Gemini 3.1 Pro vs GPT-5.5
Gemini 3.1 Pro and GPT-5.5 score 76.8% vs 66.0% averaged across five Vision Evals tasks (#14 and #27 of 65 models), so Gemini 3.1 Pro leads overall.
- Gemini 3.1 Pro wins all 5 tasks, with its widest lead on object detection (67.4% vs 43.6%).
- Gemini 3.1 Pro is about half the cost: $0.010 vs $0.025 overall average cost per sample.
- Gemini 3.1 Pro is faster: 8.4s vs 10.1s per sample.
Roboflow Vision Evals. Full breakdown below.
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Gemini 3.1 Pro vs GPT-5.5 on Vision Evals
Roboflow Vision Evals. Full breakdown below.
Gemini 3.1 Pro vs GPT-5.5 Comparison Table
Evals updated October 26, 2026Pricing updated November 3, 2026
| Property | Gemini 3.1 Pro | GPT-5.5 |
|---|---|---|
| Organization | OpenAI | |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Feb 2026 | Apr 2026 |
| Context Window | 1.0M | 1.0M |
| Parameters | Unknown | Unknown |
| License | Proprietary | Proprietary |
| Commercial use | commercial use per vendor terms | commercial use per vendor terms |
| Pricing per 1M tokens | ||
| Input $/1M | $2.00 | $5.00 |
| Output $/1M | $12.00 | $30.00 |
| Vision Tasks | ||
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | 76.8% | 66.0% |
| Avg cost / sample | $0.010 | $0.025 |
| Avg speed / sample | 8.44s | 10.10s |
| By task | ||
| Object Detection (low) | 67.4% | 43.6% ±2.2, Mean of 3 runs, range 41.7 to 46.1 |
| Object Detection (high) | – | 44.2% ±0.6, Mean of 3 runs, range 43.5 to 44.8 |
| Counting (low) | 71.6% | 68.0% ±3.4, Mean of 3 runs, range 64.9 to 71.6 |
| Counting (high) | – | 68.0% ±1.4, Mean of 3 runs, range 66.2 to 68.9 |
| Identification (low) | 100.0% | 89.6% ±1.6, Mean of 3 runs, range 87.5 to 90.6 |
| Identification (high) | – | 88.5% ±1.6, Mean of 3 runs, range 87.5 to 90.6 |
| OCR (low) | 72.6% | 58.4% |
| by category |
|
|
| OCR (high) | 73.1% | 60.6% |
| by category |
|
|
| Reasoning (low) | 72.2% | 70.6% ±1.0, Mean of 3 runs, range 69.5 to 71.5 |
| Reasoning (high) | 74.8% | 72.2% ±3.6, Mean of 3 runs, range 68.9 to 76.2 |
Gemini 3.1 Pro vs GPT-5.5: 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-5.5 is a multimodal large language model released by OpenAI on April 23, 2026, engineered for autonomous, multi-step knowledge work and agentic workflows. It accepts text, images, and code as input, featuring enhanced spatial reasoning and visual grounding to support its computer use capabilities for operating software and navigating UI elements. Built to execute complex workflows end-to-end, the model interprets loosely defined tasks, selects appropriate tools, and performs self-verification with minimal user intervention. It is available in a standard version, a Thinking mode for extended reasoning budgets, and a Pro variant that uses parallel test-time compute for maximum precision on complex tasks.
Co-optimized with NVIDIA for GB200 NVL72 infrastructure, GPT-5.5 delivers per-token latency comparable to its predecessor GPT-5.4 while maintaining a 1-million-token context window. Despite increased capability, the model achieves greater token efficiency in coding and data analysis workflows, often completing tasks with fewer total tokens than previous versions. OpenAI reports a 60% reduction in hallucination rate compared to GPT-5.4, improving reliability for accuracy-sensitive applications. API access is available via the Responses and Chat Completions endpoints.