GPT-5.4 API Guide 2026: Access OpenAI From Any Country
What This Guide Covers: GPT-5.4 (model ID: gpt-5.4-2026-03-05) became available on March 5, 2026. This guide provides a complete developer reference: every supported API endpoint, exact pricing figures, rate limits across all tiers, the new tools available exclusively with GPT-5.4, and a practical walkthrough for developers who need to access OpenAI's API from countries where it is restricted or throttled. If you've been locked out of OpenAI due to geographic restrictions, this guide has the solution.
GPT-5.4 Model IDs and Versions
OpenAI provides both an alias and a versioned snapshot ID. Use the versioned ID when you need consistent, locked behavior for production systems:
Alias (Latest)
model="gpt-5.4"
Always points to the latest GPT-5.4 snapshot. OpenAI may update this silently. Use for development and experimentation where you want the latest improvements automatically.
Versioned Snapshot (Stable)
model="gpt-5.4-2026-03-05"
Locked to the March 5, 2026 release. Behavior is guaranteed to remain identical. Use for production systems where reproducibility and regression testing matter.
GPT-5.4 Pro Variant
A GPT-5.4 Pro variant is available for high-performance workloads. Model ID: gpt-5.4-pro-2026-03-05. Pro offers higher rate limits, priority processing, and optimizations for sustained enterprise throughput. Pricing is higher — check OpenAI's pricing page for current Pro rates.
Complete Pricing Reference
GPT-5.4 pricing is competitive for its capability tier. Understanding the token economics helps you estimate costs before building:
| Token Type | Standard Price | Batch API Price | Notes |
|---|---|---|---|
| Input tokens | $2.50/1M | $1.25/1M | All modalities: text and image |
| Cached input tokens | $0.25/1M | $0.125/1M | 90% discount — reuse expensive system prompts |
| Output tokens | $15.00/1M | $7.50/1M | Main cost driver for long completions |
| Long context surcharge | 2× input, 1.5× output | Same multiplier | Applied when input > 272K tokens in a session |
| Regional processing | +10% all prices | +10% | Data residency endpoints (EU, Japan, etc.) |
All Supported API Endpoints
GPT-5.4 supports a comprehensive set of endpoints. Notably, it is the first GPT model to support computer use via the Responses API:
| Endpoint | Path | GPT-5.4 | Key Use Case |
|---|---|---|---|
| Responses API | v1/responses | ✅ Primary | Agentic workflows, computer use, multi-turn with tools |
| Chat Completions | v1/chat/completions | ✅ | Standard Q&A, code generation, text tasks |
| Realtime | v1/realtime | ✅ | Voice agents, real-time audio transcription |
| Assistants | v1/assistants | ✅ | Persistent threads with tools and file access |
| Batch | v1/batch | ✅ (50% off) | Async bulk processing — best cost efficiency |
| Fine-tuning | v1/fine-tuning | ❌ Not supported | Use GPT-5 mini for fine-tuning use cases |
| Images | v1/images/generations | ✅ | Image generation via DALL-E integration |
| Videos | v1/videos | ✅ New | Video generation (Sora integration) |
New Tools Exclusive to GPT-5.4
GPT-5.4 introduces several new tools available through the Responses API that were not available in previous models:
computer_use
The flagship new tool. Enables the model to receive screenshots and output click/type/scroll/key actions. Tool call: {"type": "computer_use"}
mcp (Model Context Protocol)
Native MCP support lets GPT-5.4 connect directly to MCP servers — databases, APIs, file systems — without custom integration code.
hosted_shell
Execute shell commands in a sandboxed environment managed by OpenAI. The model can run code, install packages, and process data without you managing a separate execution environment.
skills
Install pre-built capability packages that extend the model's abilities for specific domains (accounting workflows, legal document analysis, medical coding, etc.).
# Using Multiple Tools in a Single GPT-5.4 Response
response = client.responses.create(
model="gpt-5.4-2026-03-05",
tools=[
{"type": "computer_use"},
{"type": "web_search"},
{"type": "code_interpreter"},
{"type": "file_search", "vector_store_ids": ["vs_abc123"]}
],
reasoning={"effort": "high"},
input=[{"role": "user", "content": "Research competitors, write a comparison, and save to a spreadsheet"}]
)
Rate Limits by Usage Tier
Rate limits automatically increase as you spend more. Here are the limits for the long context variant (which most GPT-5.4 use cases require):
| Tier | RPM | TPM | Batch Queue | Unlock Requirement |
|---|---|---|---|---|
| Free | Not supported | N/A | N/A | GPT-5.4 requires paid API |
| Tier 1 | 500 | 500K | 1.5M | $5 spend + 7 days |
| Tier 2 | 5,000 | 1M | 3M | $50 spend + 7 days |
| Tier 3 | 5,000 | 2M | 100M | $100 spend + 7 days |
| Tier 4 | 10,000 | 4M | 200M | $250 spend + 14 days |
| Tier 5 | 15,000 | 40M | 15B | $1,000 spend + 30 days |
Getting Started: Full Code Examples
1. Basic Chat Completion (Python)
from openai import OpenAI
client = OpenAI() # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
model="gpt-5.4",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain GPT-5.4's computer use capability in simple terms."}
],
reasoning={"effort": "medium"} # none, low, medium, high, xhigh
)
2. Streaming Response (for Real-Time UI)
with client.chat.completions.stream(
model="gpt-5.4",
messages=[{"role": "user", "content": "Write a 1000-word essay on AI agents."}]
) as stream:
for text in stream.text_stream:
print(text, end="", flush=True)
3. Batch Processing (50% Cost Reduction)
# Create a batch JSONL file
batch = client.batches.create(
input_file_id="file-abc123", # JSONL with multiple requests
endpoint="/v1/chat/completions",
completion_window="24h"
)
Accessing GPT-5.4 API from Restricted Countries
OpenAI's API is currently unavailable or severely throttled in the following countries and territories:
Even in countries where OpenAI is technically available, some ISPs throttle HTTPS traffic to api.openai.com, causing timeout errors at the API level. This manifests as random ReadTimeoutError or ConnectionResetError exceptions in your code, especially during long-running streaming or computer use sessions.
API Connection Stability Test
import time, openai
client = openai.OpenAI()
for i in range(5):
start = time.time()
client.models.list()
print(f"Ping {i+1}: {(time.time()-start)*1000:.0f}ms")
Run this test before and after connecting to VPN07. Target: under 200ms average, zero failures over 5 pings. If you see timeouts or >500ms without VPN, your ISP is throttling OpenAI API traffic.
Solution: VPN Proxy for API Calls
Route your API traffic through a VPN server in a supported country. The openai Python SDK respects standard HTTP proxy environment variables:
# Set in your shell environment
export HTTPS_PROXY="http://127.0.0.1:7890" # VPN07 local proxy port
export HTTP_PROXY="http://127.0.0.1:7890"
# Or pass to client directly
import httpx
client = openai.OpenAI(http_client=httpx.Client(proxy="http://127.0.0.1:7890"))
Best Practices for Production GPT-5.4 Integration
Use Prompt Caching for Repeated System Prompts
If your system prompt is large and consistent across requests (common in agentic setups), cached input tokens cost 90% less ($0.25 vs $2.50 per 1M). Structure your prompts so the large static context comes first — OpenAI automatically caches the longest matching prefix.
Use Batch API for Non-Urgent High-Volume Work
The Batch API processes requests asynchronously within 24 hours at 50% discount. For tasks like bulk document analysis, content generation for a product catalog, or data extraction from thousands of files, batch mode cuts your costs in half with no quality difference.
Implement Exponential Backoff for Rate Limit Errors
GPT-5.4 will occasionally return 429 rate limit errors at lower tiers during high-traffic periods. Always implement retry logic with exponential backoff: wait 1s, then 2s, then 4s, then 8s before each retry attempt. The openai Python SDK includes built-in retry with max_retries=3.
Pin Model Version for Production
Always use gpt-5.4-2026-03-05 (not just gpt-5.4) in production. When OpenAI releases GPT-5.5 or updates the alias, your system prompt, few-shot examples, and expected output format may need recalibration. Pinning prevents surprise behavioral changes after alias updates.
Pre-Launch API Integration Checklist
Before shipping a GPT-5.4 integration to production, run through this checklist to ensure reliability and cost predictability:
API key stored in environment variable
Never hardcode API keys in source code. Use env vars or secrets managers.
Max tokens limit set per request
Use max_completion_tokens to cap output length and prevent runaway generation costs.
Retry logic with exponential backoff
Handle 429 (rate limit) and 503 (server busy) errors gracefully with increasing wait times.
Spend limit configured in OpenAI dashboard
Set both a monthly soft limit (alert) and hard limit (stop) to prevent unexpected billing surprises.
Model ID pinned to versioned snapshot
Use gpt-5.4-2026-03-05 not gpt-5.4 for production stability.
Token usage logged per request
Track input/output/cached token counts for cost analysis and per-user billing if applicable.
Network connectivity tested from deployment region
Verify that your production server can reach api.openai.com without throttling. Use VPN07 if deploying in Asia.
Content moderation outputs handled
GPT-5.4 may refuse certain requests. Your application must gracefully handle finish_reason: "content_filter" responses.
Frequently Asked Questions
Q: Is there a free tier for GPT-5.4?
No. GPT-5.4 is not available on the free tier. You need a paid OpenAI API account and at least $5 in prior spend to unlock Tier 1 access. GPT-4o mini and GPT-5 mini do have free tier access for basic experimentation, but GPT-5.4 requires billing setup. Once you're on a paid plan, the minimum spend to start using GPT-5.4 is low — even a $10 prepaid credit gets you access to hundreds of typical completions.
Q: Can I use GPT-5.4 API if I'm not in a supported country?
OpenAI's terms of service require usage from supported countries. Many developers work around geographic restrictions for legitimate development purposes by routing API calls through VPN servers located in the US, UK, or EU. VPN07 provides 1000Mbps connections to 70+ countries, including optimal routing to US and EU OpenAI data centers for developers in Asia and other regions.
Q: What is the knowledge cutoff for GPT-5.4?
GPT-5.4's training data has a knowledge cutoff of August 31, 2025. For current information beyond that date, use the built-in web_search tool in the Responses API, which retrieves live search results. This is particularly important for news, recent AI model releases, market data, and any rapidly evolving topic areas.
Reasoning Effort: A New GPT-5.4 Feature
GPT-5.4 introduces a reasoning.effort parameter that controls how much internal computation the model spends before answering. This is a major tool for balancing cost and quality:
| Effort Level | Speed | Quality | Token Cost | Best For |
|---|---|---|---|---|
| none | Fastest | Standard | 1× | Simple Q&A, summaries, translations |
| low | Fast | Good | 1.2× | Coding, classification, extraction tasks |
| medium | Moderate | High | 1.5× | Analysis, document review, planning |
| high | Slow | Very High | 2× | Math, complex reasoning, code debugging |
| xhigh | Slowest | Maximum | 3–4× | Research synthesis, advanced agentic tasks |
# Setting Reasoning Effort by Task Type
response = client.chat.completions.create(
model="gpt-5.4",
messages=[{"role":"user","content":prompt}],
reasoning={"effort": "high"} # Use for complex problems
)
Cost Optimization with Reasoning Effort
Default (none) reasoning is sufficient for 70% of typical tasks. Using reasoning={"effort":"none"} on simple tasks and reserving high or xhigh for genuinely complex reasoning tasks can reduce your total API spend by 40–60% without sacrificing quality where it matters.
Complete JavaScript / Node.js Example
For developers building web applications and backend services with Node.js, here's the complete integration pattern:
// Node.js / TypeScript integration for GPT-5.4
import OpenAI from "openai";
const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
async function callGPT54(userMessage: string): Promise<string> {
const response = await client.chat.completions.create({
model: "gpt-5.4-2026-03-05",
messages: [{ role: "user", content: userMessage }],
reasoning: { effort: "medium" },
max_completion_tokens: 4096,
});
return response.choices[0].message.content ?? "";
}
// With automatic retry via VPN-routed HTTP client
const proxyClient = new OpenAI({
httpAgent: new HttpsProxyAgent("http://127.0.0.1:7890"), // VPN07 proxy
maxRetries: 3,
});
VPN07 — Unlock GPT-5.4 API Globally
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Calling the GPT-5.4 API from a restricted region? API timeouts ruining your agent workflows? VPN07 provides 1000Mbps bandwidth through 70+ countries, with servers optimized for low-latency connections to OpenAI's US and EU endpoints. Our system has been running continuously for over 10 years — the reliability your production API integrations require. At $1.5/month with a 30-day money-back guarantee, VPN07 is the most cost-effective way to ensure uninterrupted GPT-5.4 access anywhere in the world.
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