OpenAI Established Not in FlowHunt

GPT-4o

GPT-4o is a proven AI model still widely deployed in production systems, developed by OpenAI and released in May 2024. It is a proprietary closed-weight model, available through the OpenAI API. It supports a 128K-token context window, adequate for most documents and multi-turn applications.

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GPT-4o (‘omni’) was released on May 13, 2024 as OpenAI’s first natively multimodal model — text, image, and audio processed by a single architecture rather than routed through specialised sub-models. The ‘o’ in 4o stands for omni, reflecting the unified architecture. GPT-4o’s real-time voice mode, released later in 2024, demonstrated human-like conversational latency for the first time and drove a wave of voice-AI products. It became the default model powering ChatGPT throughout 2024 and was used to build the first generation of vision-capable agents. By 2026 it sits in the Established tier — comfortably outclassed by the GPT-5 series on hard reasoning benchmarks — but remains popular for cost-sensitive, high-volume multimodal applications.

Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Established peers on the same scale
  • GPT-4othis model
  • Llama 4 Maverickthis model leads on 0 of 3
  • Llama 4 Scoutthis model leads on 1 of 3
Verified independent evaluator, counted in the ranking Self-reported published by OpenAI, shown but not ranked
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

GPT-4o 8.4 Llama 4 Maverick 10.0 Llama 4 Scout 8.1
#42of 45 Verified
Coding

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

GPT-4o 33.2% Llama 4 Maverick No score Llama 4 Scout No score
Not ranked Self-reported

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗

GPT-4o 2.4% Llama 4 Maverick 4.9% Llama 4 Scout 3.8%
#44of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Self-reported 53.6%

GPT-4o 54.3% Llama 4 Maverick 67.1% Llama 4 Scout 58.7%
#35of 37 Verified

What to Use GPT-4o For

Software Engineering

It handles code generation, bug fixing, and code review for typical development tasks, though frontier models score significantly higher on fully autonomous complex engineering.

Scientific & Technical Reasoning

It handles general scientific Q&A at a solid level, though frontier models score 25+ percentage points higher on the hardest graduate-level problems.

Strengths and limitations

Strengths

  • Long-context tasks (128K context window)

Limitations

  • Below-frontier hard science reasoning
  • Significantly behind 2026 frontier models on agentic coding and complex reasoning
  • Closed-weight — cannot be self-hosted or fine-tuned on private data

Use an alternative in FlowHunt

GPT-4o is not available in FlowHunt. These models cover similar work and are ready to use:

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About OpenAI San Francisco, CA · Founded 2015 · openai.com

OpenAI was founded in December 2015 as a nonprofit AI research laboratory by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever, John Schulman, and Wojciech Zaremba, with the mission of developing artificial general intelligence (AGI) that benefits all of humanity. In 2019 it created a capped-profit subsidiary, OpenAI LP, to raise institutional capital and scale model training. The company is known for the GPT series of language models (GPT-1 through GPT-6.1), the DALL-E image generation series, Whisper speech recognition, and Sora video generation. OpenAI operates the ChatGPT consumer application, a developer API, and enterprise services through Microsoft Azure. As of 2026 it maintains a close strategic partnership with Microsoft, which is the company's largest investor and cloud provider.

openai.com ↗

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