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.
500k
~375k words input
$5 / $20
Prompt / Completion per 1M
74.5 % 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: 1050 ms
Across 3,600 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- Unifies deep chain-of-thought test-time reasoning with instant text emission.
- 500,000-token context window with sub-second prefill.
- Major leap on SWE-bench Verified (74.5%) and academic STEM reasoning.
Operational Considerations
- Extended reasoning steps consume tokens from total output budget.
Hardware & Execution Parameters
Genealogical Provenance
Foundational flagship release for the GPT-5 generation.
openai gpt 4o
GPT-5
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Hybrid reasoning architecture merging reinforcement learning tree search with dense multimodal attention over 500k context.
Evaluation Profile & Reasoning Capabilities
Dynamic thinking budget allocation enables self-correction, multi-pass code verification, and formal proofs.
Inference Economics & Cost Optimization
$5.00 input and $20.00 output with $0.50 prompt cache reads.
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
500k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-5 vs Claude Opus 4
Compare GPT-5 against Claude Opus 4's verified benchmarks, context window, and pricing.
GPT-5 vs GPT-5 mini
Compare GPT-5 against GPT-5 mini's verified benchmarks, context window, and pricing.
GPT-5 vs GPT-5 Pro
Compare GPT-5 against GPT-5 Pro's verified benchmarks, context window, and pricing.
GPT-5 vs OpenAI Decisions
Compare GPT-5 against OpenAI Decisions's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$5.00 / 1M
Standard prompt context ingestion
$20.00 / 1M
Generated completion & thinking tokens
$0.50 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$1,080.00
Includes prompt caching
-$270.00
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
Claude Opus 4
Claude Opus 4 is Anthropic's flagship frontier reasoning model for the Claude 4 generation, featuring an advanced hybrid test-time reasoning engine, 200k context window, and breakthrough scores on graduate-level STEM and multi-step deduction.
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.
GPT-5 Pro
OpenAI's late-2025 flagship professional reasoning model, scaling test-time compute search over 500k context to achieve 81.2% on SWE-bench Verified and 86.8% on GPQA Diamond.
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.
SDK Installation & API Integration
import OpenAI from 'openai';
const client = new OpenAI();
const completion = await client.chat.completions.create({
model: 'gpt-5',
messages: [{ role: 'user', content: 'Design a distributed consensus mechanism resilient against network partitions.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-5
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
GPT-5 natively integrates test-time compute reasoning into the primary model checkpoint, doubles context to 500k, and jumps SWE-bench Verified from 41.6% to 74.5%.