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Gemma 4 31B vs GPT-4.1 mini

Compare Gemma 4 31B and GPT-4.1 mini side-by-side. See how these vision models stack up in Image Captioning, OCR, Open Prompt, Object Detection, and Classification.

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GoogleGemma 4 31B
Run to compare this model.
OpenAIGPT-4.1 mini

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

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Gemma 4 31B vs GPT-4.1 mini Comparison Table

Evals updated October 8, 2026Pricing updated October 9, 2026

PropertyGemma 4 31BGPT-4.1 mini
OrganizationGoogleOpenAI
Categoryopenclosed
Modalitymultimodalmultimodal
Release DateApr 2026Apr 2025
Context Window256K1.0M
Parameters31BUnknown
LicenseApache 2.0Proprietary
Pricing per 1M tokens
Input $/1M$0.090$0.400
Output $/1M$0.340$1.60
Vision Tasks
CaptioningDemoSupported
Chart Question AnsweringSupportedSupported
ClassificationDemoSupported
Document Question AnsweringSupportedSupported
Image TaggingSupportedSupported
Multi-Label ClassificationSupportedSupported
Object DetectionDemoSupported
OCRDemoSupported
Vision LanguageSupportedSupported
Visual Question AnsweringDemoSupported
Model Features
Foundation VisionSupportedSupported
LLMs with Vision CapabilitiesSupportedSupported
Multimodal VisionSupportedSupported
Vision Evalsground-truth scores across 5 vision tasks
Overall
57.7%
4/5 tasks
Deprecated
Quantizationsself-hosted
BF1657.7%FP857.7%QAT-W4A1657.6%hardware →
Avg cost / sample$0.0015–
Avg speed / sample34.36s–
By task
Object Detection
47.5%
±0.6, Mean of 3 runs, range 46.8 to 48.0
$0
–
Counting
51.4%
±2.7, Mean of 3 runs, range 48.6 to 54.0
$0
–
Identification
79.2%
±1.6, Mean of 3 runs, range 78.1 to 81.3
$0
–
OCR––
by category
Reasoning
52.8%
±1.3, Mean of 3 runs, range 51.7 to 54.3
$0
–

Gemma 4 31B vs GPT-4.1 mini: Overview

Gemma 4 31B

Gemma 4 31B is the largest dense model in Google's Gemma 4 family, built from the same research as Gemini 3 and released as open weights under the Apache 2.0 license. It supports a 256K token context window with text and image input, configurable thinking mode for step-by-step reasoning, and multilingual support across 140+ languages. The unquantized model fits on a single 80GB GPU.

For vision tasks, Gemma 4 31B supports image understanding with variable aspect ratios and resolutions, and can output structured bounding boxes for UI element detection, making it useful for document parsing and UI understanding. Compared to Gemma 3, it delivers stronger reasoning and multimodal performance. It is part of a four-size family alongside the 26B A4B MoE variant and two on-device models (E2B, E4B), with the 31B dense variant optimized for output quality and fine-tuning over inference speed.

GPT-4.1 mini

GPT-4.1 mini, released by OpenAI in April 2025, is a smaller, faster, and cheaper variant of GPT-4.1 designed for high-throughput and cost-sensitive applications. It is multimodal, handling both text and images, and inherits the full model’s strengths in coding, structured outputs, and long-context reasoning. With support for up to 1 million tokens, it enables reliable processing of extended documents, multi-file codebases, and lengthy conversations while keeping latency low.

GPT-4.1 mini offers an efficient alternative to GPT-4.1 and replaced GPT-4o mini as the default ChatGPT model in May 2025. Despite being smaller, it matches or outperforms GPT-4o on several benchmarks, particularly for instruction following and real-world coding tasks. Ideal use cases include large-scale conversational systems, affordable developer tools, document analysis, and interactive assistants where speed and cost are critical.