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.
300k
~225k words input
$0.3 / $1.2
Prompt / Completion per 1M
61.2 % resolved
SWE-bench Verified
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: 450 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
- Delivers GPT-4o level intelligence at a fraction of the cost ($0.30 / $1.20 per 1M).
- Sub-200ms time to first token.
- Generous 300k context window.
Operational Considerations
- Complex theorem proving and multi-file codebases require GPT-5 or GPT-5 Pro.
Hardware & Execution Parameters
Genealogical Provenance
Compact high-speed sibling in the GPT-5 generation.
openai gpt 4 1 mini
GPT-5 mini
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Distilled model checkpoint retaining GPT-5's tool calling precision and structural format compliance.
Evaluation Profile & Reasoning Capabilities
Quick mathematical problem solving and structured multi-turn dialogue.
Inference Economics & Cost Optimization
$0.30 input per 1M tokens makes it ideal for enterprise workloads.
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
300k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-5 mini vs GPT-5
Compare GPT-5 mini against GPT-5's verified benchmarks, context window, and pricing.
GPT-5 mini vs GPT-5 nano
Compare GPT-5 mini against GPT-5 nano's verified benchmarks, context window, and pricing.
GPT-5 mini vs OpenAI Decisions
Compare GPT-5 mini against OpenAI Decisions's verified benchmarks, context window, and pricing.
GPT-5 mini vs GPT-3.5 Turbo
Compare GPT-5 mini against GPT-3.5 Turbo's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$0.30 / 1M
Standard prompt context ingestion
$1.20 / 1M
Generated completion & thinking tokens
$0.05 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$66.00
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-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 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).
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-mini',
messages: [{ role: 'user', content: 'Extract structured tables from this invoice.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-5 mini
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
GPT-5 mini increases SWE-bench resolution from 38% to 61.2% while doubling context to 300k tokens.