GPT-4.1 — Benchmarks, Capabilities, and Use Cases
GPT-4.1 is a proprietary AI model from OpenAI, classified as Advanced tier with a 1M tokens context window. It is available directly in FlowHunt. Explore benchm...
3 min read
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.
On the FlowHunt AI Leaderboard it is one of 24 tracked models, evaluated across 3 benchmarks. Standout scores: 72.6% on MMLU-Pro (#6 of 8); 53.6% on GPQA Diamond (#12 of 14); 33.2% on SWE-bench Verified (#13 of 13).
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.
Note: Original flagship multimodal model. Widely deployed baseline.
- Released
- May 2024
- Context
- 128K tokens
- Weights
- Closed
- Tier
- Established
- Provider
- OpenAI
GPT-4o Benchmark Rankings
Rank among all 24 models tracked on this leaderboard. SR = self-reported · 3P / AA / C = independently verified.
| Benchmark | Score | Rank | Source | What it measures |
|---|---|---|---|---|
| SWE-bench Verified | 33.2% | 13 of 13 | SR | Real GitHub issue resolution (500 verified issues) |
| GPQA Diamond | 53.6% | 12 of 14 | SR | Graduate-level Google-proof science Q&A |
| MMLU-Pro | 72.6% | 6 of 8 | SR | Hard knowledge reasoning, 12K questions |
Detailed Benchmark Scores
SWE-V
SR
33.2%
Real GitHub issue resolution (500 verified issues)
GPQA ◇
SR
53.6%
Graduate-level Google-proof science Q&A
GPT-4o vs. Established Peers
Head-to-head benchmark comparison with other Established-tier models. Higher is better for all metrics.
| Benchmark | GPT-4o | Llama 4 Maverick | Llama 4 Scout |
|---|---|---|---|
| SWE-V | 33.2% | — | — |
| GPQA ◇ | 53.6% | 69.8% | — |
| MMLU-P | 72.6% | 80.5% | 52.2% |
About OpenAI
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-5.5), 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.
Use Cases
What to Use GPT-4o For
- Software Engineering
GPT-4o achieves 33% on SWE-bench Verified — ranked #13 of 13 models tracked here. 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
GPT-4o achieves 53% on GPQA Diamond (#12 of 14 models). 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 & Limitations
Strengths
- Long-context tasks (128K context window)
Limitations
- Below-frontier hard science reasoning (53% GPQA — frontier is 90%+)
- Significantly behind 2026 frontier models on agentic coding and complex reasoning
- Closed-weight — cannot be self-hosted or fine-tuned on private data
Browse the Full AI Model Leaderboard
Compare all 24 models across 11 benchmarks — sortable, sourced, and updated June 2026.
Frequently asked questions
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