Roboflow

Gemini 2.5 Pro vs GPT-4.1

Gemini 2.5 Pro: 57.6% average across five Vision Evals tasks (#42 of 65 models). GPT-4.1 is deprecated and was not run through Roboflow's Vision Evals, so there is no head-to-head score.

OpenAI

Compare Gemini 2.5 Pro vs GPT-4.1 live

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GoogleGemini 2.5 Pro
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OpenAIGPT-4.1

GPT-4.1 is deprecated and can no longer be run. Details and evals are still available on its model page.

Gemini 2.5 Pro vs GPT-4.1 Comparison Table

Evals updated October 26, 2026Pricing updated November 5, 2026

PropertyGemini 2.5 ProGPT-4.1
OrganizationGoogleOpenAI
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateJun 2025Apr 2025
Context Window1.0M1.0M
ParametersUnknownUnknown
LicenseProprietaryProprietary
Commercial usecommercial use per vendor termscommercial use per vendor terms
Pricing per 1M tokens
Input $/1M$1.25$2.00
Output $/1M$10.00$8.00
Vision Tasks
CaptioningDemoSupported
ClassificationDemoSupported
Object DetectionDemoSupported
OCRDemoSupported
Visual Question AnsweringDemoSupported
Both support 5 more tasks
Model Features
Both support 3 more features
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
Overall
57.6%
Deprecated
Avg cost / sample$0.0051–
Avg speed / sample6.83s–
By task
Object Detection
33.7%
$0.010
–
Counting
52.7%
$0.0012
–
Identification
93.8%
$0.0012
–
OCR (low)
65.2%
$0.0046
–
by category
Single value
60.9%
Transcription
86.8%
Structured JSON
76.3%
Text localization
35.9%
OCR (high)
64.6%
$0.025
–
by category
Single value
63.0%
Transcription
87.3%
Structured JSON
78.3%
Text localization
20.6%
Reasoning (low)
42.4%
$0.0013
–
Reasoning (high)
62.3%
$0.011
–

Gemini 2.5 Pro vs GPT-4.1: Overview

Gemini 2.5 Pro

Gemini 2.5 Pro, released on June 17, 2025, is Google DeepMind’s most capable model in the Gemini 2.5 family, optimized for deep reasoning, coding, and complex multimodal tasks. It accepts text, images, audio, video, and PDFs as input and outputs text. The model supports 1 million input tokens with an output capacity of up to 65K tokens, enabling large-scale comprehension of datasets, codebases, and technical documents. Its training knowledge extends to January 2025.

It supports structured outputs, function calling, code execution, search grounding, and URL context, making it well-suited for enterprise, STEM, and developer workflows. However, it does not currently support image or audio generation in its stable release, and its higher computational cost and latency make it less efficient than Flash or Flash-Lite. It is available via the Gemini API, Google AI Studio, and Vertex AI.

GPT-4.1

GPT-4.1, released by OpenAI in April 2025, is a multimodal large language model that advances the GPT-4 series with major improvements in coding, reasoning, and instruction following. It accepts both text and images, supports tool calling and structured outputs, and features an expanded context window of up to ~1 million tokens—enabling it to process very large documents, multi-file codebases, or long conversations in a single prompt. Its knowledge is current through June 2024.

The GPT-4.1 family includes standard, mini, and nano variants, offering trade-offs between performance, cost, and latency. While parameter counts remain undisclosed, the series improves efficiency and responsiveness compared to GPT-4, making it suitable for both enterprise-scale tasks and cost-sensitive applications. Common use cases include software development, technical research, knowledge management, multimodal analysis, and high-context enterprise assistants.