Model Overview
OpenAI · Active Model
- Long-Context
- API Available
- Vetted Benchmarks
- Production Ready
# GPT-5.1 (batch) by OpenAI — Technical Architecture, Empirical Benchmarks & API Specs ## 1. Executive Summary & Core Positioning **GPT-5.1 (batch)** is an advanced artificial intelligence model engineered by **OpenAI**. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GPT-5.1 (batch) represents a key architectural iteration in the OpenAI model family. First released in **2025-11-13**, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of **400,000 tokens** (approximately 533 words), GPT-5.1 (batch) processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call. --- ## 2. Technical Architecture & Verified Specifications Official specification breakdown for GPT-5.1 (batch) based on verified provider metadata: - **Model Name**: GPT-5.1 (batch) - **Developer / Provider**: OpenAI - **Context Window Capacity**: 400,000 tokens (~533 words) - **Modality Support**: Text, Code - **API Availability**: Available via API Gateway - **Tool-Calling Accuracy Score**: Pending Empirical Benchmark - **Time to First Token (TTFT)**: Varies by Host Provider --- ## 3. Benchmark Evaluations & Performance Metrics GPT-5.1 (batch) undergoes standardized evaluation across key industry benchmark suites: - **MMLU (Massive Multitask Language Understanding)**: Evaluates multi-subject knowledge across STEM, humanities, and social sciences. - **HumanEval & SWE-bench**: Assesses functional Python code synthesis and real-world software engineering bug resolution. - **GSM8K & MATH**: Tests multi-step arithmetic reasoning and formal mathematical proof construction. - **Chatbot Arena ELO**: Evaluates human preference, instruction following, and conversational quality against rival models. --- ## 4. Developer API & Integration Specs Programmatic integration for GPT-5.1 (batch) follows standard OpenAI-compatible REST endpoints. ```python import os import requests api_key = os.getenv("MODEL_API_KEY") url = "https://openrouter.ai/api/v1/chat/completions" headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } payload = { "model": "gpt-5-1-batch", "messages": [ {"role": "system", "content": "You are a senior software architect and AI system evaluator."}, {"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."} ], "temperature": 0.1, "max_tokens": 2048 } response = requests.post(url, headers=headers, json=payload) print(response.json()) ``` --- ## 5. Production Use Cases & Deployment Scenarios ### 5.1 Autonomous Agents & Tool Execution Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), GPT-5.1 (batch) is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators. ### 5.2 Enterprise Document Synthesis With its **400,000 tokens** input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss. ### 5.3 Programmatic Code Generation Development teams utilize GPT-5.1 (batch) for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust). --- ## 6. Token Economics & Pricing Breakdown Inference pricing per million tokens for GPT-5.1 (batch): - **Input Token Cost**: **$0.63** per MTok - **Output Token Cost**: **$5.00** per MTok - **Prompt Caching Discounts**: Supported on selected API providers (up to 50% savings on repeated prompt prefixes) - **Batch Processing**: Available for non-latency-sensitive bulk inference workloads --- ## 7. Comparative Specification Matrix | Metric / Parameter | **GPT-5.1 (batch)** | Provider Ecosystem Baseline | | :--- | :--- | :--- | | **Developer** | OpenAI | Industry Average | | **Context Window** | 400,000 tokens | 128,000 tokens | | **Input Price / MTok** | $0.63 | Variable | | **Output Price / MTok** | $5.00 | Variable | | **API Access** | Supported | Standard | --- ## 8. Frequently Asked Questions (FAQ) ### Q: What is GPT-5.1 (batch)'s context window limit? A: GPT-5.1 (batch) supports an input context window of **400,000 tokens**. ### Q: What is the API pricing for GPT-5.1 (batch)? A: GPT-5.1 (batch) is priced at **$0.63 per million input tokens** and **$5.00 per million output tokens**. ### Q: Is GPT-5.1 (batch) accessible via API? A: Yes, GPT-5.1 (batch) is available for programmatic integration.
- Developer
- OpenAI✓ verified today
- Release Date
- November 13, 2025✓ verified today
- Context Window
- 400,000 tokens≈ 533 words✓ verified today
- API Access
- Publicly AvailableIntegrate via official API✓ verified today
- Input Cost
- $0.63per million tokens✓ verified today
- Output Cost
- $5.00per million tokens✓ verified today