Roboflow

Gemini 2.5 Pro vs GPT-5

Gemini 2.5 Pro: 57.6% average across five Vision Evals tasks (#42 of 65 models). We have not run GPT-5 through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.

OpenAI

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GoogleGemini 2.5 Pro
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Gemini 2.5 Pro vs GPT-5 Comparison Table

Evals updated October 26, 2026Pricing updated November 4, 2026

PropertyGemini 2.5 ProGPT-5
OrganizationGoogleOpenAI
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateJun 2025Aug 2025
Context Window1.0M—
ParametersUnknownUnknown
LicenseProprietaryProprietary
Commercial usecommercial use per vendor termscommercial use per vendor terms
Pricing per 1M tokens
Input $/1M$1.25$1.25
Output $/1M$10.00$10.00
Vision Tasks
Both support 10 more tasks
Model Features
Both support 3 more features
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
Overall
57.6%
Not evaluated
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-5: 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-5

GPT-5, released by OpenAI in August 2025, is a multimodal large language model that advances beyond the GPT-4 family with a new “unified system” architecture. This design allows the model to dynamically choose between fast responses and extended reasoning depending on task complexity. It supports text, code, and images, alongside stronger tool use and agentic workflows, making it more adaptable for real-world problem solving. While its exact context window size is not disclosed, GPT-5 is optimized for long-horizon reasoning and multi-step tool chaining, indicating substantially expanded capacity over its predecessors.

The release introduced specialized variants: GPT-5 Pro, offering extended reasoning for complex workflows, and GPT-5 Codex, optimized for advanced coding tasks such as large-scale refactoring and code review. GPT-5 shows benchmark gains in coding, biomedical reasoning, multimodal analysis, and scientific tasks. Developers also gain new controls, such as verbosity and personalization parameters, for greater steerability. With these improvements, GPT-5 positions itself as OpenAI’s most capable and versatile model, suited for enterprise automation, research, healthcare, and sophisticated coding environments.