Model Overview
OpenAI · Active Model
- API Available
- Vetted Benchmarks
- Production Ready
GPT-3.5 Turbo 16k by OpenAI — Technical Architecture, Empirical Benchmarks & API Specs§
1. Executive Summary & Core Positioning§
GPT-3.5 Turbo 16k is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GPT-3.5 Turbo 16k represents a key architectural iteration in the OpenAI model family. First released in 2023-08-28, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.
Featuring an input capacity of 16,385 tokens (approximately 22 words), GPT-3.5 Turbo 16k 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-3.5 Turbo 16k based on verified provider metadata:
- Model Name: GPT-3.5 Turbo 16k
- Developer / Provider: OpenAI
- Context Window Capacity: 16,385 tokens (~22 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-3.5 Turbo 16k 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-3.5 Turbo 16k follows standard OpenAI-compatible REST endpoints.
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-3-5-turbo-16k",
"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-3.5 Turbo 16k is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.
5.2 Enterprise Document Synthesis§
With its 16,385 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-3.5 Turbo 16k 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-3.5 Turbo 16k:
- Input Token Cost: $3.00 per MTok
- Output Token Cost: $4.00 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-3.5 Turbo 16k** | Provider Ecosystem Baseline |
|---|---|---|
| Developer | OpenAI | Industry Average |
| Context Window | 16,385 tokens | 128,000 tokens |
| Input Price / MTok | $3.00 | Variable |
| Output Price / MTok | $4.00 | Variable |
| API Access | Supported | Standard |
8. Frequently Asked Questions (FAQ)§
Q: What is GPT-3.5 Turbo 16k's context window limit?§
A: GPT-3.5 Turbo 16k supports an input context window of 16,385 tokens.
Q: What is the API pricing for GPT-3.5 Turbo 16k?§
A: GPT-3.5 Turbo 16k is priced at $3.00 per million input tokens and $4.00 per million output tokens.
Q: Is GPT-3.5 Turbo 16k accessible via API?§
A: Yes, GPT-3.5 Turbo 16k is available for programmatic integration.
- Developer
- OpenAI✓ verified 1d ago
- Release Date
- August 28, 2023✓ verified 1d ago
- Context Window
- 16,385 tokens≈ 22 words✓ verified 1d ago
- API Access
- Publicly AvailableIntegrate via official API✓ verified 1d ago
- Input Cost
- $3.00per million tokens✓ verified 1d ago
- Output Cost
- $4.00per million tokens✓ verified 1d ago