GPT-4.1
OpenAI's April 2025 mid-generation efficiency workhorse, bringing improved agentic tool execution, lower pricing ($2/$8), and 256k context.
256k
~192k words input
$2 / $8
Prompt / Completion per 1M
79.8 % pass@1
MMLU-Pro
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 3,100 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- Strong agentic tool use and function schema reliability.
- Competitive $2 / $8 token economics with 256k context.
- Fast prefill latency with enhanced prompt caching.
Operational Considerations
- Replaced on deep reasoning tasks by GPT-5.
Hardware & Execution Parameters
Genealogical Provenance
Mid-cycle refresh of the GPT-4 generation emphasizing agent tooling efficiency.
openai gpt 4o
GPT-4.1
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
Optimized dense transformer with dynamic token routing for agentic workflows.
Evaluation Profile & Reasoning Capabilities
Reliable JSON function calling and multi-tool orchestration.
Inference Economics & Cost Optimization
Affordable enterprise baseline.
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
256k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-4.1 vs GPT-4.1 mini
Compare GPT-4.1 against GPT-4.1 mini's verified benchmarks, context window, and pricing.
GPT-4.1 vs GPT-5
Compare GPT-4.1 against GPT-5's verified benchmarks, context window, and pricing.
GPT-4.1 vs OpenAI Decisions
Compare GPT-4.1 against OpenAI Decisions's verified benchmarks, context window, and pricing.
GPT-4.1 vs GPT-3.5 Turbo
Compare GPT-4.1 against GPT-3.5 Turbo's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$2.00 / 1M
Standard prompt context ingestion
$8.00 / 1M
Generated completion & thinking tokens
$0.50 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$450.00
Includes prompt caching
-$90.00
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
GPT-4.1 mini
Compact April 2025 model offering 200k context, near-instant inference, and sub-dollar token economics for high-scale agent fleets.
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.
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-4.1',
messages: [{ role: 'user', content: 'Generate a typed API client for our service.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-4.1
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
GPT-4.1 features 256k context, higher tool precision on BFCL, and lower API pricing ($2/$8 vs $2.50/$10).