GPT-5.1
November 2025 update to GPT-5 delivering lower pricing ($4/$16), improved steerability, and 78% on SWE-bench Verified.
500k
~375k words input
$4 / $16
Prompt / Completion per 1M
78 % 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: 980 ms
Across 3,200 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- 20% price reduction from initial GPT-5 launch.
- Refined agentic tool calling precision with minimal retry loops.
- Consistent 500k token context recall.
Operational Considerations
- Succeeded in mathematics by GPT-5.2.
Hardware & Execution Parameters
Genealogical Provenance
Mid-cycle alignment and cost refinement of the GPT-5 base model.
openai gpt 5
GPT-5.1
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Dense hybrid reasoning architecture with streamlined token heads.
Evaluation Profile & Reasoning Capabilities
Strong multi-agent role delegation and complex JSON pipeline execution.
Inference Economics & Cost Optimization
$4 / $16 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-5.1 vs GPT-5
Compare GPT-5.1 against GPT-5's verified benchmarks, context window, and pricing.
GPT-5.1 vs GPT-5.2
Compare GPT-5.1 against GPT-5.2's verified benchmarks, context window, and pricing.
GPT-5.1 vs OpenAI Decisions
Compare GPT-5.1 against OpenAI Decisions's verified benchmarks, context window, and pricing.
GPT-5.1 vs GPT-3.5 Turbo
Compare GPT-5.1 against GPT-3.5 Turbo's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$4.00 / 1M
Standard prompt context ingestion
$16.00 / 1M
Generated completion & thinking tokens
$0.40 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$864.00
Includes prompt caching
-$216.00
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-5.2
December 2025 evolution of GPT-5 establishing 81% SWE-bench Verified resolution, 500k context, and enhanced multimodal audio/vision integration.
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-5.1',
messages: [{ role: 'user', content: 'Build a Next.js server actions pipeline.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-5.1
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
GPT-5.1 brings higher coding accuracy (78% vs 74.5% SWE-bench) and reduced token fees ($4/$16 vs $5/$20).