GPT-5.5 API launched on APIYI: 15% off official resources, get extra credits starting from a 100 deposit

Author's Note: The flagship OpenAI GPT-5.5 API is now officially live on the APIYI platform. We provide direct official resources with pricing identical to the official site. Plus, if you top up $100, you'll receive an extra $10, making your effective cost 15% lower than the official price. It's ready to use right out of the box.

OpenAI officially released GPT-5.5 on April 23, 2026, and opened the API interface immediately. This is the first completely retrained base model since GPT-4.5. It supports a 1-million-token context window, with official pricing set at $5 per million tokens for input and $30 per million tokens for output.

This isn't just another minor version iteration. OpenAI describes GPT-5.5 as "a new class of intelligence." It scored 84.9% on the GDPval cross-occupational knowledge work benchmark and achieved 78.7% on the OSWorld-Verified real-world computer environment control task. The GitHub repository and various media outlets (TechCrunch, CNBC, The New Stack) have confirmed the release.

To help developers in China get started immediately, APIYI (apiyi.com) has synced the launch of GPT-5.5 official resources. Pricing remains consistent with the official OpenAI site, and when combined with our top-up bonus, you get the equivalent of a 15% discount. No overseas credit cards or network proxies are needed, and the invocation method is fully compatible with the official OpenAI SDK.

Core Value: In just 3 minutes, you'll learn about the capabilities of GPT-5.5, its official pricing, how to integrate it via APIYI, and how to lower your costs when using this "currently smartest general-purpose model."

GPT-5.5 API Key Highlights

Deep Dive into GPT-5.5 Capabilities

GPT-5.5 is the first completely retrained base model from OpenAI since GPT-4.5, not just a simple fine-tuned upgrade to the GPT-5 series. Its improvements in coding, agentic tasks, and scientific tool usage are significantly better than the typical small updates from GPT-5.4 to 5.5. It achieved a score of 84.9% on GDPval (a knowledge work benchmark covering 44 occupations) and reached 98.0% on the Tau2-bench telecom customer service process benchmark without any prompt engineering. Both represent new highs for OpenAI models.

Even more impressive is the leap in scientific research tasks. On benchmarks like GeneBench (multi-stage genetics and quantitative biology analysis), GPT-5.5 scored 25.0%, a 6-percentage-point increase over the 19.0% achieved by GPT-5.4. OpenAI explicitly stated that the new model "is smarter than GPT-5.4 and significantly more token-efficient." This means that even with the higher unit price, the total cost for completing the same task might actually decrease—a point we will verify in our upcoming APIYI tests.

GPT-5.5 API Official Pricing and Context Specifications

Complete Pricing Table

Pricing Note: The pricing above is sourced from the official OpenAI announcement (developers.openai.com/api/docs/pricing) and applies to scenarios using the OpenAI API directly. When using APIYI (apiyi.com) to perform model invocation, you can pay in CNY based on the official exchange rate conversion. With our first-deposit bonus, the overall cost is effectively about 15% off the official price, and you won't need an overseas credit card or complex network configurations.

Price Comparison with the GPT-5 Series

The unit price for GPT-5.5 is roughly double that of GPT-5.4. However, OpenAI repeatedly emphasized at their launch event that "GPT-5.5 significantly reduces the total tokens required to complete the same task." Tests from various media outlets (the-decoder.com, apidog.com) confirm this conclusion—across the same Agent workflow, GPT-5.5's token consumption is approximately 60%-70% of GPT-5.4's. Therefore, the actual cost per task may not necessarily be higher than GPT-5.4.

Recommendation: If your Agent workflow involves more than 5 steps and requires tool calling and long-term memory in the context window, GPT-5.5 is currently the most cost-effective choice. You can use the free credit provided by APIYI (apiyi.com) to run a full workflow comparison before finalizing your production configuration.

How to Access the GPT-5.5 API via APIYI

Minimalist Invocation Example

Our service is fully compatible with the official OpenAI SDK; simply replace the base_url and api_key fields:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_APIYI_KEY",
    base_url="https://vip.apiyi.com/v1"
)

response = client.chat.completions.create(
    model="gpt-5.5",
    messages=[
        {"role": "user", "content": "Write code to implement quicksort and explain the key steps"}
    ]
)

print(response.choices[0].message.content)

from openai import OpenAI
from typing import Optional, Iterator
import os

class GPT55Client:
    """GPT-5.5 API wrapper for APIYI"""

    def __init__(self, api_key: Optional[str] = None):
        self.client = OpenAI(
            api_key=api_key or os.getenv("APIYI_API_KEY"),
            base_url="https://vip.apiyi.com/v1"
        )
        self.model = "gpt-5.5"

    def chat(
        self,
        prompt: str,
        system: Optional[str] = None,
        max_tokens: int = 4096,
        temperature: float = 0.7
    ) -> str:
        """Standard invocation mode"""
        messages = []
        if system:
            messages.append({"role": "system", "content": system})
        messages.append({"role": "user", "content": prompt})

        try:
            resp = self.client.chat.completions.create(
                model=self.model,
                messages=messages,
                max_tokens=max_tokens,
                temperature=temperature
            )
            return resp.choices[0].message.content
        except Exception as e:
            return f"Call failed: {str(e)}"

    def stream(
        self,
        prompt: str,
        system: Optional[str] = None
    ) -> Iterator[str]:
        """Streaming response mode"""
        messages = []
        if system:
            messages.append({"role": "system", "content": system})
        messages.append({"role": "user", "content": prompt})

        stream = self.client.chat.completions.create(
            model=self.model,
            messages=messages,
            stream=True
        )

        for chunk in stream:
            content = chunk.choices[0].delta.content
            if content:
                yield content


# Usage example
if __name__ == "__main__":
    bot = GPT55Client()

    # Mode 1: Standard call
    print(bot.chat("Explain the core improvements of GPT-5.5 compared to GPT-5.4"))

    # Mode 2: Streaming response
    for token in bot.stream("Write a Python decorator for rate limiting"):
        print(token, end="", flush=True)

Getting Started: After registering an account on APIYI (apiyi.com), you'll receive testing credits that you can use to run the code above immediately. Just replace the base_url with https://vip.apiyi.com/v1. The service is compatible with official OpenAI Python, Node, and Go SDKs, so there's no need to change your business logic.

Model Strings and Variants

Choosing a Model: If you aren't sure whether the performance difference between gpt-5.5 and gpt-5.5-pro is worth the 6x price difference, we recommend using APIYI (apiyi.com) to run 100 comparisons using your actual business prompt to evaluate response quality before making a production decision.

GPT-5.5 Official Proxy vs. Direct Official API Access

Comparison Breakdown

Official Access Analysis: OpenAI's official platform remains the leader in feature priority and documentation completeness. However, for domestic developers, hurdles like needing international credit cards, network instability, corporate payment compliance, and exchange rate volatility add up to significant hidden costs—not to mention the headache of managing bills for team collaborations. By contrast, APIYI (apiyi.com) is much better suited for small-to-medium teams and enterprise users due to its compliant domestic payment options, Chinese-language support, and unified billing.

Third-Party Aggregator Analysis: To cut costs, some third-party aggregators may rely on "mixed channels" or "reverse-engineered interfaces," leading to unstable response quality or context truncation. Conversely, APIYI’s GPT-5.5 channel is clearly labeled as "Official Proxy," ensuring the input and output match the official version exactly. With prices on par with the official site and a 15% discount benefit from top-up bonuses, it’s a much safer bet for users who prioritize production environment stability.

Data Source: The comparison above is based on official OpenAI documentation (developers.openai.com) and the public service disclosures of APIYI (apiyi.com). You can perform small-scale tests on both platforms using the same prompt to verify the response consistency.

GPT-5.5 API Use Cases

With its 1 million token context window and enhanced agent capabilities, GPT-5.5 delivers clear value in the following areas:

• Agent Programming & Code Refactoring: Handles refactoring across multi-file codebases, bug fixes, and automated test generation. The integration of Codex allows it to process a 400k token long context, making it perfect for "entire-repository" level refactoring tasks.
• Complex Customer Service Automation: Achieving a 98% score on the Tau2-bench Telecom benchmark, GPT-5.5 can independently handle multi-turn, multi-tool, and multi-branch customer service workflows.
• Research & Data Analysis: A 6-percentage-point increase on GeneBench means GPT-5.5 is currently one of the strongest foundational models for complex, multi-stage analytical tasks in fields like biomedicine, econometrics, and chemical reaction path prediction.
• Long-Document Intelligent Processing: Supporting a 1 million token context window, it can ingest an entire medium-length novel or a complete set of legal contracts in one go, without the need for chunking.
• Enterprise Knowledge Assistant: Scoring 84.9% on GDPval across 44 professions—including law, accounting, consulting, and medicine—GPT-5.5 has reached production-level proficiency.

Recommendation: If your application involves several of the scenarios mentioned above, we suggest testing both gpt-5.5 and gpt-5.5-pro models directly on APIYI (apiyi.com) using a single API key, so you don’t have to manage separate accounts and keys for different providers.

Industry Impact Analysis of GPT-5.5

The release of GPT-5.5 will have a direct impact on three key areas: the AI application layer, Agent frameworks, and enterprise services. Combining the official OpenAI announcement with the integration of Codex by NVIDIA (which has already announced the deployment of GPT-5.5 in its internal data center operations), we believe this release has industry-wide significance across at least three levels.

Impact on the Agent Application Layer

Over the past six months, Agent frameworks (LangGraph, AutoGen, Crew AI, etc.) have been limited by the multi-step planning capabilities of underlying models—GPT-5.4's stability would drop significantly in tool-use chains exceeding 8 steps. GPT-5.5’s score of 78.7% on OSWorld-Verified means the success rate for real-world computer operation tasks has crossed the threshold for "commercial viability."

Impact Assessment: Over the next 3–6 months, mainstream Agent frameworks will rapidly adopt GPT-5.5 as the default inference engine. If you are building Agent-based applications, we recommend switching and testing via APIYI (apiyi.com) as early as possible to verify the stability improvements in your business workflows.

Impact on API Proxy Services

The unit price for GPT-5.5 is roughly double that of GPT-5.4, which places higher demands on the compliance and resource stability of API proxy services. The gap between "Official Proxy Resources" and "Mixed Channels" will become even more apparent—the former guarantees stability for production environments, while the latter, though cheaper, carries significant risks. APIYI explicitly labels its "Official Proxy Resources" for GPT-5.5 and maintains pricing exactly aligned with the official model, reflecting our commitment to this trend.

Impact on Enterprise AI Investment

A score of 84.9% on GDPval means that GPT-5.5 has reached the level of a "junior expert" in supporting tasks across 44 professional fields, including law, accounting, consulting, and medicine. The official OpenAI announcement states that "enterprises can integrate GPT-5.5 into core business processes," a significantly stronger stance than that of the GPT-5 series.

Practical Guide to Migrating from GPT-5.4 to GPT-5.5

Migration Decision Matrix

Code-Level Migration Costs

GPT-5.4 and GPT-5.5 are 100% compatible at the API protocol level, making migration costs extremely low:

# Before migration: GPT-5.4
response = client.chat.completions.create(
    model="gpt-5.4",  # Only this line needs changing
    messages=messages
)

# After migration: GPT-5.5
response = client.chat.completions.create(
    model="gpt-5.5",  # Simply change to gpt-5.5
    messages=messages
)

from openai import OpenAI
import time
from typing import Dict, Any

client = OpenAI(
    api_key="YOUR_APIYI_KEY",
    base_url="https://vip.apiyi.com/v1"
)

def benchmark_model(
    model: str,
    test_prompts: list[str]
) -> Dict[str, Any]:
    """Compare model response quality and token efficiency"""
    total_input = 0
    total_output = 0
    total_time = 0
    responses = []

    for prompt in test_prompts:
        start = time.time()
        resp = client.chat.completions.create(
            model=model,
            messages=[{"role": "user", "content": prompt}]
        )
        elapsed = time.time() - start

        total_input += resp.usage.prompt_tokens
        total_output += resp.usage.completion_tokens
        total_time += elapsed
        responses.append(resp.choices[0].message.content)

    return {
        "model": model,
        "total_input_tokens": total_input,
        "total_output_tokens": total_output,
        "avg_latency": total_time / len(test_prompts),
        "responses": responses
    }


# Prepare 5 real business prompts
test_prompts = [
    "Please refactor the following Python code to better comply with PEP 8...",
    "Analyze this sales data and provide trend predictions and anomalies...",
    "Design a multi-turn conversation script for our customer service system...",
    "Summarize the key risk points of this 50-page legal contract...",
    "Use React + TypeScript to implement a drag-and-drop dashboard component..."
]

# Compare GPT-5.4 and GPT-5.5
result_54 = benchmark_model("gpt-5.4", test_prompts)
result_55 = benchmark_model("gpt-5.5", test_prompts)

# Calculate costs ($)
cost_54 = (result_54["total_input_tokens"] * 2.5 +
           result_54["total_output_tokens"] * 15) / 1_000_000
cost_55 = (result_55["total_input_tokens"] * 5 +
           result_55["total_output_tokens"] * 30) / 1_000_000

print(f"GPT-5.4 Total Cost: ${cost_54:.4f}")
print(f"GPT-5.5 Total Cost: ${cost_55:.4f}")
print(f"GPT-5.5 Average Latency: {result_55['avg_latency']:.2f}s")

Migration Tip: Run this comparison code with your actual business prompts before making the switch. On APIYI (apiyi.com), you can call both gpt-5.4 and gpt-5.5 using the same API key, making it easy to run objective comparisons.

Three Details to Monitor After Migration

1. Different Rate Limits: During the initial rollout of GPT-5.5, rate limits are stricter (Tier 1 is approximately 500 RPM); you may need to request an increase for high-concurrency tasks.
2. Higher Value in Caching: GPT-5.5 offers a cached input price of $0.50/M tokens (only 1/10th of the regular price). Be sure to enable caching for system prompts that are called frequently.
3. Use Pro Version with Caution: The $30/$180 price point for GPT-5.5 Pro is 6 times that of the standard version—only upgrade if the standard version cannot consistently complete your tasks.

FAQ

GPT-5.5 API Key Takeaways

• GPT-5.5 is a Next-Gen Foundation Model: The first complete retrain since GPT-4.5, released on April 23, 2026, with a 1M context window.
• Transparent Official Pricing: Standard version at $5/$30, Pro version at $30/$180, with cached input as low as $0.50.
• Substantial Improvements in Agents and Programming: 84.9% on GDPval, 78.7% on OSWorld, and 98% on Tau2-bench, with optimized token efficiency.
• APIYI Synchronous Official Transit Launch: Matches official pricing with first-deposit bonuses (get $10 free on a $100 deposit), effectively ~15% off.
• Compliant Access in China: APIYI (apiyi.com) supports RMB settlement, Chinese-language customer service, corporate invoicing, and is 100% compatible with the OpenAI SDK.
• Recommended Production Stack: Use gpt-5.5 for complex agents, gpt-5.5-pro for critical reasoning, and GPT-5 mini for high-frequency, simple tasks.

Summary

Here are the key takeaways regarding the launch of the GPT-5.5 API on APIYI:

1. Capability Level: GPT-5.5 is the first foundational model OpenAI has fully retrained since GPT-4.5, delivering generational leaps in agentic workflows, programming, and scientific research.
2. Official-Grade Pricing: APIYI provides official-level resources, with pricing identical to OpenAI's website and absolutely no compromise on quality.
3. First-Deposit Bonus: Get a 10% bonus (e.g., pay $100, get $110), effectively offering a 15% discount compared to the official price. Plus, we support CNY payments, provide native Chinese language support, and offer corporate invoicing, making it much more accessible for domestic developers.

If you need to access GPT-5.5 immediately from within China while avoiding the hidden costs of international credit cards and network proxies, we recommend connecting via APIYI at apiyi.com. The platform offers deposit bonuses, unified billing, and full compatibility with the OpenAI SDK—you can get up and running simply by updating the base_url in your existing code.

Related Articles

If you're interested in the GPT-5.5 API, we recommend checking out these resources:

• 📘 GPT-5.5 vs. Claude Opus 4.7: A Deep Dive into Programming Capabilities – Explore the differences in code generation between these top-tier models.
• 📊 Hands-on with GPT-5.5's Long Context: How Does It Perform with 1 Million Tokens? – Validating the official context window promises.
• 🚀 The Complete Guide to Migrating from GPT-5.4 to GPT-5.5 – Smoothly upgrade your production environment.

📚 References

1. OpenAI Official Announcement: GPT-5.5 Release Notes

   • Link: openai.com/index/introducing-gpt-5-5
   • Description: First-hand release information, capability descriptions, and benchmark data.

2. OpenAI API Pricing: Official Pricing Page

   • Link: developers.openai.com/api/docs/pricing
   • Description: Complete pricing information for GPT-5.5, GPT-5.5 Pro, Batch, and Flex.

3. GPT-5.5 System Card: Deployment Safety and Capability Analysis

   • Link: deploymentsafety.openai.com/gpt-5-5
   • Description: Officially released safety evaluations and benchmark results.

4. TechCrunch Report: Industry Significance of GPT-5.5

   • Link: techcrunch.com/2026/04/23/openai-chatgpt-gpt-5-5-ai-model-superapp
   • Description: An analysis of the release's significance from the perspective of third-party media.

5. APIYI Platform Documentation: GPT-5.5 API Proxy Service Integration Guide

   • Link: docs.apiyi.com
   • Description: A comprehensive guide for domestic developers to integrate GPT-5.5, including pricing, models, and SDK examples.

Author: APIYI Technical Team
Technical Discussion: Feel free to discuss your hands-on experience with the GPT-5.5 API in the comments section. For more integration guides, please visit the APIYI documentation center at docs.apiyi.com.