All Models
OpenAIReasoningProprietary Commercial APIReleased: 2025-12-18

GPT-5.2 Pro

Peak 2025 reasoning flagship from OpenAI, achieving 84.5% on SWE-bench Verified and 89.2% on GPQA Diamond with dynamic test-time compute search.

Foundation DNA94/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

500k

~375k words input

Token Pricing

$12 / $48

Prompt / Completion per 1M

Top Benchmark

84.5 % resolved

SWE-bench Verified

Hardware Tier

Cloud Managed

Zero local VRAM

6-Axis Foundation Model DNA

Holistic Capability Distribution

Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.

Overall Index:94/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 96/100 (Window Horizon)
ReasoningGPQA / Logic / Math
98/100
CodingSWE-bench / LCB
97/100
SpeedTokens / Second
74/100
EconomicsCost Efficiency
68/100
ContextWindow Horizon
96/100
FlexibilityTool Use & Open
96/100
Performance Evaluations

Verified LLM Benchmarks

Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.

SWE-bench Verified Headline
84.5% resolved
swebench.harness
CodingOpenAI Technical Documentation
GPQA Diamond Headline
89.2% pass@1
Inspect
Academic ReasoningOpenAI Technical Documentation
Chatbot Arena Elo Headline
1495Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
MATH-500 Headline
98.8% pass@1
lm-eval-harness
MathematicsOpenAI Technical Documentation
Real-Time Provider Telemetry

Inference Latency & Generation Throughput

Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).

Peak Generation Speed
65tokens/sec

Measured under concurrent production load

Lowest Time to First Token
480ms

p95 latency: 1350 ms

Telemetry Verification
99.96%uptime

Across 2,400 monitored requests

Production Trade-Offs

Architectural Strengths vs. Operational Considerations

An objective technical balance sheet analyzing deployment advantages and production constraints.

Operational Advantages

Key Architectural Strengths

  • Unprecedented accuracy on formal mathematical theorem proving and complex software repos.
  • 84.5% SWE-bench resolution with deep code tree-search validation.
  • Lower price ($12/$48) compared to original GPT-5 Pro.
Production Constraints

Operational Considerations

  • Extended thinking can increase time-to-first-token on complex proofs.
Technical Specifications

Hardware & Execution Parameters

Architecture Typehybrid-reasoning
Total ParametersProprietary
Attention MechanismSliding-Window
Context Window500,000 tokens
Max Output Tokens96,000 tokens
Supported Modalities
textimageaudio
License Typeproprietary
Commercial Use Allowed
Model DistillationProhibited
Zero Data RetentionAvailable
Knowledge Cutoff2025-10
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Upgraded professional reasoning model concluding the 2025 release cycle.

Base Precursor

openai gpt 5 pro

Current Architecture

GPT-5.2 Pro

openai gpt 5 2
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

High-order reasoning transformer combining reinforcement learning verifiers with massive test-time tree search.

Evaluation Profile & Reasoning Capabilities

Exhibits expert mathematician and principal engineer level autonomous reasoning.

Inference Economics & Cost Optimization

$12 / $48 per 1M tokens.

Primary Production Workloads & Suitability

Mission-critical code verification
Quantum computing circuit simulation
Autonomous scientific discovery
Compute & Deployment Architecture

Cloud Deployment Architecture & Hardware Sizing

Cloud Deployment Architecture

Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.

Cloud APIZero Local VRAM Required

Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.

SLA: 99.9% Cloud Availability
Rate Limit: Scaled via Provider Quota
Cache: Automatic Prefix Compression
Serving Model

Multi-Tenant Cloud API

Continuous autoscaling with regional failover

Hardware Overhead

0 GB Local VRAM

Inference executed on hyperscaler accelerator clusters

Context Capacity

500k tokens

Supported with automated KV cache prefix compression

SDK Installation

$npm install openai
$pip install openai
Inference Economics & Total Cost of Ownership

Commercial Token Rates & Cost Estimator

Base Input Tokens

$12.00 / 1M

Standard prompt context ingestion

Base Output Tokens

$48.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$1.20 / 1M

Re-used prompt prefix context

Monthly Production Cost Simulator

Daily Prompt Ingestion5M tokens/day (~150M/mo)
Daily Completion Generation1M tokens/day (~30M/mo)
Prompt Prefix Cache Hit Rate40%
Estimated Monthly Spend

$2,592.00

Includes prompt caching

Monthly Cache Savings

-$648.00

Saved via prefix context caching

Frontier Alternatives

Comparable Foundation Architectures

Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.

OpenAIReasoning

GPT-5.2

December 2025 evolution of GPT-5 establishing 81% SWE-bench Verified resolution, 500k context, and enhanced multimodal audio/vision integration.

Context:500k ctx
Parameters:Proprietary
Input Rate:$4/1M
Compare Architecture
OpenAIReasoning

GPT-5.4 Pro

March 2026 professional reasoning powerhouse from OpenAI, achieving 87.2% on SWE-bench Verified and 91.5% on GPQA Diamond with scalable test-time verification.

Context:500k ctx
Parameters:Proprietary
Input Rate:$10/1M
Compare Architecture
OpenAIDecision

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.

Context:128k ctx
Parameters:Proprietary (GPT-6 Luna Decision Engine)
Input Rate:$0.1/1M
Compare Architecture
OpenAIGeneral

GPT-3.5 Turbo

OpenAI's foundational conversational model that launched the ChatGPT era, optimized for fast dialogue, summary generation, and lightweight JSON tasks.

Context:16.385k ctx
Parameters:Proprietary
Input Rate:$0.5/1M
Compare Architecture
Developer Quickstart

SDK Installation & API Integration

$npm install openai
$pip install openai
import OpenAI from 'openai';

const client = new OpenAI();
const completion = await client.chat.completions.create({
  model: 'gpt-5.2-pro',
  messages: [{ role: 'user', content: 'Formulate an optimal routing proof for multi-commodity flow under stochastic delays.' }],
});
console.log(completion.choices[0].message.content);
Knowledge Base

Frequently Asked Questions about GPT-5.2 Pro

Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.

GPT-5.2 Pro sets the high-water benchmark for 2025 with 84.5% SWE-bench Verified and 89.2% GPQA Diamond.

Verified Engineering FAQ
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