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GPT-5.2 Pro

GPT-5.2 Pro is an OpenAI frontier large language model optimized for strong general reasoning, coding, and multimodal assistant use in demanding, real-world applications.

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What is GPT-5.2 Pro?

GPT-5.2 Pro is an advanced OpenAI language model designed to provide high-quality natural language and code generation for complex tasks. It is primarily used for building robust AI assistants, handling sophisticated workflows, and serving as a core reasoning engine in products and tools. It also supports knowledge work such as analysis, drafting, and data transformation across a wide range of domains. GPT-5.2 Pro follows and extends earlier GPT-series models from OpenAI, offering improved capabilities and reliability over its predecessors.

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Provider Input Output Cache read /M Latency Throughput Uptime
OpenAI $21.00 $168.00 — ~180ms ~45 tps 99.06%

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Test GPT-5.2 Pro right here — free to start.

GPT-5.2 Pro
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Suggestions for your first prompt

Code snippet

Call the model through the OpenAI-compatible API.

python 
                                        from openai import OpenAI
                                            
                                            client = OpenAI(
                                                api_key="YOUR_API_KEY",
                                                base_url="https://inference.example.com/v1"
                                            )
                                            
                                            response = client.chat.completions.create(
                                                model="openai/gpt-5-2-pro",
                                                messages=[
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ],
                                            )
                                            
                                            print(response.to_json())
                                        
                                    
                                        {
                                                "model": "openai/gpt-5-2-pro",
                                                "messages": [
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ]
                                            }

Uptime

30-Day Uptime
99.06%
Past Incidents (30d)
2
Error rate (24h)
0.00%

Last 30 days

28/30 days operational | 99.06% uptime

30 days ago Today
Operational Degraded Outage Maintenance
See All Incidents

5 Core Capabilities

  • Advanced Chatting

    Engages in extended, context-aware conversations, following complex instructions and maintaining consistent tone, style, and persona over time.

  • Image Understanding

    Interprets uploaded images to identify objects, scenes, relationships, and visual details, supporting explanation, comparison, and reasoning tasks.

  • Document OCR

    Extracts structured text from images or scanned documents, enabling downstream search, analysis, and transformation of previously non-digital content.

  • Language Translation

    Translates text between multiple languages, preserving meaning and tone while adapting to context-specific terminology and domain conventions.

  • Content Monitoring

    Analyzes text or image content for safety, policy compliance, and categorization, supporting moderation and automated quality checks.

6 Most Valuable Use Cases

  • Customer Support Chatbots
  • Invoice and Receipt Parsing
  • Legal Case Research Assistance
  • Regulatory Change Monitoring
  • E-commerce Product Recommendations
  • Code Generation and Review

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Unified AI Routing

    Dynamically route requests across providers and models based on latency, cost, or quality. One endpoint, pluggable strategies, no app rewrites.

    One endpoint, any model

  • Cost-Aware Control

    Set hard budgets, price caps, and tiered policies per workspace or feature. Automatically choose cheaper equivalents without touching application logic.

    Spend less per token

  • Resilient Fallbacks

    Define provider and model fallback chains that trigger on errors, timeouts, or quotas. Keep production workloads up, even when vendors go down.

    Failover built in

  • Deep Observability

    Trace every request across providers with latency, cost, and token metrics. Debug slow or failing calls using structured logs and full payload history.

    See every token

  • Task-Level Abstractions

    Describe tasks—chat, classify, extract, generate—and let LLM.API pick optimal models and prompts. Standardize behavior without scattering prompt logic.

    Code to tasks, not models

  • High-Throughput Batch

    Submit massive batch jobs across providers with concurrency, retries, and partial-failure handling. Process millions of calls efficiently via one consistent API.

    Scale workloads effortlessly

When to Use — When NOT to Use

Use it if...

  • You need very strong general-purpose reasoning, coding, and writing in a single model.
  • You need high-quality multi-step reasoning for complex data analysis or decision support.
  • You need advanced code generation, debugging, and refactoring across multiple programming languages and frameworks.
  • Your use case involves nuanced natural language understanding for chatbots, agents, or copilots.
  • Your use case involves handling long, mixed-format contexts like documents, tables, and snippets.
  • You need strong instruction-following behavior for tools, APIs, or workflow orchestration.
  • Your use case involves prototyping cutting-edge AI features where quality matters more than cost.

Avoid if...

  • You need the absolute lowest possible cost per token for massive-scale workloads.
  • Your workload requires extremely low latency responses on constrained or mobile-edge environments.
  • You need strict on-prem or air-gapped deployment without relying on cloud APIs.
  • Your workload requires a tiny, specialized model that can be heavily fine-tuned.
  • You need deterministic, fully auditable classical algorithms instead of probabilistic language model behavior.
  • You need only simple pattern matching or keyword search that rule-based systems handle better.
  • Your workload requires hard real-time guarantees where occasional latency spikes are unacceptable.

Frequently Asked Questions

  • What is GPT-5.2 Pro?

    GPT-5.2 Pro is a flagship OpenAI large language model on LLM.API, optimized for high-quality reasoning, code generation, and complex multi-step tasks.

  • What is GPT-5.2 Pro best suited for?

    GPT-5.2 Pro excels at complex reasoning, multi-file codebases, data analysis, long-form content generation, and multi-step tooling workflows in production applications.

  • What is the context window of GPT-5.2 Pro?

    GPT-5.2 Pro supports up to a 128,000-token context window, enabling very long conversations and large document processing.

  • Which modalities does GPT-5.2 Pro support via LLM.API?

    GPT-5.2 Pro supports text input and output, with optional image input and structured tool-calling when enabled in the LLM.API request.

  • How fast is GPT-5.2 Pro in terms of latency?

    Typical end-to-end latency for GPT-5.2 Pro is a few seconds for short prompts, increasing with longer context and higher max_tokens settings.

  • How is GPT-5.2 Pro priced when called through LLM.API?

    GPT-5.2 Pro pricing on LLM.API is per-token for input and output, and may differ from OpenAI list prices depending on your LLM.API plan.

  • How do I call GPT-5.2 Pro through the LLM.API gateway?

    Specify the provider as OpenAI and the model name as gpt-5.2-pro in your LLM.API request, plus your LLM.API key and desired parameters.

  • How does GPT-5.2 Pro compare to cheaper OpenAI-compatible models?

    GPT-5.2 Pro usually offers better reasoning, coding, and reliability than cheaper models, at a higher per-token cost and slightly higher latency.

  • Does GPT-5.2 Pro have any notable limitations?

    GPT-5.2 Pro can still hallucinate, lacks real-time internet access by default, and should not be used as the sole source for high-stakes decisions.

  • Can I fine-tune GPT-5.2 Pro via LLM.API?

    GPT-5.2 Pro itself is not fine-tunable through LLM.API, but you can layer retrieval, system prompts, and tools to specialize behavior.

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