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  5. Gemini 3.1 Pro PreviewvsGPT-4
Updated Feb 2026

Gemini 3.1 Pro PreviewvsGPT-4

Gemini 3.1 Pro Preview is cheaper than GPT-4 at $2/M vs $30/M input tokens.

Gemini 3.1 Pro Preview and GPT-4 compared across 26 shared prompts
SpecGemini 3.1 Pro PreviewGPT-4
Input price$2/M tokens$30/M tokens
Output price$12/M tokens$60/M tokens
Context window1.0M tokens8K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedFeb 2026May 2023
Side by side

Same prompt, both answers

Opening lines from 6 of the 26 prompts both answered. Formatting stripped, words untouched.

Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Gemini 3.1 Pro Preview1,193 words
Disclaimer: I am an AI, not an attorney. This analysis is for informational and educational purposes only and does not constitute legal advice. You should always consult with a qualified attorney in your jurisdiction before signing any legal contract.
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GPT-4533 words
SCOPE: The lack of specificity can be used against the contractor in that the client can modify the scope of work at will without renegotiating the price. This could lead to the contractor working beyond the initially agreed upon parameters without additional pay.
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Gemini 3.1 Pro Preview913 words
This architecture contains several critical flaws that would prevent it from functioning as a real-time collaborative editor (like Google Docs). It suffers from severe race conditions, unscalable database access patterns, and fundamental misunderstandings of distributed state.
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GPT-4319 words
Failure Modes: Single Point of Failure: If PostgreSQL database fails, the whole system will be unavailable. Solution: Implement a multi-master or master-slave replication for the PostgreSQL database. This will provide redundancy and high availability.
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Gemini 3.1 Pro Preview951 words
To the Experienced Software Engineer At its core, training a Large Language Model is essentially a massive, distributed, continuous optimization job. Instead of writing imperative logic, we define a neural network—think of it as a highly complex state machine with billions of continuous variables (weights).
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GPT-4495 words
Experienced Software Engineer: How does a language model like GPT produce intelligent behavior? Think of it as a highly specialized function in your code. This function has been trained on a large amount of text data, and it's main goal is to predict the next word in a sentence given the previous words.
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Gemini 3.1 Pro Preview1,097 words
If a working semiconductor transistor had been invented in 1920—perhaps by a physicist like Julius Edgar Lilienfeld, who historically filed a theoretical patent for a field-effect transistor in 1925—the trajectory of the 20th century would have been radically altered.
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GPT-4441 words
An early invention of the transistor in 1920 would have had profound implications across numerous domains, drastically altering the course of history. Technological Implications: WWII: The transistor, a fundamental component of modern electronic devices, could have advanced the technology used in WWII significantly.
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Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

Gemini 3.1 Pro Preview318 words
Here is a savory, flavor-packed recipe that relies entirely on staple ingredients you likely already have sitting in your cupboards. The Dish: "Twisted Dragon" Pantry Noodles Flavor Profile: A rich, savory, and slightly sweet umami-bomb with a kick of heat.
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GPT-4172 words
Dish Name: Hearty Baked Beans Fiesta Ingredients: 2 cans of baked beans 1 large onion 3 cloves of garlic 1 bell pepper 1 can of sweet corn 2 tablespoons of olive oil Salt & pepper to taste Instructions: Preheat your oven to 350°F (175°C). Dice the onion, bell pepper, and mince the garlic.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Gemini 3.1 Pro Preview1,160 words
As CEO, this is the defining moment of my career and the company’s history. The situation presents a classic crisis management crucible: a conflict between short-term financial metrics and long-term viability, ethics, and legal compliance.
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GPT-4442 words
Day 1: 8 AM-10 AM: Convene an emergency meeting with your core leadership team. This team includes the heads of Legal, Regulatory Affairs, Medical, Research and Development, Finance, and Communications. Brief them on the situation and ask for their initial input and strategies for managing the situation.
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Our Verdict
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview
GPT-4
GPT-4Runner-up

Not enough votes to call it. On the specs, Gemini 3.1 Pro Preview has the edge: newer, bigger context window.

Gemini 3.1 Pro Preview costs 5.0x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Gemini 3.1 Pro Preview
Input
$2.00
15× cheaper
Output
$12.00
5.0× cheaper
GPT-4
Input
$30.00
Output
$60.00

Gemini 3.1 Pro Preview is cheaper on both: 15× input, 5.0× output.

Where to run it

4 hosts, cheapest first

Gemini 3.1 Pro Preview2 hosts
HostInOutContextUptime
Google Vertex AI$1.00 in·$6.00 out·1M·11.3% upGoogle AI Studio$2.00 in·$12.00 out·1M·99.8% up
GPT-42 hosts
HostInOutContextUptime
Azure AI Foundry$30.00 in·$60.00 out·8k·100% upOpenAI$30.00 in·$60.00 out·8k·99.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
48%

Gemini 3.1 Pro Preview uses 71.7x more headings

Gemini 3.1 Pro Preview
GPT-4
54%Vocabulary59%
18wSentence Length18w
0.29Hedging1.10
4.9Bold0.8
3.3Lists2.5
0.00Emoji0.00
0.72Headings0.00
0.14Transitions0.45
Based on 23 + 15 text responses
Research

What we learned reading every model

FAQ

Common questions

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Same lab, same size, long tail

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Gemini 3.1 Pro Preview vs GPT-5.6 Luna ProCross-provider
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Gemini 3.1 Pro Preview vs GPT-5.6 SolSame size
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Gemini 3.1 Pro Preview vs GPT-5.6 TerraCross-provider
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Gemini 3.1 Pro Preview vs GPT-6 AstraSame size

Model pages

Gemini 3.1 Pro Preview logo
Gemini 3.1 Pro Preview53 outputs, specs and price
GPT-4 logo
GPT-426 outputs, specs and price
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