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.
128k
~96k words input
$10 / $30
Prompt / Completion per 1M
86.5 % 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: 1350 ms
Across 2,800 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- 128k token context window handles 300+ pages of text.
- First GPT-4 release with integrated vision and JSON Schema adherence.
- 3x cheaper input tokens than original GPT-4.
Operational Considerations
- Max output tokens capped at 4,096 tokens.
Hardware & Execution Parameters
Genealogical Provenance
Major developer upgrade introducing 128k context and vision.
openai gpt 4
GPT-4 Turbo
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Transformer decoder incorporating vision cross-attention encoders.
Evaluation Profile & Reasoning Capabilities
Strong instruction adherence, code debugging, and image understanding.
Inference Economics & Cost Optimization
$10 / $30 per 1M 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
128k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-4 Turbo vs GPT-4
Compare GPT-4 Turbo against GPT-4's verified benchmarks, context window, and pricing.
GPT-4 Turbo vs GPT-4o
Compare GPT-4 Turbo against GPT-4o's verified benchmarks, context window, and pricing.
GPT-4 Turbo vs OpenAI Decisions
Compare GPT-4 Turbo against OpenAI Decisions's verified benchmarks, context window, and pricing.
GPT-4 Turbo vs GPT-3.5 Turbo
Compare GPT-4 Turbo against GPT-3.5 Turbo's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$10.00 / 1M
Standard prompt context ingestion
$30.00 / 1M
Generated completion & thinking tokens
$5.00 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$2,100.00
Includes prompt caching
-$300.00
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
OpenAI's flagship omni model natively processing text, audio, and vision with low-latency multimodal reasoning and a 128,000 token context window.
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-3.5 Turbo
OpenAI's foundational conversational model that launched the ChatGPT era, optimized for fast dialogue, summary generation, and lightweight JSON tasks.
SDK Installation & API Integration
import OpenAI from 'openai';
const client = new OpenAI();
const completion = await client.chat.completions.create({
model: 'gpt-4-turbo',
messages: [{ role: 'user', content: 'Analyze this codebase architecture.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-4 Turbo
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
GPT-4 Turbo expanded the context window to 128k tokens, added native vision understanding, and dropped pricing by 66% compared to GPT-4.