Roboflow

Gemini 2.5 Pro vs GPT-5 Mini

Gemini 2.5 Pro: 57.6% average across five Vision Evals tasks (#45 of 68 models). We have not run GPT-5 Mini through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.

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

Evals updated November 10, 2026Pricing updated November 10, 2026

PropertyGemini 2.5 ProGPT-5 Mini
OrganizationGoogleOpenAI
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateJun 2025Aug 2025
Context Window1.0M400K
ParametersUnknownUnknown
LicenseProprietaryProprietary
Commercial usecommercial use per vendor termscommercial use per vendor terms
Pricing per 1M tokens
Input $/1M$1.25$0.250
Output $/1M$10.00$2.00
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 Mini: 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 Mini

GPT-5 Mini, released by OpenAI on August 7, 2025, is a mid-tier variant of the GPT-5 family that balances cost, speed, and capability. It is multimodal, supporting both text and image inputs, and offers a substantial input context window of ~400,000 tokens with output lengths up to ~128,000 tokens. While less powerful than the full GPT-5, it inherits its safety tuning, instruction-following improvements, and multimodal reasoning, making it a practical choice for developers who need large context handling without the expense of premium models.

GPT-5 Mini is optimized for affordability while retaining strong reasoning performance. Benchmarks show it outperforming earlier models such as GPT-4o on many multimodal and medical VQA tasks, though it lags behind GPT-5 on the most complex problems. Ideal use cases include prototyping, scalable content generation, document analysis, and mid-range reasoning tasks where efficiency and context capacity matter more than top-tier accuracy.