GPT-5 — Benchmarks, Capabilities, and Use Cases
GPT-5 is a proprietary AI model from OpenAI, classified as Frontier tier with a 400K tokens context window. It is available directly in FlowHunt. Explore benchm...
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GPT-4.1 is an advanced AI model suited for demanding production workloads, developed by OpenAI and released in April 2025. It is a proprietary closed-weight model, available through the OpenAI API. The 1M-token context window is large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.
On the FlowHunt AI Leaderboard it is one of 24 tracked models, evaluated across 1 benchmark. Standout scores: 54.6% on SWE-bench Verified (#12 of 13).
GPT-4.1 was released on April 14, 2025 as OpenAI’s API-optimised model bridging the GPT-4o generation and GPT-5. Rather than maximising benchmark scores, it was tuned for production reliability: more consistent tool-calling, better instruction adherence across long conversations, and a 1M-token context window that made it the first OpenAI model suitable for ingesting entire software repositories in a single prompt. Many long-document and RAG-based applications were built around GPT-4.1’s stable API surface before GPT-5 arrived, and it remains in production use for workloads that prioritise the 1M-context capability at a lower price point than the GPT-5 series.
Note: Developer-focused; strong long-context (IFEval 87.4%) and instruction following.
- Released
- April 2025
- Context
- 1M tokens
- Weights
- Closed
- Tier
- Advanced
- Provider
- OpenAI
GPT-4.1 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 | 54.6% | 12 of 13 | SR | Real GitHub issue resolution (500 verified issues) |
Detailed Benchmark Scores
SWE-V
SR
54.6%
Real GitHub issue resolution (500 verified issues)
GPT-4.1 vs. Advanced Peers
Head-to-head benchmark comparison with other Advanced-tier models. Higher is better for all metrics.
| Benchmark | GPT-4.1 | Claude Sonnet 4.6 | DeepSeek V4-Flash |
|---|---|---|---|
| SWE-V | 54.6% | 79.6% | 79.0% |
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-4.1 For
- Software Engineering
GPT-4.1 achieves 54% on SWE-bench Verified — ranked #12 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.
- Long-Document & Codebase Analysis
With a 1M-token context window, GPT-4.1 can ingest entire software repositories, long legal contracts, book-length research reports, or extensive conversation histories in a single prompt — enabling deep document Q&A, cross-file codebase reasoning, and comprehensive summarisation without chunking heuristics or RAG pipelines.
Strengths & Limitations
Strengths
- Solid coding assistance — 54% SWE-bench Verified
- Very long documents and large codebases (1M context)
Limitations
- 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
Learn more
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