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Prompt engineering tools are becoming increasingly important as more users look for ways to improve how they interact with AI models. These tools help you craft, refine, and optimize prompts to coax better responses from AI systems. With a growing number of prompting tools available, understanding which stand out in terms of functionality, supported AI models, and pricing options can help you identify the best tool for your own particular needs. I evaluated the most commonly used platforms to see how they compared. Here are my picks for the six best prompt engineering tools for 2024:
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Best Prompt Engineering Tools Comparison
The table below summarizes the key details of the prompt engineering tools on my list and presents a clear snapshot of each tool’s offerings, their overall ratings, supported AI models, output types, and starting prices.
| Prompt Engineering Tool | Overall Rating | Supported AI Models | Supported Output Types | Starting Price |
|---|---|---|---|---|
| PromptLayer | 4.6/5 | • Anthropic • Anthropic Bedrock • Azure OpenAI • Cohere • Cloudflare • Gemini • Hugging Face • Mistral • OpenAI GPT |
Text only | $50 per user, per month |
| Helicone | 4.4/5 | • Anthropic • Azure OpenAI • OpenAI GPT |
Text only | $20 per user, per month |
| PromptPerfect | 4.3/5 | • Anthropic • Baidu ERNIE 4 • ChatGLM Turbo • Cohere • Hugging Face • Meta • Midjourney • Mistral • OpenAI DALL-E • OpenAI GPT • Stable Diffusion |
Text and Image | $19.99 per month, with 500 daily requests |
| OpenAI Playground | 4.1/5 | • OpenAI GPT | Text only | Starts at $0.150 per one million input tokens for gpt-4o-mini |
| LangChain | 4.1/5 | • Amazon Bedrock • Anthropic • Azure OpenAI • Fireworks • Gemini • Groq • Mistral • OpenAI GPT • Vertex |
Text only | $39 per user, per month |
| Promptmetheus | 4/5 | • AI21 Labs • Anthropic • Cohere • Deep Infra • Gemini • Groq • Mistral • OpenAI GPT • Perplexity |
Text only | $29 per user, per month |
PromptLayer
Best Overall
Overall Rating: 4.6/5
- Core Features: 4.5/5
- Cost: 4.7/5
- Model Compatibility and Multi-Modal Support: 4.2/5
- Customer Support: 5/5
- Ease of Use: 5/5
PromptLayer is my best overall prompt engineering tool thanks to powerful built-in features that enhance prompt management, testing, and deployment for large language models (LLMs). Some of PromptLayer’s strongest features include prompt versioning, which simplifies iterations and prompt comparisons, and advanced logging to tracks API requests and metadata for thorough prompt performance analysis.
Aside from its solid capabilities, the tool has competitive pricing, excellent customer support, user-friendly interface, and compatibility with various artificial intelligence (AI) models. Its visual dashboard streamlines collaboration and enables understanding, even for non-technical team members. Despite what PromptLayer provides, it’s worth noting that it largely focuses on prompts for text generation tools, limiting its utility if you need to craft prompts for AI image generation solutions. Consider PromptPerfect for creating well-structured prompts for AI image generators.
Product Design
PromptLayer features an intuitive, well-organized interface that displays a wealth of options for monitoring different aspects of prompt engineering. It has tabs for evaluation, analytics, and a Playground, allowing you to track metrics and performance indicators efficiently. But the best thing about PromptLayer’s interface is that it lets you hide certain sections and elements so you can focus on the most relevant information without feeling overwhelmed.
Product Development
PromptLayer recently added support for Mistral, a high-performance open-source LLM. As a result, users can compose and steer prompts specifically for the renowned model, taking advantage of its high-quality outputs. This also broadens the AI tool’s compatibility with diverse AI systems.
Why I Picked PromptLayer
PromptLayer is my pick for best overall prompt engineering tool because it empowers users of all technical levels to actively participate in the prompt development process. Prompt engineering can be challenging, and PromptLayer helps resolve that. Its combination of usability, extensive features, and reliable customer support make this tool a valuable asset for organizations looking to accelerate their prompting processes.
Pros and Cons
| Pros | Cons |
|---|---|
| User-friendly | Free tier lacks prompt management features |
| A/B prompt testing | Limited to LLMs |
| Prompt collaboration | No prompt templates |
Pricing
- Free Plan: Limited to 5,000 requests overall
- Pro Plan: $50 per user, per month
- Enterprise Plan: Custom pricing based on needs
Learn more on PromptLayer’s pricing page.
Features
- Prompt management
- Team collaboration
- Prompt evaluation
- Usage monitoring
- Prompt comparison
Helicone
Best for Prompt Version Control
Overall Rating: 4.4/5
- Core Features: 4.3/5
- Cost: 5/5
- Model Compatibility and Multi-Modal Support: 4.2/5
- Customer Support: 5/5
- Ease of Use: 3.8/5
Helicone is an LLM observability platform with integrated prompt engineering capabilities. It excels in prompt version control, making it ideal for teams needing to track, manage, and iterate on AI prompts over time. This prompt software automatically records each change, letting you run A/B tests and compare prompt performance. It also supports dataset tracking and rollbacks so you can detect and correct problematic prompts without disrupting production prompts. With that said, Helicone’s prompt engineering scope, like its parameter tuning, is not as comprehensive as other dedicated tools. PromptLayer is an excellent alternative if you’re looking for a prompt engineering software with more in-depth features.
Product Design
Helicone’s prompting interface is built with a clean layout and a dashboard view that shows prompt versions, inputs, and outputs. While this design is simple and useful for basic versioning and tracking, it may be too simple and brings limited options for parameter tuning, restricting advanced users seeking more customization. Also, technical skills such as variable manipulation and database integration are often necessary for complex functions in Helicone.
Product Development
Helicone is actively developing Helicone Experiments, a feature that enables users to test new prompts on historical datasets and compare them with production prompts to prevent regression. This ensures that prompt changes don’t negatively impact user experience, making it a significant lift to Helicone’s offering.
Why I Picked Helicone
I recommend Helicone because, in addition to its robust feature set, it provides a generous free version and accessible customer support. It effectively aids in perfecting prompts while maintaining production stability. Its customer support team makes sure that users get the help when needed.
Pros and Cons
| Pros | Cons |
|---|---|
| Generous free plan | Limited parameter tuning options |
| Multiple customer support channels | Unlimited prompting only available on Enterprise Plan |
| Prompt A/B testing | Fewer prompt engineering features compared to competitors |
Pricing
- Free Plan: Limited to 10,000 monthly requests
- Pro Plan: $20 per user, per month
- Enterprise Plan: Custom pricing for companies looking to scale
Learn more on Helicone’s pricing page.
Features
- Prompt versioning monitoring
- Request caching
- Log omission
- Request labeling and segmentation
- Prompt security
PromptPerfect
Best for Automatic Prompt Optimization
Overall Rating: 4.3/5
- Core Features: 3.5/5
- Cost: 5/5
- Model Compatibility and Multi-Modal Support: 5/5
- Customer Support: 2.7/5
- Ease of Use: 5/5
PromptPerfect by Jina AI is an automatic prompt optimization tool that caters to both text and image models. It refines existing prompts for several LLMs, including GPT-4, Claude Sonnet, DALL-E, and Midjourney to boost the quality and detail of AI-generated outputs. Aside from this multimodal capability, it has a reverse prompt engineering feature that allows you to upload images to receive both the original and improved prompts.
The tool also supports multilingual inputs, making it accessible for users speaking different languages. Its integrated prompt optimizer chatbot functions as a collaborative partner in shaping and brainstorming prompts. However, unlike other prompt engineering tools that offer extensive fine-tuning and detailed version control for tracking prompt changes, PromptPerfect prioritizes ease of use and rapid prompt advancement. If complete fine-tuning and version control monitoring are required in your business, go for PromptLayer instead.
Product Design
PromptPerfect’s interface is simple and accessible, making navigation understandable for virtually anyone. Upon logging in, you can choose from different AI models, input your raw prompt in a textbox, and click a button for the system to upgrade the prompt for you. Once the process is complete, the enhanced prompts are displayed, accompanied by buttons to copy, share, or download them as PNG images. One of the best features of its interface is the option to compare the original and optimized prompts side by side, giving clear visibility into the changes made.
Product Development
In 2024, Jina AI updated PromptPerfect with an AI-powered companion that helps users write prompts to streamline content generation. This interactive feature includes a prompt optimizer chatbot that aids in prompt refinement and brainstorming creative ideas. It allows users to produce varied types of content, from marketing emails to AI art. Its conversational interface ensures that the AI tool accurately interprets user intent, leading to positive user experience.
Why I Picked PromptPerfect
PromptPerfect made it to my list of top-recommended prompt engineering tools because of its advanced capacity to produce prompts for both text and image models, which many other prompt engineering tools do not provide. In addition, its intuitive interface lets anyone—even beginners—create high-quality prompts so both casual users and experienced prompt engineers can get better AI-generated outputs.
Pros and Cons
| Pros | Cons |
|---|---|
| User-friendly and interactive | Limited fine-tuning |
| Built-in reverse prompt engineering | No version history and control |
| Multi-modal prompting | Lacks clear customer support information |
Pricing
- Free: Limited to 10 daily requests
- Pro: $19.99 per month, with 500 daily requests
- Pro Max: $99.99 per month, with 1500 daily requests
Learn more on PromptPerfect’s pricing page.
Features
- Prompt comparison
- Automatic prompt optimization
- Multi-modal prompting
- Conversational AI assistant
- Reverse prompt engineering
OpenAI Playground
Best for Interactive Prompt Engineering
Overall Rating: 4.1/5
- Core Features: 4.8/5
- Cost: 2.8/5
- Model Compatibility and Multi-Modal Support: 4.2/5
- Customer Support: 3.5/5
- Ease of Use: 5/5
The OpenAI Playground is an interactive prompt engineering tool that promotes rapid iteration. It allows you to instantly test your prompts based on real-time feedback from multiple AI models and supports fine-tuning results for optimal outputs. With its real-time interaction, you can make prompts using natural language, increasing its accessibility for various domains, including programming. It delivers a collection of prompt examples that ease the process of prompt engineering and a comparison feature that supports evaluation of several prompts to gauge their relevance.
The Playground’s ability to test model variants further enrich user experience. On the downside, this prompt software’s free trial is quite restrictive, limiting extended experimentation. Try PromptPerfect if you want a tool with a more flexible free plan with fewer limitations.
Product Design
The OpenAI Playground has a user-oriented interface with logically-arranged options that promote easy experimentation for beginners and pro users alike. It has adjustable hyperparameters for temperature and maximum response length, facilitating tailored content generation. Another notable feature is the Generate pop-up, which lets you describe what you want the AI model to do; in response, the system carefully engineers a custom prompt based on your specifications. Its ready-to-use prompt examples also let you you play with the tool’s capabilities effortlessly.
Product Development
OpenAI has recently launched a public beta of the Realtime API, equipping developers to build low-latency, multimodal conversational experiences with speech-to-speech interactions. Users will also be able to access this API in the Playground, allowing them to explore its functionalities firsthand and expedite the development of voice-enabled apps.
Why I Picked OpenAI Playground
The OpenAI Playground is one of the strongest contenders on my list because of its straightforward design, versatility, and array of features. Individuals of any skill level can work with this prompt engineering tool for diverse tasks using everyday language. Additionally, the platform’s high customizability helps you shape the model’s responses to fit your requirements.
Pros and Cons
| Pros | Cons |
|---|---|
| Extensive fine-tuning options | Restrictive free trial |
| Detailed AI-generated prompts | Poor customer support quality |
| Broad selection of ready-to-use prompt samples | Character limit for prompt instructions |
Pricing
OpenAI Playground is directly tied to OpenAI’s API pricing. Costs depend on token usage and the models used:
- GPT-4o Model: Starts at $2.50 per one million input tokens
- GPT-4o-mini: Starts at $0.150 per one million input tokens
- OpenAI o1-preview: Starts at $15 per one million input tokens
- OpenAI o1-mini: Starts at $3 per one million input tokens
Learn more on OpenAI API’s pricing page.
Features
- Prompt samples
- Model selection
- Parameter tuning
- AI-generated prompts
- Prompt comparison
LangChain
Best for Multi-Step Workflows
Overall Rating: 4.1/5
- Core Features: 4.2/5
- Cost: 3.8/5
- Model Compatibility and Multi-Modal Support: 4.2/5
- Customer Support: 2.9/5
- Ease of Use: 5/5
LangChain is an open-source framework that supports building and managing complex prompt chains for multi-step workflows. Unlike other prompt engineering tools that concentrate on refining or monitoring individual prompts, it lets you link several prompts together. These linked prompts make well-designed chains, where the output of one prompt becomes the input for the next.
LangChain is particularly beneficial for tasks that need context retention, decision-making, or combining prompts from different AI models. It can handle intricate prompt sequences, helping developers create sophisticated and layered AI applications that go beyond single-prompt interactions. Potential issues with LangChain include its tendency to generate prompts that are longer than necessary and its limited documentation. If you want more straightforward prompts with clear instructions, the OpenAI Playground is a better option.
Product Design
LangChain has a well-structured interface and a rich feature set, with fine-tuning parameters to boost prompt precision. It allows you to assess and directly compare inputs and outputs and offers extensive options for selecting models. You can also customize and simplify your view to show only what’s necessary, minimizing confusion despite the multitude of features.
Product Development
LangChain’s latest update includes major improvements, like migration to Pydantic 2 for streamlined data validation in Python and peer dependencies for JavaScript to reduce type errors. With this development, non-blocking callbacks now run in the background, increasing efficiency in serverless environments. All these changes equips users with reliable tools to work with AI applications without a hitch.
Why I Picked LangChain
I picked LangChain because it brings important features for creating multi-step, dynamic workflows that other tools don’t. Its prompt chaining features support more elaborate interactions, such as context retention across prompts and linking outputs for more advanced use cases. This prompt engineering tool is excellent at handling complicated, context-aware systems, giving developers greater control over AI-driven tasks.
Pros and Cons
| Pros | Cons |
|---|---|
| Few-shot learning support | Poor documentation |
| Prompt templates | Occasional unnecessarily long prompts |
| Prompt chaining | Performance variability |
Pricing
- Free Developer: Limited to 5,000 traces per month
- Plus: $39 per user, per month
- Enterprise: Custom pricing
Learn more on Langchain’s pricing page.
Features
- Prompt templates
- Prompt chaining
- Few-shot prompting
- Output parsers
- Prompt comparison
Promptmetheus
Best for Prompt Performance Tracking
Overall Rating: 4/5
- Core Features: 4.3/5
- Cost: 4/5
- Model Compatibility and Multi-Modal Support: 4.2/5
- Customer Support: 3.3/5
- Ease of Use: 3.8/5
Promptmetheus is a comprehensive prompt engineering tool best known for tracking and analyzing prompt performance. It presents key metrics such as token usage, cost, and output quality, giving a clear view of how prompts are performing and where adjustments are needed. Promptmetheus focuses on long-term performance tracking, so you compare different prompt versions to see what works best in varying scenarios.
This tool also uses a modular prompt design approach, so you can build prompts with interchangeable blocks and enhance them systematically. However, a downside of Promptmetheus is its complex interface, which can be challenging for those seeking a simpler tool. For a beginner-friendly prompt engineering tool, PromptPerfect is a great alternative.
Product Design
The Promptmetheus interface provides a broad range of configuration options, with drop-downs and numerous input fields for setting model parameters, variables, and datasets. While this flexibility is valuable for seasoned developers and prompt engineers, the interface can be overwhelming due to the abundance of variables to configure. Additionally, the AI tool uses jargon and has multiple sub-settings that require a deep understanding of prompt engineering concepts.
Product Development
Promptmetheus is actively upgrading its features, introducing plans for better token handling, facilitating the prompt movement between projects, and implementing fine-grained permissions for team accounts. These aim to make it easier for teams to collaborate and manage their prompts effectively, ultimately leading to more efficient AI integrations.
Why I Picked Promptmetheus
I selected Promptmetheus because of its focus on detailed prompt analysis and precision in terms of prompt refinement. It enables users to dive deeply into performance metrics and rely on data for improving prompts over time, and with its customizability, developers can experiment with prompt variations for complex scenarios.
Pros and Cons
| Pros | Cons |
|---|---|
| Comprehensive features | Complex interface |
| Flexible | No interactive feedback loop |
| Supports over 80 LLMs | Requires familiarity with prompt engineering concepts |
Pricing
- Free: Limited to OpenAI LLMs
- Single: $29 per user, per month
- Team: $49 per user, per month
- Pro: $99 per user, per month
Learn more on the Promptmetheus pricing page.
Features
- Prompt optimization
- Prompt testing
- Team collaboration
- Supports more than 80 LLMs
- Cost estimation
5 Key Features of Prompt Engineering Tools
Understanding the key features of prompt engineering tools is important, as these components can impact the quality of your AI-generated outputs. Together, these features help you develop more exact and effective prompts that lead to more relevant results. The right set of features can smoothen the prompting process and ensure that your inputs yield targeted outputs.
Prompt Testing and Iteration
Prompt testing and iteration capabilities eliminate the need for manual testing and speeds up the process of developing useful prompts. Efficient testing allows you to iterate quickly, increasing the prompt quality through trial and error. Prompt iteration is equally important as it aids in fine-tuning wording, structure, and context to get better responses from AI models.
Advanced Prompt Suggestion and Optimization
Prompt suggestions and automatic optimization tools refine your prompt without deep prompt engineering skills. These features fix your prompt structure or content, so you don’t have to do it manually. Additionally, the task of writing well-developed prompts is greatly simplified with pre-built prompt suggestions or templates.
Parameter Tuning
Parameter tuning enables you to adjust variables, such as temperature, token limits, and model-specific settings. Using controls, you can steer the behavior of the AI, balancing between creativity and accuracy, or make sure that the responses align with your intended output. Without this control, prompt engineering becomes more of a guessing game, lacking the depth needed for more sophisticated applications.
Accuracy
Accuracy in getting the intended results is one of the most indispensable features a prompt engineering tool must have. Remember, the prompt engineering tool isn’t just there to craft prompts, the prompts it generates need to result in accurate and useful output from the AI model. The prompt software should not overcomplicate inputs by introducing unnecessary elements or adjustments that don’t align with user intent.
Support for Diverse AI Models
A versatile prompt engineering tool should support a wide range of AI models, whether for text generation, image creation, or code assistance. The ability to work with multiple AI models increases the tool’s utility and flexibility, allowing you to compose prompts for different applications. This is another important feature as various projects may require distinct models, and having a tool that supports diverse models makes it easier to switch between them without losing efficiency.
How I Evaluated Prompt Engineering Tools
I evaluated several prompt engineering tools based on a meticulous scoring system to identify the best options available. The final score of each tool was determined by its performance across five major categories: core features, model capability and multi-modal support, cost, ease of use, and customer support. Here’s how I broke it down:
Core Features | 30 Percent
I focused on the main features that take prompt engineering workflows to the next level. This includes subcategories like prompt testing and iteration, prompt suggestions and optimization, prompt comparison, version control, parameter tuning, and prompt accuracy. Prompt software solutions that have these features empower users to experiment and hone their prompts for fruitful AI interactions.
Criteria Winner: OpenAI Playground
Model Compatibility and Multi-Modal Support | 25 Percent
I looked at the number of AI models the prompt engineering tools support and the types of outputs they can generate prompts for, such as text, image, or code generation software. Tools for prompt engineering that work with different models and cater with multiple output types scored higher, as they are more beneficial for varying needs.
Criteria Winner: PromptPerfect
Cost | 20 Percent
For this category, I considered pricing transparency, availability of a free version, and quality of the free trial. Prompt engineering tools with upfront pricing helps you make informed decisions quickly. A free version or tier gives you the chance to explore the core features without committing financially. In addition, the features available in the free trials and their durations were assessed; tools with more generous free trials will enable you to fully experiment with their functionalities before signing up.
Criteria Winners: PromptPerfect and Helicone
Ease of Use | 15 Percent
For ease of use, I measured how easy the tool is to set-up and manage, regardless of the user’s experience level. Tools with intuitive interfaces, minimal jargon, and straightforward navigation scored higher, as they are more user-centric for both beginners and experienced users.
Criteria Winners: PromptLayer, OpenAI Playground, LangChain, and PromptPerfect
Customer Support | 10 Percent
For this category, I checked the availability of support options, like live chat, email support, community forums, and documentation. Accessible support channels, responsive customer support teams, active user communities, and complete documentation and knowledge bases deliver immediate assistance for troubleshooting and learning.
Criteria Winners: PromptLayer and Helicone
Frequently Asked Questions (FAQs)
How Do I Start Prompt Engineering?
To start prompt engineering, you must establish skills in natural language processing (NLP) and machine learning. Then, gain practical experience by experimenting with different AI models to understand how they function. Use online resources, join communities, and build your own portfolio to start your journey in becoming a prompt engineer.
Bottom Line: Prompt Engineering Tools Boost Efficiency
Prompt engineering tools play a substantial role in refining AI-generated results, helping you get the most out of models across txt, image, and code applications. By combining these tools with tested prompting techniques, you can achieve even better outcomes, accuracy, and creativity. This guide will help you find the tools that might meet your needs and evaluate them on your own. By taking advantage of free versions and trials, you can test the capabilities of these prompting tools and see which option best fits your goals.
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