGPT 4, powered by OpenAI’s GPT-4 model, was a big step in generative AI when it launched in March 2023. GPT-4 achieved fruitful results across multiple professional and academic segments, including a simulated bar exam, where it landed around the top 10% of test takers.

GPT-4 is probably better seen as more of a base generation rather than OpenAI’s current ChatGPT experience by 2026. GPT-4 was pulled from ChatGPT in April 2025, even though API access kept going. The golden GPT-4 era also opened the door for GPT-4 Turbo and GPT-4o, with bigger context windows, cheaper rates, quicker inference, plus multimodal features which feel useful in daily life.

This article is all about the ChatGPT-4 statistics, which mainly focus on the ChatGPT 4 models and performance.

Featured Highlights

1. GPT-4 launched on March 14, 2023, and it was retired from ChatGPT on April 30, 2025.
2. GPT-4 started with an 8,192-token context window, then GPT-4 Turbo stretched that to 128,000 tokens.
3. GPT-4 was reported to be 82% less likely to generate disallowed content, and 40% more likely to give factual responses than GPT-3.5.
4. ChatGPT’s market share apparently dropped from 67.1% in January 2026 to 51.3% in July 2026.
5. As per the pricing factor, GPT-4 Turbo API was listed at $10 per 1 million input tokens and $30 per 1 million output tokens.
6. GPT-4 Turbo API capacity shifted from 30,000 tokens per minute at Tier 1, rising up to 2 million at Tier 5.
7. OpenAI said it had more than 1 million business customers using its AI tools.
8. In March 2026, OpenAI also reported around $2 billion in monthly revenue, which is showing something like $24 billion per year.

ChatGPT 4 Highlights

ChatGPT Market Share

(Source: firstpagesage.com)

• The chart gives a true picture of ChatGPT’s market, which show the ChatGPT is acts as leader in while AI chatbots in 2026.
• ChatGPT began with a 67.1% market share in January 2026, showing it was in a leading role across the AI assistant space. 
• By February, it reduced to 65.7%, then March reached 62.6%, and April landed at 61.8%. This indicates rival platforms were drawing in fresh users, but the leading ChatGPT kept its top position, though less strongly than before.
• Market share reached 59.1% in May, and 58.6% in June 2026. By July 2026, ChatGPT had 51.3% of the market. 
• The generative AI market is shifting from a one-dominant-voice situation into a more crowded, competitive environment, where different providers are expanding their footing. 
• Even if the share is easing, keeping above 50% market penetration signals strong brand recognition, wide enterprise adoption, and ongoing stickiness, which basically reinforces ChatGPT as the reference point for conversational AI.

ChatGPT-4 Pricing Statistics

(Source: openai.com)

• The pricing picture shows how the cost of AI processing can vary across OpenAI models. 
• For GPT-4 Turbo, the listed price is $10 per 1 million input tokens and $30 per 1 million output tokens. 
• GPT-4 Turbo pricing suggests that generating AI answers can end up substantially more expensive than just pushing information into the model in the first place.
• On the input side, o3-mini is $1.10 per 1 million tokens, while GPT-4o mini is only $0.15 per 1 million tokens. 
• So GPT-4 Turbo’s input price wraps up about 9.1×, which is higher than o3-mini, and roughly 66.7× higher than GPT-4o mini.
• With $10 per million input tokens, GPT-4 Turbo feels suited to workloads where advanced abilities are worth the extra bill.
• The $0.15–$1.10 band for the smaller models makes them more appealing for high-volume use cases, because throughput matters a lot.
• According to pricing details shown in the above picture, instead of defaulting to the most powerful model for literally every request, businesses can lower AI expenses by pairing model capability with task complexity.

ChatGPT-4 Turbo API Rate Limits

(Source: openai.com)

• The ChatGPT-4 Turbo API rate-limits table interprets how OpenAI elevated the processing capacity because people go from free access to more usage-based higher tiers. 
• The Free tier doesn’t really support batch queues, so it ends up being weirdly unfit for big-scale automated work.
• Tier 1 is landed at 500 requests per minute (RPM) and 30,000 tokens per minute (TPM), and then there’s a 90,000 token batch queue limit too. 
• When you go up to Tier 2, the capacity spikes: you will get 5,000 RPM, 450,000 TPM, and a 1.35 million token batch queue.
• Tier 3 keeps the request limit at 5,000 RPM, but the production goes up to 600,000 TPM. 
• Furthermore, the batch queue gets huge, jumping to 40 million tokens. 
• At Tier 4, organizations receive 10,000 RPM, 800,000 TPM, and an 80 million token queue, which shows a noticeable leap.
• The top tier, Tier 5, holds the same 10,000 RPM, but it jumped to 2 million TPM and a massive 300 million token batch queue. 
• The GPT -4 tier progression suggests that higher tiers are used for more intensive enterprise work. 
• The change from 30,000 TPM at Tier 1 to 2 million TPM at Tier 5 is a big jump in processing capacity, and the batch queue also grows from 90,000 to 300 million tokens. 
• In practice, those constraints make upper tiers especially useful for systems that need steady, high-volume AI processing repeatedly, not just occasionally.

Enterprise Security, and Model Adoption (GPT-4o & Reasoning Models)

• ChatGPT adoption number is depicting the growth and future innovation in different verticals, which really secured a solid enterprise presence.
• Based on registered corporate email domains rather than anything that was explicitly verified as Enterprise or Business workspaces, in August 2023, OpenAI said that teams at more than 80% of Fortune 500 companies had adopted ChatGPT.
• In the 2025 enterprise report, OpenAI supports over 7 million workplaces, it also claims that more than 1 million business customers are using its AI tools, and through their AI tools. 
• For extreme growth, the current Enterprise product page has more than 9 million business users.
• Enterprise demand is getting pulled forward more and more by security and governance concerns. 
• OpenAI explains that for model training, by default ChatGPT Enterprise does not use customer prompts, files, or other business data.
• OpenAI offers enterprise-grade protections like AES-256 encryption at rest, TLS 1.2+ encryption while data moves, SOC 2 compliance, centralized administration, retention controls, audit-related capabilities, and single sign-on. 
• OpenAI reports that over 9,000 organizations have processed more than 10 billion tokens, and that nearly 200 organizations have already crossed the 1 trillion-token mark. 
• The average reasoning-token usage of OpenAI per organization increased about 320x year over year. 
• Enterprise weekly message volume grew eightfold, and the typical employee reportedly sent 30% more messages. 
• Furthermore, roughly 20% of Enterprise messages got handled through these tuned-up tools and Weekly users of Custom GPTs and Projects went up about 19x across 2025.
• To keep internal knowledge and business routines standardized in a consistent way, BBVA regularly run more than 4,000 Custom GPTs.
• OpenAI leans heavily on secure governance, workflow integration and measurable outcomes as it wins inside companies are no longer judged only by pilot projects.

OpenAI (ChatGPT)

OpenAI Revenue and Growth

(Source: gradually.ai)

• OpenAI had already passed a $20 billion annual run-rate, and that was more than 3x what it made in 2024. 
• According to Sacra, OpenAI’s February revenue held at $25 billion annually, and it also confirmed around $2 billion in monthly revenue on March 31 2026, which stands at roughly $66 million per day.
•  During 2026, OpenAI is expecting to aim for $29.4 billion in revenue, then $100 billion in 2027, and $280 billion by 2030. 
• With 9 million users being business customers, the reported commercial footprint includes 50 million paying users.
• The OpenAI AI infrastructure is achieving about $1.4 trillion in data-center commitments over eight years, which indicates the fast growth in the market.

ChatGPT User Demographics And Geographic Breakdown

• OpenAI reported that Q1 2026 users under 35 generated the biggest share of consumer plan messages.
• The activity from users over 35 also jumped, which signals wider mainstream traction. 
• Semrush Trends reported that users aged 18–24 represent 46.7% of ChatGPT’s audience, while those aged 25–34 make up 24.3%, so combined these two groups account for about 71% of users.
• Research from Pew Research Center shows that in the United States, 58% of adults under 30 have tried or used ChatGPT, compared to 41% for adults aged 30–49, 25% for adults aged between 50–64, and only 10% among adults 65 or older. 
• Pew Research Centre reports that ChatGPT usage jumped to 52% among postgraduates, 51% among bachelor’s degree holders, then declined to 33% for adults with some college education, and it fell again to 18% for people with a high-school education or less. 
• ChatGPT usage on the job is 45% among employed postgraduates, compared with 36% of bachelor’s degree holders, 25% among employees who have some college, and 17% for employees with a high-school education.
• According to Similarweb, the geography of ChatGPT estimates that the United States landed up with 21.0% of ChatGPT desktop traffic, then India reached 9.15%, Brazil at 5.16%, Japan at 3.94%, and the United Kingdom at 3.34%. 
• In February 2026, OpenAI in India already passed 100 million weekly ChatGPT users, and this figure is more than one-ninth of the platform’s 900+ million weekly active users reported for March 2026. 

Conclusion

GPT-4 is still the main reason for OpenAI’s generative AI work globally, even after it was taken out of ChatGPT.  The shift to GPT-4 Turbo and then into GPT-4o brought better context size, lower costs, faster responses, and stronger multimodal skills. Meanwhile, the wider ChatGPT platform still holds a big footprint, but its reported share slid during 2026, mostly because rivals got more noticeable.

OpenAI’s around $2 billion each month in revenue plus well over 1 million business customers suggests very solid commercial buy-in. On the user side, engagement looks strongest among younger adults and also among people with higher education levels. Overall, stats shift toward ChatGPT growing across home users, enterprise setups, and international markets too.

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