GPT-5.4
March 2026 foundation model standardizing 83.8% SWE-bench Verified coding precision, 500k context, and $3/$12 economics for enterprise agent automation.
500k
~375k words input
$3 / $12
Prompt / Completion per 1M
83.8 % 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: 910 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
- 83.8% SWE-bench Verified at affordable $3 / $12 pricing.
- 96,000 max output tokens for single-pass repository refactoring.
- Sub-second prefill across 500k context window.
Operational Considerations
- Surpassed in pure mathematical proofs by GPT-5.4 Pro.
Hardware & Execution Parameters
Genealogical Provenance
Major spring 2026 upgrade for the GPT-5 generation.
openai gpt 5 2
GPT-5.4
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Unified multimodal transformer with compiled test-time search graph execution.
Evaluation Profile & Reasoning Capabilities
Long-horizon agent planning, tool orchestration, and code refactoring.
Inference Economics & Cost Optimization
$3 / $12 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
500k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-5.4 vs GPT-5.4 Pro
Compare GPT-5.4 against GPT-5.4 Pro's verified benchmarks, context window, and pricing.
GPT-5.4 vs GPT-5.5
Compare GPT-5.4 against GPT-5.5's verified benchmarks, context window, and pricing.
GPT-5.4 vs OpenAI Decisions
Compare GPT-5.4 against OpenAI Decisions's verified benchmarks, context window, and pricing.
GPT-5.4 vs GPT-3.5 Turbo
Compare GPT-5.4 against GPT-3.5 Turbo's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$3.00 / 1M
Standard prompt context ingestion
$12.00 / 1M
Generated completion & thinking tokens
$0.30 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$648.00
Includes prompt caching
-$162.00
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
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.
GPT-5.5
April 2026 breakthrough expanding context to 1-million tokens natively while achieving 86.5% on SWE-bench Verified at affordable $3/$12 economics.
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-5.4',
messages: [{ role: 'user', content: 'Refactor this full monorepo from webpack to Turbopack.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-5.4
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
GPT-5.4 brings 83.8% SWE-bench accuracy, 96k max output tokens, and lower pricing ($3/$12 per 1M).