openai

GPT-5.3 Instant

Explore GPT-5.3 Instant, OpenAI's "Anti-Cringe" model. Features a 128K context window, 26.8% fewer hallucinations, and a natural, helpful tone for everyday...

OpenAIGPT-5MultimodalInstantChat
openai logoopenaiGPT-5March 4, 2026
Context
128Ktokens
Max Output
16Ktokens
Input Price
$1.75/ 1M
Output Price
$14.00/ 1M
Modality:TextImage
Capabilities:VisionToolsStreaming
Benchmarks
GPQA
92.4%
GPQA: Graduate-Level Science Q&A. A rigorous benchmark with 448 multiple-choice questions in biology, physics, and chemistry created by domain experts. PhD experts only achieve 65-74% accuracy, while non-experts score just 34% even with unlimited web access (hence 'Google-proof'). GPT-5.3 Instant scored 92.4% on this benchmark.
MMLU
90.1%
MMLU: Massive Multitask Language Understanding. A comprehensive benchmark with 16,000 multiple-choice questions across 57 academic subjects including math, philosophy, law, and medicine. Tests broad knowledge and reasoning capabilities. GPT-5.3 Instant scored 90.1% on this benchmark.
MMLU Pro
83%
MMLU Pro: MMLU Professional Edition. An enhanced version of MMLU with 12,032 questions using a harder 10-option multiple choice format. Covers Math, Physics, Chemistry, Law, Engineering, Economics, Health, Psychology, Business, Biology, Philosophy, and Computer Science. GPT-5.3 Instant scored 83% on this benchmark.
SimpleQA
58%
SimpleQA: Factual Accuracy Benchmark. Tests a model's ability to provide accurate, factual responses to straightforward questions. Measures reliability and reduces hallucinations in knowledge retrieval tasks. GPT-5.3 Instant scored 58% on this benchmark.
IFEval
95%
IFEval: Instruction Following Evaluation. Measures how well a model follows specific instructions and constraints. Tests the ability to adhere to formatting rules, length limits, and other explicit requirements. GPT-5.3 Instant scored 95% on this benchmark.
AIME 2025
100%
AIME 2025: American Invitational Math Exam. Competition-level mathematics problems from the prestigious AIME exam designed for talented high school students. Tests advanced mathematical problem-solving requiring abstract reasoning, not just pattern matching. GPT-5.3 Instant scored 100% on this benchmark.
MATH
98%
MATH: Mathematical Problem Solving. A comprehensive math benchmark testing problem-solving across algebra, geometry, calculus, and other mathematical domains. Requires multi-step reasoning and formal mathematical knowledge. GPT-5.3 Instant scored 98% on this benchmark.
GSM8k
99%
GSM8k: Grade School Math 8K. 8,500 grade school-level math word problems requiring multi-step reasoning. Tests basic arithmetic and logical thinking through real-world scenarios like shopping or time calculations. GPT-5.3 Instant scored 99% on this benchmark.
HumanEval
93.7%
HumanEval: Python Programming Problems. 164 hand-written programming problems where models must generate correct Python function implementations. Each solution is verified against unit tests. Top models now achieve 90%+ accuracy. GPT-5.3 Instant scored 93.7% on this benchmark.
ARC-AGI
14%
ARC-AGI: Abstraction & Reasoning. Abstraction and Reasoning Corpus for AGI - tests fluid intelligence through novel pattern recognition puzzles. Each task requires discovering the underlying rule from examples, measuring general reasoning ability rather than memorization. GPT-5.3 Instant scored 14% on this benchmark.

About GPT-5.3 Instant

Learn about GPT-5.3 Instant's capabilities, features, and how it can help you achieve better results.

The Anti-Cringe Revolution

Released on March 4, 2026, GPT-5.3 Instant is the high-speed workhorse of OpenAI's GPT-5 series, replacing GPT-5.2 as the default model for ChatGPT. Termed the Anti-Cringe update, this model specifically addresses user feedback regarding the over-cautious, moralizing, and often condescending tone found in previous versions. It prioritizes directness and natural conversational flow, reducing unnecessary safety caveats in benign contexts while maintaining a high safety bar for genuinely sensitive queries.

Technical Efficiency and Precision

Technically, GPT-5.3 Instant provides a 26.8% reduction in hallucination rates for web-based queries and a 19.7% reduction for internal knowledge tasks. While it lacks the deep multi-step reasoning capabilities of the Thinking mode, its vision precision and synthesis of web search results are significantly improved. It is designed to be a reliable partner for everyday information seeking, technical writing, and multimodal analysis, offering a faster and more human feel to the AI experience.

GPT-5.3 Instant

Use Cases for GPT-5.3 Instant

Discover the different ways you can use GPT-5.3 Instant to achieve great results.

Natural Customer Support

Engages customers with a direct, less-preachy tone that avoids excessive disclaimers during routine inquiries.

Real-Time Market Synthesis

Processes web search data to create cohesive reports on current financial news and sports statistics.

Circuit & Hardware Analysis

Utilizes high-precision vision to identify specific industrial and electronic components from photographs.

Creative Narrative Writing

Generates textured and vivid prose for storytelling, avoiding the abstract style of previous models.

Direct Educational Tutoring

Solves complex physics and math problems immediately without interrupting with moralizing lectures.

Low-Latency API Integration

Provides developers with a fast, reliable endpoint for building apps that require instant responses.

Strengths

Limitations

Significant Hallucination Drop: Achieves a 26.8% reduction in factual errors for web-based queries compared to its predecessor.
Safety Dips in Edge Cases: Benchmarks like HealthBench show a slight performance dip from 55.4% to 54.1% in high-stakes safety domains.
Anti-Cringe Conversational Tone: Eliminates robotic, moralizing, and condescending disclaimers in favor of a natural, human-like dialogue.
Lacks Deep Reasoning: As an 'Instant' model, it lacks the multi-step chain-of-thought processing found in Thinking or Pro models.
Improved Search Synthesis: Weaves web information into its internal knowledge base rather than just listing raw links or search snippets.
Persistent Emoji Usage: Community reports indicate the model still has a hard-to-train-out habit of overusing emojis in casual responses.
High Precision Vision: Boasts class-leading accuracy in identifying specific hardware components and interpreting visual subtext.
Nostalgia Gap: Some users feel the model lacks the specific intuitive warmth and connection of the legacy GPT-4o model.

API Quick Start

openai/gpt-5.3-chat-latest

View Documentation
openai SDK
import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
  const completion = await openai.chat.completions.create({
    model: "gpt-5.3-chat-latest",
    messages: [
      { role: "system", content: "You are a helpful assistant." },
      { role: "user", content: "Analyze the subtext of this request." }
    ],
    stream: true,
  });

  for await (const chunk of completion) {
    process.stdout.write(chunk.choices[0]?.delta?.content || "");
  }
}

main();

Install the SDK and start making API calls in minutes.

What People Are Saying About GPT-5.3 Instant

See what the community thinks about GPT-5.3 Instant

OpenAI drops GPT-5.3 Instant today: 'We heard your feedback loud and clear... it reduces the cringe.'... GPT-5.3 Instant kills that behavior. Fewer refusals and disclaimers.
Milk Road AI
twitter
The old version felt like talking to a lawyer. This one actually talks like a human. Still not close to Claude for deep work — but for quick answers and web searches, it's a real upgrade.
AI Search Mastery
twitter
Pretty sure GPT-5.3 Codex has been upgraded to be way faster... IT IS SO DAMN FAST. Reasoning takes a couple seconds, diffs return in seconds!
BenIt Pro
twitter
Finally, a model that doesn't lecture me for asking a basic historical question. The 'anti-cringe' tag is actually accurate.
RedditUser442
reddit
I tested the vision on some old motherboards and it's scary good. It identified resistors I could barely see.
HardwareHacker
reddit
OpenAI admitted its own model was 'cringe.' This is a huge step in making AI actually usable for daily life.
TechInsider
hackernews

Videos About GPT-5.3 Instant

Watch tutorials, reviews, and discussions about GPT-5.3 Instant

They actually fixed what was driving us crazy, and that changes everything.

In OpenAI's own tests, GPT 5.3 Instant hallucinated about 20 to 27% less often than GPT 5.2 did.

It sounds less like a robot counselor trying too hard and more like a helpful colleague who just gets it.

The speed at which it pulls in live web data is noticeably faster than the previous version.

You finally don't have to fight the model to get a straight answer on subjective topics.

these are nuanced problems that don't show up in benchmarks, but can shape whether the model feels helpful or frustrating.

It seems like this model is tuned to perhaps less strictly like cut off conversations and try to be helpful while still kind of redirecting the user.

The vision performance on fine-grained text in images is a massive leap forward.

OpenAI is clearly trying to win back the power users who migrated to Claude or local models.

Even though it's called 'Instant', the quality of prose is actually better than the old 'Pro' models.

Over cavatting is when the user is having a normal conversation and then suddenly they get sort of steered away.

The new model is less literal and more contextual. Now you can sort of joke around freely as if you're talking to a friend.

Our safety bar actually hasn't changed. We've just made it more precise.

GPT-5.3 Instant uses a new synthetic data pipeline to train out the 'preachy' behavior.

This model is designed to be the invisible assistant that stays out of your way until needed.

More than just prompts

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Pro Tips for GPT-5.3 Instant

Expert tips to help you get the most out of GPT-5.3 Instant and achieve better results.

Use Direct Commands

Since the model is less prone to refusal, skip polite padding and use direct, imperative instructions for better efficiency.

Prompt for Subtext

Ask the model to 'read the room' or 'analyze the subtext' as it excels at understanding intent behind vague queries.

Leverage Synthesis

Instead of asking for links, ask the model to 'synthesize' web results with its own knowledge for a more unified answer.

Visual Context Comparisons

When using vision, provide multiple images; the model is excellent at identifying differences and emotional impacts.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

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Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

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Ben Bressington

Ben Bressington

CTO, AiChatSolutions

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Sarah Chen

Head of Growth, ScaleUp Labs

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Emily Rodriguez

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Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

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Marketing Director, GrowthMetrics

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Frequently Asked Questions About GPT-5.3 Instant

Find answers to common questions about GPT-5.3 Instant