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Gemma 4 26B A4B vs GPT-4.1 mini

Compare Gemma 4 26B A4B 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.

Compare Gemma 4 26B A4B vs GPT-4.1 mini live

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GoogleGemma 4 26B A4B
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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 26B A4B vs GPT-4.1 mini Comparison Table

Evals updated October 8, 2026Pricing updated October 11, 2026

PropertyGemma 4 26B A4BGPT-4.1 mini
OrganizationGoogleOpenAI
Categoryopenclosed
Modalitymultimodalmultimodal
Release DateApr 2026Apr 2025
Context Window256K1.0M
Parameters25.2BUnknown
LicenseApache 2.0Proprietary
Pricing per 1M tokens
Input $/1M$0.068$0.400
Output $/1M$0.225$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
54.1%
4/5 tasks
Deprecated
Quantizationsself-hosted
BF1651.6%FP854.1%AWQ-INT452.0%hardware →
Avg cost / sample$0.0019–
Avg speed / sample27.84s–
By task
Object Detection
44.2%
±0.7, Mean of 3 runs, range 43.5 to 44.8
$0
–
Counting
43.2%
±2.0, Mean of 3 runs, range 41.9 to 46.0
$0
–
Identification
81.3%
±3.1, Mean of 3 runs, range 78.1 to 84.4
$0
–
OCR––
by category
Reasoning
47.7%
±2.0, Mean of 3 runs, range 45.0 to 49.0
$0
–

Gemma 4 26B A4B vs GPT-4.1 mini: Overview

Gemma 4 26B A4B

Gemma 4 26B A4B is the Mixture-of-Experts variant in Google's Gemma 4 family, with 25.2B total parameters but only 3.8B active per token. Built from the same Gemini 3 research as the 31B dense sibling and released as open weights under the Apache 2.0 license, it supports a 256K token context window with text and image input and configurable thinking mode. The "A4B" in the name refers to its approximately 4B active parameters. The MoE design makes it significantly faster at inference than the dense 31B, running nearly as fast as a 4B-parameter model while delivering roughly 97% of the dense model's quality.

For vision tasks, the 26B A4B shares the same multimodal capabilities as the 31B image understanding with variable aspect ratios and resolutions, and structured bounding box output for UI element detection. The tradeoff versus the 31B dense model is a small quality reduction in exchange for much faster inference and lower hardware requirements, fitting in 18GB of VRAM at 4-bit quantization. It ranked #6 among open models on the Arena AI text leaderboard at launch.

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.