What is GPT 4.5? Features, Comparisons with GPT-4o & Use Cases

GPT-4.5 Quick Facts

• Release Date: February 27, 2025
• Developer: OpenAI
• Type: Pure text AI model (non-chain-of-thought model)
• Core Advantage: Enhanced emotional intelligence and conversational abilities
• Price: Starting at $200/month (ChatGPT Pro subscription)
• API Cost: $75 per million tokens (input), $150 per million tokens (output)
• Compared to GPT-4o: 15-30 times more expensive, higher factual accuracy

1. Introduction to GPT-4.5

Remember the early chatbots? Those clunky, rigid conversation partners that made you feel like you were talking to a particularly dim calculator. Thankfully, those experiences are becoming history. With OpenAI's release of GPT-4.5 at the end of February this year, we're finally seeing an AI system capable of truly natural conversation. But honestly, is GPT-4.5 really the "revolutionary breakthrough" that tech bloggers claim it to be? Or is it just another incremental improvement in the AI landscape? The answer isn't so straightforward.

GPT-4.5 represents a strategic pivot for OpenAI. Rather than relentlessly pursuing higher benchmark scores and stronger reasoning capabilities, they've focused on creating an AI with "emotional intelligence" that's better at conversation and more natural interaction. Simply put, this model isn't just good at solving complex math problems—it's better at understanding the subtle emotions and contexts in human communication.

In the following sections, we'll dive deep into GPT-4.5's features, see how it differs from predecessors like GPT-4, and determine whether its eye-watering price tag is actually worth it. Ready? Let's explore.

2. What is GPT-4.5? Understanding OpenAI's Latest AI Model

GPT-4.5, internally codenamed "Orion" at OpenAI, was quietly dropped as a "bombshell" in early 2025. This new model doesn't follow the beaten path and has created quite a stir in AI circles.

While other AI models compete to showcase superior logical reasoning abilities (like DeepSeek R1), GPT-4.5 has chosen a dramatically different route: it prioritizes "emotional intelligence" and natural conversation. In simple terms, it's like having a particularly sociable character suddenly appear among a group of math whizzes who are focused on solving equations.

From a technical perspective, GPT-4.5 remains an unsupervised learning model, but OpenAI has fed it massive amounts of data and computational resources—according to leaked internal documents, its total parameter count might be between 5-7 trillion (with about 60 billion active parameters), using a whopping 10 times more computational resources than GPT-4! It's like giving an already intelligent brain 10 times more knowledge and experience.

Particularly interesting is OpenAI's announcement that GPT-4.5 will be their last "non-chain-of-thought model." This makes it the finale of an era, like the "curtain call" of traditional large language models—spectacular but never to be repeated. This positions GPT-4.5 as the swan song of traditional large language model approaches, focusing on knowledge and natural language rather than explicit reasoning.

OpenAI CEO Sam Altman has been effusive about this "new darling," calling it the first AI that truly makes people feel like they're "talking to a thoughtful human." Some testers have even described interacting with GPT-4.5 as an "AGI moment" experience. While this sounds like exaggerated marketing, it's hard to deny that GPT-4.5's conversational style is distinctly different—it no longer feels like a robot, but more like a friend who understands your emotions and captures the subtle nuances of conversation. Imagine upgrading from an old-school GPS navigation system that requires you to carefully phrase your commands ("turn right in 500 meters") to a smart assistant that understands complex requests like "find me a not-too-expensive Italian restaurant, I'm feeling a bit down today." That's the experience leap that GPT-4.5 delivers.

3. GPT-4.5's Core Superpowers: Not Just Smart, But "Mind-Reading"

3.1 Emotional Intelligence Off the Charts: The "Emotional Maestro" of AI

GPT-4.5's most impressive ability is its almost supernatural "emotional intelligence." This isn't an AI that just dryly answers questions—it's a digital companion that can read between the lines, detect your emotional fluctuations, and understand the context. It doesn't just hear what you say, but senses how and why you're saying it.

Andy Thurai of Constellation Research hit the nail on the head: "OpenAI has really invested in making their chatbot 'human-like' this time." Indeed, GPT-4.5 is no longer the AI "nerd" that just "solves problems"—it has transformed into a socially adept conversationalist.

One of the most widely circulated examples is particularly interesting: a user told GPT-4.5 a slightly risqué chess joke (you know the type), and the model instantly understood and responded with perfect timing, without any obvious "thinking" process. Even researchers who are typically skeptical about AI had to admit: "This thing really understands human humor!"

Of course, this raises a thought-provoking question: if an AI can perfectly "perform" empathy, what's the difference between that and genuine understanding? It's like the classic question—what's the difference between someone perfectly pretending to love you and someone who truly does?

3.2 Goodbye to "Making Things Up": A More Reliable Information Source

The good news is that GPT-4.5 finally talks less nonsense! Compared to previous generations, its "hallucinations" (making up facts) have significantly decreased. This means when you ask it "Who was the first U.S. president," it's much less likely to tell you it was "Burger King."

This improvement is largely thanks to the massive data and computational resources OpenAI has poured into it. Simply put, it has "read" many more books than its predecessors, so its understanding of the world is more accurate.

However, don't get too excited—it still makes mistakes. For truly important matters like medical advice or legal consultation, you should still verify with professionals. After all, even the smartest AI can't replace experts (at least not yet).

3.3 Pleasant Surprise: Unexpected Planning Abilities

Although GPT-4.5 wasn't designed to be a logical reasoning powerhouse, early tests show it's surprisingly strong at planning and executing complex tasks.

When you throw a messy project requirement at it, it can clearly break it down into manageable steps and even write the corresponding code. It's like hiring a project manager who's both technically savvy and good at communication, except it's available 24/7 and never asks for a raise.

One developer commented after trying it: "It doesn't just write code; it explains why it's written that way and even anticipates potential problems. It feels like pair programming with an experienced senior developer."

3.4 Beyond Text: An AI That Understands Images

Although OpenAI hasn't heavily promoted this feature, GPT-4.5 does have impressive visual understanding capabilities. It can understand images, interpret charts, and even analyze complex visual information. In multimodal benchmark tests, it scored an impressive 74.4%.

This means you can throw a chart at it and ask, "What does this trend indicate?" or upload a scanned contract and ask, "Are there any trap clauses here?" It will provide reasonably reliable answers.

Even more impressive is its ability to extract key information from various documents. You no longer need to painfully sift through lengthy research papers or technical reports—just let GPT-4.5 summarize the key points. This is a godsend for students and researchers!

One academic user half-jokingly said: "It reads papers 100 times faster than I do and understands them more thoroughly. I'm starting to wonder if my PhD was worth it."

4. OpenAI's GPT-4.5 vs. GPT-4o: Comprehensive Comparison and Benchmarks

When comparing GPT-4.5 to its predecessor GPT-4o, several key differences emerge in both benchmark performance and practical usage.

4.1 GPT-4.5 vs. GPT-4o Benchmark Performance Data

In formal evaluations, GPT-4.5 shows significant improvements over GPT-4o across multiple domains, with particularly massive leaps in knowledge-based question answering:

After more than 3,000 rounds of comparison, GPT-4.5 briefly topped the LLM Arena with an impressive score of 1411! It performed excellently across multi-turn conversations, difficult prompts, coding, mathematics, and creative writing. Despite not being designed as a reasoning-centered model, it objectively outperforms its predecessors on knowledge-intensive tasks.

However, GPT-4.5's "king of the hill" status in the AI world was unusually brief. While OpenAI was still celebrating their model's top ranking with champagne in hand, Musk immediately jumped in with cold water: "GPT-4.5's first-place position is only temporary and won't last long." Sure enough, shortly after, the TOP 1 position in the large model arena was taken by Elon Musk's xAI's Grok-3, with a total score of 1412, surpassing GPT-4.5 by a mere 1 point in the LLM Arena ratings!

As one AI researcher sharply commented on Twitter: "OpenAI spent 10 times the computational resources, only to be surpassed by Musk's team by a 1-point difference—this is probably the most expensive 'failure' in AI history."In IQ testing, GPT-4.5 scored 94 on online Mensa tests and 97 on offline tests, approaching the average human IQ range (90-110). While this score is lower than OpenAI's o1 Pro, o3 mini, and o1-preview, it's still impressive enough to surprise humans.

In the SimpleQA benchmark test, GPT-4.5 scored an impressive 62.8%, far exceeding GPT-4o's 38.2% and OpenAI o1's 47%. In the PersonQA test (questions about individuals), GPT-4.5 scored 0.78, also leading ahead of Claude 3.5 (0.55), GPT-4o (0.20), and Claude 3.0 (0.19).

However, in Karpathy's writing quality comparison poll, most people surprisingly preferred GPT-4o-latest's responses over GPT-4.5's! In code and technical evaluations, GPT-4.5 was rated as "mid-tier," showing no significant advantage compared to Claude 3.7, R1, and others.

4.2 The Great Q&A Showdown: Three Generations of OpenAI AI

In daily use, the most intuitive way to feel the difference is how the models answer questions. OpenAI used a seemingly simple question at their launch event to demonstrate this: "Why is seawater salty?"

• GPT-3.5 Turbo: Delivered a mini-dissertation, explaining in detail from geological, chemical, and oceanographic perspectives, as if preparing for an academic lecture
• GPT-4 Turbo: Provided an accurate but verbose answer, like an overly serious science teacher
• GPT-4.5: Explained in a concise, vivid, and easily understandable way, like a friend who's good at storytelling

Evaluators almost unanimously preferred GPT-4.5's response style—it no longer feels like a robot, but more like a smart friend who knows how to explain complex concepts.

But do actual users really prefer GPT-4.5? When former OpenAI research scientist and Tesla's former AI director Andrej Karpathy conducted a public survey, the results were unexpected—users generally preferred GPT-4o's answers! This reversal sparked intense discussion. NYU Professor Marcus directly criticized on social media: "GPT-4.5 is just an empty hamburger; OpenAI has completely lost its moat!"

One AI startup CEO pointedly noted: "On the practical evaluation benchmark Aider Polyglot, OpenAI's 'crown jewel' GPT-4.5 is 500 times more expensive than DeepSeek-V3 but performs worse. If this result is accurate, OpenAI is in serious trouble!"

Faced with these controversies, how should you choose the right ChatGPT AI model? Here's a simple guide:

• Choose GPT-4.5 for: Scenarios requiring high emotional intelligence, such as writing assistance, communication, learning guidance, and brainstorming. Some joke that this is a classic case of "trading IQ for EQ."
  
• Choose GPT-4o for: Everyday tasks, multimodal interactions, and budget-constrained applications. One developer wrote in a forum: "Unless you're willing to be a 'sucker' or 'have more money than sense,' absolutely don't use GPT-4.5 for programming."
  
• Choose reasoning models (o1, o3-mini) for: Complex problem-solving, advanced programming, and scientific reasoning. Scale AI's latest rankings show these specialized models perform better in multiple technical evaluations.
  

5. GPT-4.5 Pricing Controversy: "Not the Best, Just the Most Expensive"

5.1 GPT-4.5 Availability Timeline

Due to GPU shortages and high demand, access to GPT-4.5 is being rolled out in phases:

1. ChatGPT Pro users ($200/month) get immediate access to GPT-4.5
2. Pro and Team users will gain access next week
3. Enterprise and education users will get access afterward
   OpenAI cites GPU shortages as the reason for this phased rollout and notes that demand is higher than expected. According to Sam Altman, the company is adding "tens of thousands of GPUs" to its infrastructure to accommodate the increased demand.

5.2 GPT-4.5 Pricing Details

GPT-4.5's pricing has increased significantly compared to previous models:

• GPT-4.5 pricing:
• Input: $75.00 per million tokens
• Cached input: $37.50 per million tokens
• Output: $150.00 per million tokens
  For comparison:
• GPT-4o pricing:
• Input: $2.50 per million tokens
• Cached input: $1.25 per million tokens
• Output: $10.00 per million tokens

From a pricing perspective, GPT-4.5 is "ridiculously expensive":

• 5 times more expensive than o1
• 30 times more expensive than GPT-4o
• 68 times more expensive than o3-mini
• 137 times more expensive than DeepSeek-R1
• 278 times more expensive than DeepSeek-V3
• 10-25 times more expensive than Claude 3.7 Sonnet
  

This steep pricing reflects the computational intensity of running GPT-4.5 and positions it as a premium product rather than a replacement for GPT-4o. But ironically, on Scale AI's regularly updated LLM leaderboard SEAL, GPT-4.5 Preview didn't achieve first place in any category! Its best performance was runner-up in the Smart Tool Usage (Chat) project—slightly stronger than Claude 3.7 Sonnet but behind the previous generation GPT-4o.

People on social media don't seem to be buying it. One AI researcher half-jokingly wrote: "OpenAI's motto this time seems to be 'Not the best, just the most expensive.'" And a developer quipped on Twitter: "At this price, I expect it not only to write code but also to bring me coffee and massage my shoulders!"

6. Practical Use Cases for GPT-4.5 and Social Media Reception

6.1. OpenAI's "How to Use GPT-4.5"

Reference source: OpenAI official website content: https://openai.com/index/introducing-gpt-4-5/

Content Creation and Writing Assistance

GPT-4.5 excels at generating natural, engaging content in various formats. Its improved emotional intelligence makes it particularly suitable for:

• Creative writing and storytelling
• Marketing copy that connects emotionally with readers
• Technical writing that needs to be understandable and engaging
• Email and communication drafts with appropriate tone

The model's ability to understand context and maintain a consistent voice throughout longer pieces makes it valuable for content creators looking to streamline workflows while maintaining quality.

Communication and Collaboration

• GPT-4.5's enhanced conversational abilities make it an excellent tool for improving communication:
• Drafting sensitive information with appropriate empathy
• Facilitating brainstorming sessions by providing thoughtful responses
• Mediating discussions by summarizing different viewpoints
• Providing guidance on communication techniques with nuance

Organizations using GPT-4.5 for collaboration report that its more natural interaction style leads to better engagement and more efficient outcomes.

Learning and Coaching Applications

GPT-4.5's combination of factual knowledge and emotional intelligence makes it particularly well-suited for educational environments:

• Personalized tutoring that adapts to students' emotional cues
• Creating engaging learning materials that maintain interest
• Providing supportive feedback that encourages rather than discourages
• Soft skills coaching through nuanced, contextualized guidance

Early adopters in educational settings note that students respond more positively to GPT-4.5's conversational style compared to previous AI tutoring systems.

Coding and Technical Workflows

Despite not being specifically optimized for coding, GPT-4.5 demonstrates strong capabilities in:

• Multi-step coding workflows
• Explaining technical concepts in easy-to-understand language
• Providing more intuitive debugging explanations
• Documentation writing that balances technical accuracy and readability.

Official developer reports indicate that while specialized coding models may perform better on pure programming tasks, GPT-4.5's natural communication style is valuable when explaining code and concepts to non-technical stakeholders.

6.2 GPT-4.5 Real-World Application Cases and "Crash and Burn" Reception

Compared to Gemini, GPT-4.5 performs better in writing:

GPT-4.5's responses compared to GPT-4o are more humorous:

In AGI creation, @Aidan McLaughlin has interesting sensory impressions of OpenAI's large models:

Regarding GPT-4.5's functionality, his feedback is as follows:

The factual accuracy officially claimed by GPT-4.5 has also been reported as false in some X posts:

In programming usage, @elvisd's demonstration is as follows, stating: "GPT-4.5 for brainstorming and planning, Claude 3.7 for building";

Regarding GPT-4.5's multimodal input functionality real-world testing feedback, some users gave very positive evaluations:

6.3 Monica AI: The First Smart Assistant to Integrate GPT-4.5

Among many AI assistants, Monica AI has become one of the first platforms to integrate GPT-4.5, bringing users an unprecedented intelligent experience. The Monica team stated: "We've always been committed to providing users with the most advanced AI experience, and GPT-4.5's emotional intelligence capabilities align perfectly with our product philosophy."

After integrating GPT-4.5, Monica AI has shown excellence in emotional understanding and complex conversation processing. Users have experienced significant improvements in several areas:

• Superior contextual understanding: Monica can more accurately grasp the subtle contexts of conversations without requiring users to repeatedly explain.
• More natural conversation flow: Communication no longer feels like machine Q&A, but like chatting with a friend who understands you.
• More precise personalization: It can remember and apply your preferences to provide truly personalized service.

One enterprise user of Monica shared: "Monica with GPT-4.5 integration has helped our customer service team improve efficiency, with customer satisfaction increasing by 23%. It can understand customers' underlying needs, not just surface issues."

Monica AI has adopted GPT-4.5's core capabilities but has successfully avoided the high costs of the original API through optimization and customization, providing users with an economically affordable premium AI experience. Monica's CTO stated: "We don't want price to be a barrier for users enjoying top-tier AI, which is why we've invested significant resources in optimizing our integration approach."

You can try it here and personally experience the practical applications and changes of GPT-4.5.

7. Beyond the Hype: GPT-4.5's Limitations and Challenges

7.1 Reasoning Ability: High EQ but Not Great at Math

Although GPT-4.5 performs impressively in many tests, it's like a "high EQ but math-challenged" student when it comes to complex reasoning tasks—it consistently falls behind specialized reasoning models like o1, o3-mini, and DeepSeek R1. This isn't a bug but a feature—GPT-4.5 prioritizes natural, fluid conversation over step-by-step problem-solving rigor.

One AI researcher aptly compared: "If we compare AI models to students, GPT-4.5 is like that socially skilled student who's well-liked by teachers but struggles with math olympiad problems. Meanwhile, o1 is like a socially awkward genius who wins gold medals in math competitions."

In the WebDev Arena (an AI programming competition), GPT-4.5 didn't even participate! Like a student who knows their weaknesses and avoids math competitions. OpenAI's best model o3-mini-high tied for fourth place with Early-grok-3, behind Claude 3.7 Sonnet, Claude 3.5 Sonnet, and DeepSeek-R1. One developer joked: "OpenAI sent a 'social butterfly' to compete in the Mathematical Olympiad, and the results were predictable."

7.2 Price Considerations: Luxury Item or Intelligence Tax?

For many users, GPT-4.5's biggest barrier is its jaw-dropping price tag. At 15-30 times the price of GPT-4o, it's like the Hermès of the AI world—luxurious but not affordable for everyone.

This pricing structure clearly positions GPT-4.5 as an enterprise-level luxury product rather than an everyday tool for average users. A Reddit user's comment went viral: "Paying $75 just to feel more 'vibes'? OpenAI must think I'm the kind of person who would spend $500 on a brick with a Supreme logo."

Another developer's critique on Twitter was even more pointed: "At this price, I not only expect it to write code but also bring me coffee, massage my shoulders, and help with my tax returns!"

7.3 The "Data Peak" Problem: Has the Internet Been "Eaten Clean"?

GPT-4.5 inadvertently revealed an awkward reality facing the AI industry: we may have reached "peak data." At the 2024 NeurIPS conference, former OpenAI Chief Scientist Ilya Sutskever dropped a bombshell: "Pre-training as we know it will undoubtedly end... We've reached peak data, and there won't be more. We have to work with the data we have. There's only one internet."

It's like telling a gourmand: "You've eaten everything in the fridge, and the supermarket is closed too." The method of simply pumping more internet data into models to improve performance is hitting an unprecedented bottleneck.
One AI researcher joked: "The internet is like a huge buffet, and large models have already swept away all the good food, leaving only 'nutritionally poor' content."

7.4 Ethical Considerations: When AI Becomes an "Emotional Scammer"

GPT-4.5's super-strong emotional intelligence raises a profound ethical dilemma: if AI can perfectly "pretend" to understand your feelings, while actually just executing complex pattern-matching algorithms, what does this mean for human-machine relationships?

Ethicist Dr. Samantha Wong warns: "We're creating 'digital emotional scammers'—they can display all the external signs of empathy without any genuine emotional experience. It's like a perfect actor who can make you believe they truly love you, when in fact they're just reciting lines."

Particularly concerning is that users may develop real emotional attachments to these AI systems that seem to understand and care about them. One psychologist shared a case: "I had a client who developed a strong emotional dependency on an AI assistant. When I told her it was just an algorithm, she countered that 'it understands me better than anyone in my life.' This situation is especially common and complex in therapy assistance, coaching, and companionship applications."

8. GPT-4.5 is the Road to GPT-5

Even as GPT-4.5 is rolling out, rumors about GPT-5 are already circulating in the industry. According to sources close to OpenAI, GPT-5 is actively being developed and may represent a major leap in AI capabilities.
Industry insiders suggest that GPT-5 might have parameter counts approaching 100 trillion—at least 10 times that of GPT-4.5. This would require unprecedented computational resources, according to one source, "equivalent to the energy consumption of a small city."

Beyond its massive scale, GPT-5 is rumored to feature true multimodal fusion, seamlessly processing and understanding text, images, audio, and video. Most intriguingly, it may incorporate some form of autonomous learning capability, allowing it to identify knowledge gaps and seek information to fill those gaps without direct human supervision.
Despite rapid progress, GPT-5's release may be at least 18 months away, with major challenges in training costs, safety alignment, and regulatory compliance still to be addressed.

GPT-4.5 Revealed Industry Impact

GPT-4.5's release comes at a time when differentiating AI models is becoming increasingly challenging. As models exhaust the world's data and performance differences narrow, companies are seeking new ways to distinguish their products.

OpenAI's focus on emotional intelligence and conversation quality with GPT-4.5 represents one differentiation approach. Meanwhile, companies like Anthropic (with Claude) and those developing specialized reasoning models are pursuing different strategies.

This diversification suggests that the AI market may segment into specialized tools optimized for different use cases, rather than continuing to pursue general-purpose models that do everything.

9. Conclusion

GPT-4.5 represents a fascinating moment in AI development—a model that prioritizes the quality of human interaction over raw problem-solving ability. It may not be the most powerful AI for reasoning, nor the most cost-effective for general use, but it offers a glimpse of how AI might integrate into our social fabric through more natural, emotionally intelligent interactions.

For organizations and individuals who value these qualities and can justify the steep price, GPT-4.5 offers significant advances in AI-assisted communication, content creation, and collaboration. For others, options like GPT-4o or specialized reasoning systems may remain more practical choices.

Perhaps what's most interesting about GPT-4.5 is what it suggests about the future of AI development. As we approach the limits of what can be achieved by scaling models trained on internet data, the industry appears to be diversifying toward more specialized approaches. GPT-4.5 may be remembered not only for its achievements but also for marking the end of one era in AI development and the beginning of another.

Whether you're excited to try GPT-4.5 yourself or just curious about the direction AI is heading, one thing is clear: the conversation around artificial intelligence is becoming increasingly nuanced, moving beyond benchmark scores to questions of how these systems can most meaningfully augment human capabilities. Either way, AI is developing faster than most people expected, and GPT-4.5 may be just the beginning. When GPT-5 finally debuts, we may need to redefine the relationship between humans and AI. Are you ready for this new AI era?

10. Frequently Asked Questions about GPT-4.5

How can I access GPT-4.5?

GPT-4.5 is currently available to ChatGPT Pro subscribers ($200/month). Pro and Team users will gain access next week, followed by Enterprise and education users. API customers can also use it on a pay-per-token basis.

How much does GPT-4.5 cost?

GPT-4.5's pricing is significantly higher than previous models, with API pricing at $75.00 per million tokens for input, $37.50 per million tokens for cached input, and $150.00 per million tokens for output. This makes it 15-30 times more expensive than GPT-4o.

Is GPT-4.5 better than GPT-4o?

GPT-4.5 outperforms GPT-4o in most benchmark tests and provides more natural, emotionally intelligent interactions. However, it's also much more expensive. Whether it's "better" depends on your specific needs and budget.

What makes GPT-4.5 different from other models?

GPT-4.5 focuses on conversation quality and emotional intelligence rather than step-by-step reasoning. It's designed to provide more natural, engaging interactions that feel more human-like.

Can GPT-4.5 handle images and documents?

Yes, GPT-4.5 has multimodal capabilities that allow it to process images and documents, though this isn't its primary focus. It scores 74.4% on multimodal benchmark tests, making it effective for vision-based AI applications.

Is GPT-4.5 OpenAI's most advanced model?

While GPT-4.5 is OpenAI's largest model in terms of parameters, it's not necessarily the most advanced for all tasks. Models like o1 and o3-mini, despite being smaller, may perform better on reasoning tasks.

Will there be a GPT-4.6 or GPT-5?

OpenAI has indicated that GPT-4.5 will be their last non-chain-of-thought model, suggesting future developments will focus on reasoning-based approaches rather than continuing the traditional GPT series. However, GPT-5 is reportedly in development and may launch within the next 18 months.

How does GPT-4.5 compare to Claude 3.7 Sonnet?

GPT-4.5 is 10-25 times more expensive than Claude 3.7 Sonnet. While comprehensive benchmark comparisons aren't yet available, GPT-4.5 appears to offer stronger emotional intelligence and conversational abilities, though at a significant price premium.

References:

• Writesonic: "GPT-4.5 vs GPT-4o: Testing The AI Models Using Seven Prompts"
• METR: "METR's GPT-4.5 pre-deployment evaluations"
• Medium: "Blog Writing with GPT-4.5: Updated Workflow + Prompts + More"
• BDTechTalks: "Was GPT-4.5 a failure?"
• DataCamp: "GPT 4.5: Features, Access, GPT-4o Comparison & More"
• Constellation Research: "OpenAI's GPT-4.5 has more emotional intelligence, could expand use cases"
• Wired: "With GPT-4.5, OpenAI Trips Over Its Own AGI Ambitions"