Model Profile: GPT-4.1 (OpenAI)

Explore the detailed profile of OpenAI's GPT-4.1, including its key specifications, core capabilities, ideal use cases, performance, pricing, and limitations when used to power Mates on allmates.ai.

Last updated 8 months ago

GPT-4.1 flagship

Tagline: Flagship GPT model for complex tasks.

📊 At a Glance

  • Primary Strength: Complex Task Comprehension, Advanced Reasoning, Leading Coding Capabilities, Extensive Context Handling.

  • Performance Profile:

    • Intelligence: 🟢 Higher

    • Speed: 🟡 Medium

    • Cost: 🔴 Premium

  • Key Differentiator: 1M Token Context Window, June 2024 Knowledge Cutoff.

  • allmates.ai Recommendation: Ideal for Mates tackling demanding tasks that require deep understanding of large documents or codebases, advanced reasoning, and high-quality content generation.


📖 Overview

GPT-4.1, provided by OpenAI, is an advanced iteration of the GPT-4 series, offering significant upgrades in coding, instruction following, and long-context handling. It retains the powerful general abilities of its predecessors while addressing some limitations.

GPT-4.1 is designed to process and understand extremely large inputs (up to 1 million tokens), making it highly effective for tasks involving extensive documents or complex conversations. It delivers state-of-the-art performance for difficult analytical and creative tasks, with improved reliability and more up-to-date knowledge.


🛠️ Key Specifications

Feature Detail

Provider

OpenAI

Model Series/Family

GPT-4

Context Window

1,047,576 tokens (~785,000 words or >2,000 pages)

Max Output Tokens

32,768 tokens

Knowledge Cutoff

📅 June 2024

Architecture

Proprietary OpenAI Architecture (Transformer-based)


🔀 Modalities

  • Input Supported:

    • Text

    • Images

  • Output Generated:

    • Text

    • Notes: Primarily generates text. Image generation would be via a separate Tool attached to a Mate.


⭐ Core Capabilities Assessment

  • Reasoning & Problem Solving: ⭐⭐⭐⭐✰ (Very Strong)

    • Excels at complex multi-step reasoning and logical deduction. Improved long-context comprehension.

  • Writing & Content Creation: ⭐⭐⭐⭐✰ (Very Strong)

    • Generates high-quality, coherent content. Adheres precisely to user requirements.

  • Coding & Development: ⭐⭐⭐⭐✰ (Very Strong)

    • Top performer (54.6% on SWE-bench). Handles complex code, assists debugging.

  • Mathematical & Scientific Tasks: ⭐⭐⭐⭐✰ (Very Strong)

    • Accurately solves business math, interprets data, summarizes scientific findings. Can use code execution for calculations.

  • Instruction Following: ⭐⭐⭐⭐✰ (Very Strong)

    • Significant improvement in adhering to detailed and nuanced instructions.

  • Factual Accuracy & Knowledge: ⭐⭐⭐⭐✰ (Very Strong)

    • Benefits from June 2024 knowledge cutoff. Verification still recommended for critical info.


🚀 Performance & 💰 Cost

  • Speed / Latency: Moderate

    • Optimized, but large. Full context use will be slower than smaller models.

  • Pricing Tier (on allmates.ai): Premium

    • Input: $2.00 / 1M tokens

    • Cached Input: $0.50 / 1M tokens

    • Output: $8.00 / 1M tokens

    • (Note: Costs based on token usage. See allmates.ai pricing page for details.)


✨ Key Features & Strengths

  • Exceptional Long-Context Handling: Processes up to 1 million tokens.

  • Leading Coding Capabilities: State-of-the-art for complex software tasks.

  • Advanced Tool Execution: Improved intelligent invocation of tools via API.

  • Enhanced Instruction Following: More reliable with complex user prompts.

  • Updated Knowledge Base: Trained up to June 2024.


🎯 Ideal Use Cases on allmates.ai

  • Document Analysis: Reviewing and summarizing extensive legal texts, research papers, financial reports.

  • Advanced Coding: Assisting with software development, debugging large codebases, generating sophisticated code.

  • In-depth Business Analysis: Processing large datasets, understanding market trends, creating detailed strategic plans.

  • Long-Form Content Generation: Drafting comprehensive whitepapers, detailed narratives, or scripts.

  • High-Context Mates: For interactions requiring memory of very long conversations or multiple documents.


⚠️ Limitations & Considerations

  • Cost and Speed: Can be slower and more expensive for simple tasks.

  • Knowledge Cutoff: No information on events post-June 2024.

  • API Focus for Full Context: Full 1M token context is primarily an API capability.

  • Resource Intensive: Processing very large inputs consumes more resources and time.


🏷️ Available Versions & Snapshots (on allmates.ai)

  • gpt-4.1 (Alias pointing to the recommended version)

  • gpt-4.1-2025-04-14 (Specific snapshot for consistent performance)