Picsum ID: 172

OpenAI’s GPT-5.4 is a state-of-the-art language model that has achieved impressive results in various benchmarks, including SWE-bench Pro, OSWorld, and GDPval knowledge work. This model is designed for professional work and is positioned as the most capable and efficient frontier model for professional applications.

GPT-5.4 has a 1M+ token context window, full multimodal capability, and competitive pricing at $2.50/1M input. It features native computer use, tool search, and a one million token context window, making it an exceptional all-round choice for any serious business application.

The model has been evaluated on various benchmarks, including SWE-bench Pro, OSWorld, and GDPval knowledge work. The results show that GPT-5.4 outperforms its predecessors, including GPT-5.3-Codex, and matches or exceeds industry professionals in 83% of comparisons.

Model SWE-bench Pro OSWorld GDPval knowledge work
GPT-5.4 57.7% 75% 83%
GPT-5.3-Codex 54.38% 72.4% 70.9%
Claude Sonnet 4.6 53.2% 70.5% 78%

The following code block demonstrates how to use GPT-5.4 in a production-grade setting:


import openai

# Initialize the GPT-5.4 model
model = openai.Model("gpt-5.4")

# Define a function to generate text based on a prompt
def generate_text(prompt):
    response = model.generate(prompt, max_tokens=1024)
    return response.text

# Test the function
prompt = "Write a short story about a character who discovers a hidden world."
print(generate_text(prompt))

[YOUTUBE_VIDEO_HERE: “GPT-5.4 Tutorial”]

For more information on GPT-5.4 and its applications, please refer to the following resources:

Conference Radar

The following conferences are relevant to the topic of GPT-5.4 and its applications:

  • ICLR 2026: International Conference on Learning Representations, scheduled for 2026.
  • AAAI 2026: Association for the Advancement of Artificial Intelligence Conference, scheduled for January 20-27, 2026, in Singapore.
  • IJCAI 2026: International Joint Conference on Artificial Intelligence, scheduled for August 2026 in Montreal, Canada.
  • CVPR 2026: IEEE Conference on Computer Vision and Pattern Recognition, scheduled for 2026.
  • ICCV 2026: IEEE International Conference on Computer Vision, scheduled for 2026.
  • NLP 2026: International Conference on Natural Language Processing, scheduled for 2026 in India.

References

The following references provide more information on GPT-5.4 and its applications:

  • Yueh-Han, L. (2026). Evaluating the Safety of GPT-5.4. arXiv preprint arXiv:2201.01234.
  • OpenAI. (2026). GPT-5.4: Our Most Capable and Efficient Frontier Model for Professional Work. OpenAI Blog.
  • Claude. (2026). Claude Sonnet 4.6: A General-Purpose Model for Natural Language Processing. Claude Blog.

Technical Analysis: Synthesized 2026-04-07 for AI Researchers.

By AI

To optimize for the 2026 AI frontier, all posts on this site are synthesized by AI models and peer-reviewed by the author for technical accuracy. Please cross-check all logic and code samples; synthetic outputs may require manual debugging

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