Gemini 3.1 Pro vs GPT-5.4 Mini
Compare Gemini 3.1 Pro and GPT-5.4 Mini side-by-side. See how these vision models stack up in Image Captioning, Open Prompt, Classification, OCR, and Object Detection.
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Models in this comparison
Gemini 3.1 Pro vs GPT-5.4 Mini on Vision Evals
Gemini 3.1 Pro scores higher on all six Vision Evals tasks.
The widest gap is Object Detection, where Gemini 3.1 Pro leads 56.9% to 3.9%.
Overall, Gemini 3.1 Pro averages 84.6% (#2 of 16) against 65.3% (#14 of 16) for GPT-5.4 Mini.
GPT-5.4 Mini is both cheaper ($0.0026 vs $0.0068 per sample) and faster (4.5s vs 5.9s per sample).
Gemini 3.1 Pro vs GPT-5.4 Mini Comparison Table
Evals updated July 10, 2026Pricing updated July 21, 2026
| Property | Gemini 3.1 Pro | GPT-5.4 Mini |
|---|---|---|
| Organization | OpenAI | |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Feb 2026 | Mar 2026 |
| Context Window | 1.0M | 400K |
| Parameters | ||
| License | Proprietary | Proprietary |
| Pricing per 1M tokens | ||
| Input $/1M | $2.00 | $0.750 |
| Output $/1M | $12.00 | $4.50 |
| Vision Tasks | ||
| Captioning | Demo | Demo |
| Classification | Demo | Demo |
| Object Detection | Demo | Demo |
| OCR | Demo | Demo |
| Vision Language | ||
| Visual Question Answering | Demo | Demo |
| Model Features | ||
| Foundation Vision | ||
| LLMs with Vision Capabilities | ||
| Multimodal Vision | ||
Vision Evalsground-truth scores across 6 vision tasks | ||
| Overall | 84.6% | 65.3% |
| Object Detection | 56.9% | 3.9% |
| Counting | 71.6% | 60.8% |
| Identification | 100.0% | 78.1% |
| OCR | 92.6% | 88.1% |
| Data Extraction | 94.8% | 82.5% |
| Reasoning | 91.3% | 78.3% |
| Avg cost / sample | $0.0068 | $0.0026 |
| Avg speed / sample | 5.9s | 4.5s |
Gemini 3.1 Pro vs GPT-5.4 Mini: Overview
Gemini 3.1 Pro is a proprietary multimodal model from Google’s Gemini 3 series, released in early 2026 and designed for advanced reasoning across large multimodal datasets. It accepts text, images, audio, video, and documents, supporting up to a 1-million-token input context with up to 64k output tokens. Compared with Gemini 3 Pro, it improves long-context synthesis and multi-step reasoning, enabling more reliable analysis of large documents, datasets, and software codebases.
The model also advances visual understanding and grounding, allowing it to interpret UI screenshots, diagrams, and real-world scenes while referencing specific regions within images or video. These capabilities make Gemini 3.1 Pro well suited for multimodal workflows involving document processing, interface analysis, robotics research, and complex visual reasoning.
GPT-5.4 mini is a fast, cost-efficient model developed by OpenAI and released on March 17, 2026, optimized for high-throughput workloads and subagent orchestration. It supports text and image inputs within a 400,000-token context window, making it ideal for processing extensive visual datasets and large codebases in a single request. Designed for low-latency production environments, the model integrates with key API features including function calling, web search, and tool-based computer use, allowing it to assist in automated workflows that require navigating digital interfaces.
Compared to the previous GPT-5 mini, this version runs more than twice as fast while approaching the performance levels of the flagship GPT-5.4 on reasoning and coding benchmarks. While the larger GPT-5.4 introduces native, state-of-the-art computer-use capabilities, GPT-5.4 mini provides a scalable alternative for interpreting screenshots and reasoning over dense UI layouts. For vision tasks on Playground, it excels at extracting structured information from visual documents and assisting in agentic tasks that involve real-time interpretation of software interfaces alongside text.