GPT-3.5 Turbo
OpenAI's foundational conversational model that launched the ChatGPT era, optimized for fast dialogue, summary generation, and lightweight JSON tasks.
16.385k
~12k words input
$0.5 / $1.5
Prompt / Completion per 1M
70 % pass@1
MMLU
Cloud Managed
Zero local VRAM
Holistic Capability Distribution
Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.
Verified LLM Benchmarks
Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.
Inference Latency & Generation Throughput
Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).
Measured under concurrent production load
p95 latency: 780 ms
Across 5,000 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- Pioneering conversational model with ubiquitous developer ecosystem support.
- Fast generation speed and low latency for simple text transformation.
- Native JSON mode and legacy function calling support.
Operational Considerations
- Limited 16k context window and superseded in cost and accuracy by GPT-4o mini.
- High hallucination rate on complex domain-specific reasoning and math.
Hardware & Execution Parameters
Genealogical Provenance
Fine-tuned conversational derivative of GPT-3.5 with reinforcement learning from human feedback (RLHF).
text davinci 003
GPT-3.5 Turbo
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Dense decoder-only transformer trained on large web corpus and aligned using human preference feedback.
Evaluation Profile & Reasoning Capabilities
Handles general question answering, creative drafting, and basic text transformation.
Inference Economics & Cost Optimization
$0.50 input and $1.50 output per million tokens.
Primary Production Workloads & Suitability
Cloud Deployment Architecture & Hardware Sizing
Cloud Deployment Architecture
Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.
Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.
Multi-Tenant Cloud API
Continuous autoscaling with regional failover
0 GB Local VRAM
Inference executed on hyperscaler accelerator clusters
16.385k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-3.5 Turbo vs GPT-4
Compare GPT-3.5 Turbo against GPT-4's verified benchmarks, context window, and pricing.
GPT-3.5 Turbo vs GPT-4o mini
Compare GPT-3.5 Turbo against GPT-4o mini's verified benchmarks, context window, and pricing.
GPT-3.5 Turbo vs OpenAI Decisions
Compare GPT-3.5 Turbo against OpenAI Decisions's verified benchmarks, context window, and pricing.
GPT-3.5 Turbo vs GPT-4 Turbo
Compare GPT-3.5 Turbo against GPT-4 Turbo's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$0.50 / 1M
Standard prompt context ingestion
$1.50 / 1M
Generated completion & thinking tokens
$0.25 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$105.00
Includes prompt caching
-$15.00
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
GPT-4
OpenAI's foundational March 2023 frontier release, establishing breakthrough human-level performance on academic examinations, professional certifications, and complex logic.
GPT-4o mini
OpenAI's most cost-efficient compact multimodal model, replacing GPT-3.5 Turbo with superior intelligence, 128k context, and fractional pricing ($0.15/$0.60).
OpenAI Decisions
OpenAI Decisions is OpenAI's dedicated high-throughput decision-making API powered by GPT-6 Luna, accessed via the POST /v1/decisions endpoint. Designed for agent routing, automated content moderation, and classification, it processes typed questions (predicates, categorical choices, and rubric scores) roughly 10x faster than standard generation, billed at $0.10 per million input tokens with zero output-token fees.
GPT-4 Turbo
OpenAI's November 2023 DevDay milestone, expanding context to 128,000 tokens with vision capabilities, JSON mode, reproducible outputs, and lower pricing.
SDK Installation & API Integration
import OpenAI from 'openai';
const client = new OpenAI();
const completion = await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'Summarize the history of AI.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-3.5 Turbo
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
For new projects, OpenAI recommends GPT-4o mini, which is more capable, faster, and cheaper ($0.15/1M vs $0.50/1M).