GPT-5 nano
Ultra-compact sub-100ms model in the GPT-5 family, engineered for on-device coprocessors, edge routing, and pennies-per-million token economics ($0.08/$0.32).
200k
~150k words input
$0.08 / $0.32
Prompt / Completion per 1M
72.4 % pass@1
MMLU-Pro
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: 220 ms
Across 6,500 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- Sub-100ms time to first token (90ms TTFT) with 185 tps throughput.
- Fractional pricing ($0.08 / $0.32 per 1M tokens).
- Generous 200k context window in a nano tier.
Operational Considerations
- Text only; optimized for fast filtering and transformation.
Hardware & Execution Parameters
Genealogical Provenance
Nano model in the GPT-5 generation.
openai gpt 4 1 nano
GPT-5 nano
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
High-density model designed for edge devices and high-concurrency micro-services.
Evaluation Profile & Reasoning Capabilities
Fast intent classification, keyword extraction, and automated routing.
Inference Economics & Cost Optimization
$0.08 input pricing.
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
200k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-5 nano vs GPT-5
Compare GPT-5 nano against GPT-5's verified benchmarks, context window, and pricing.
GPT-5 nano vs GPT-5 mini
Compare GPT-5 nano against GPT-5 mini's verified benchmarks, context window, and pricing.
GPT-5 nano vs OpenAI Decisions
Compare GPT-5 nano against OpenAI Decisions's verified benchmarks, context window, and pricing.
GPT-5 nano vs GPT-3.5 Turbo
Compare GPT-5 nano against GPT-3.5 Turbo's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$0.08 / 1M
Standard prompt context ingestion
$0.32 / 1M
Generated completion & thinking tokens
$0.01 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$17.70
Includes prompt caching
-$3.90
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
GPT-5
OpenAI's August 2025 generational leap, featuring native test-time reasoning integration, 500k context window, and state-of-the-art SWE-bench and mathematical scores.
GPT-5 mini
Lightweight version of GPT-5 delivering high-speed reasoning, 300k context, and budget pricing ($0.30/$1.20) for automated agent pipelines.
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-5-nano',
messages: [{ role: 'user', content: 'Ping' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-5 nano
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
GPT-5 nano streams at up to 185 tokens per second with a 90ms time-to-first-token.