Best software · AI tools
9 Best AI Prompt Management Tools of 2026
This list is for AI product teams that need to version prompts, test changes and deploy them without shipping new code. We compared documented features and published US prices for nine tools: dedicated prompt managers such as PromptLayer and PromptHub, open source platforms such as Langfuse and Opik, eval-first tools such as Braintrust, and gateways such as Portkey and Helicone. Scores weigh features at 40%, ease of use at 30% and value at 30%, and all prices were checked on vendor pages in November 2026.
By the Mojolin research desk · Updated November 12, 2026 · 9 tools compared · Prices checked on vendor pages, latest November 12, 2026
Questions or corrections: editorial@mojolin.com
Mojolin is self-funded How we score
Langfuse is our top pick: prompts get versions and labels for each environment, SDKs cache them client-side, Core costs $29 a month with unlimited users, and the whole stack is open source. PromptLayer is the better fit when product managers or domain experts own prompts, thanks to its no-code editor and automatic regression evals. LangSmith is the natural choice on LangChain, PromptHub is the cheapest team plan at $20 per user, and Opik has the lowest paid entry at $19 a month.
Top picks
Best overall
Langfuse
9.0 / 10
AI product teams that want open source prompt versioning they can self-host
Read the review →Runner-up
PromptLayer
8.7 / 10
Teams where domain experts, not engineers, write the prompts
Read the review →Comparison table
| # | Tool | Pricing | Score | |
|---|---|---|---|---|
| 1 | Langfuse | AI product teams that want open source prompt versioning they can self-host | Free Hobby plan with 50k units a month; Core $29 a month; Pro $199 a month; Enterprise $2,499 a month | 9.0 |
| 2 | PromptLayer | Teams where domain experts, not engineers, write the prompts | Free plan with 5 users and 2.5k requests a month; Pro $49 a month; Team $500 a month; Enterprise custom | 8.7 |
| 3 |  LangSmith | Teams already building with LangChain or LangGraph | Free Developer plan for 1 seat and 5k base traces a month; Plus $39 per seat per month; Enterprise custom | 8.5 |
| 4 |  PromptHub | Small teams and solo builders on a tight budget | Free plan with public prompts and 2,000 requests a month; Pro $12 a month ($9 billed yearly); Team $20 per user per month ($15 billed yearly) | 8.4 |
| 5 |  Opik | Budget-conscious teams that want open source and a cheap cloud tier | Free self-hosted open source; Free Cloud for up to 10 team members; Pro Cloud $19 a month; Enterprise custom | 8.3 |
| 6 |  Braintrust | Eval-heavy teams that gate every prompt release on test scores | Free Starter plan; Pro $249 a month; Enterprise custom | 8.2 |
| 7 |  Portkey | Teams that route traffic through an AI gateway and want prompts there too | Free Developer plan with 10k recorded logs a month; Production $49 a month; Enterprise custom | 8.1 |
| 8 |  Helicone | Teams that want logging first and prompt deployment through a gateway | Free Hobby plan with 10,000 requests; Pro $79 a month; Team $799 a month; Enterprise custom | 8.0 |
| 9 |  Arize AX | Enterprises already using Arize for model and agent monitoring | Free AX plan with 25k spans a month; AX Pro $50 a month; Enterprise custom | 7.9 |
Scoring weights
Every tool gets three editorial scores out of 10, from vendor documentation, product pages and the published price. The overall score is the weighted average below, the same method on every list. Full method
The full ranking
Rank 1 · Best overall
Langfuse
An open source LLM engineering platform with prompt management, tracing and evaluations, available as a cloud service or self-hosted.
langfuse.com9.0
out of 10
Best for: AI product teams that want open source prompt versioning they can self-host
Langfuse treats prompts as managed assets rather than strings in code. Each prompt gets versions and labels, so a product manager can edit a prompt in the UI and move the production label while the application keeps fetching by label. The SDKs cache prompts on the client, which Langfuse documents as adding no latency, and each version can be linked to traces so you can see how a change affected cost, latency or scores. Tracing and evaluations live in the same project, which saves wiring up a second tool.
The pricing is easy to plan around. Hobby is free with 50k units a month and 2 users, Core is $29 a month with unlimited users and 100k units, and Pro at $199 adds 3 years of data access and higher rate limits. Because the code is open source, teams with data residency rules can run the same stack on Kubernetes or a single VM. The main extra cost is the $300 Teams add-on for SSO enforcement.
Standout feature
Langfuse is the only tool here that pairs a $29 a month cloud tier with a fully self-hostable open source stack.
Use cases
Product managers
Edit a support prompt and move the production label
Outcome: Prompt changes ship without a code deploy
ML engineers
Compare trace scores across two prompt versions
Outcome: Regressions are caught before a full rollout
Regulated companies
Self-host Langfuse on Kubernetes
Outcome: Prompts and traces stay inside their own cloud
Key features
- Prompts stored centrally with versions and labels for each environment
- SDKs cache prompts client-side, so fetching a prompt adds no request latency
- Prompt versions linked to traces to compare performance by version
- Evaluations and tracing in the same project as the prompts
- Self-hosting with Docker Compose, Kubernetes (Helm), AWS, Azure or GCP
Pros
- Free Hobby plan includes all platform features with 50k units a month
- Core costs $29 a month with unlimited users
- Open source and self-hostable on your own infrastructure
Cons
- Hobby is limited to 2 users and 30 days of data access
- Usage above the included 100k units costs $8 per 100k units
- SSO enforcement and fine-grained RBAC need the $300 a month Teams add-on
Rank 2 · Runner-up
PromptLayer
A prompt registry, evaluation harness and observability tool built so non-technical experts can edit and ship prompts.
promptlayer.com8.7
out of 10
Best for: Teams where domain experts, not engineers, write the prompts
PromptLayer is built around the idea that subject matter experts write the best prompts. Its Prompt Registry stores every template with commit messages, diffs and release labels such as prod and staging, and anyone on the team can open a prompt in the Playground, test it and save a new version without touching the codebase. Engineers fetch prompts by label through the Python or JavaScript SDK, so a prompt release does not wait for an app release.
Testing is the other strength. You can run regression evals automatically every time a prompt changes, backtest a new version against historical production requests and A/B test versions with a gradual rollout. Pricing starts with a free plan for 5 users and 2.5k requests a month; Pro costs $49 a month with unlimited prompts and workspaces, and Team costs $500 a month for 25 users. Governance features such as RBAC, deployment approvals and SSO only arrive with Enterprise.
Standout feature
PromptLayer runs regression evals automatically every time a prompt is updated.
Use cases
Support operations
Let support leads edit the reply-drafting prompt
Outcome: Changes reach production without engineer time
Edtech content teams
Backtest a grading prompt against past submissions
Outcome: New versions are checked before students see them
Legal AI teams
Have lawyers review prompt versions and run evals
Outcome: Regressions are caught before release
Key features
- No-code prompt editor for product, marketing and content teams
- Release labels such as prod and staging, with approval flows on Enterprise
- A/B tests that release new prompt versions gradually
- Regression evals that run every time a prompt is updated
- Historical backtests of new versions against past production data
Pros
- Free plan covers 5 users and 2.5k requests a month
- Version history with commit messages, diffs and rollback
- SOC 2 Type 2, GDPR, HIPAA and CCPA listed on the pricing page
Cons
- Free plan is capped at 10 prompts and 10 playground runs a day
- The jump from Pro at $49 to Team at $500 a month is steep
- RBAC, SSO, deployment approvals and self-hosting are Enterprise only
Rank 3 · Also great
LangSmith
LangChain's platform for tracing, evaluating and deploying agents, with a prompt workspace and the public LangChain Hub.
langchain.com8.5
out of 10
Best for: Teams already building with LangChain or LangGraph
LangSmith handles prompts the way a code repository handles files. Each save is a commit, commits can carry tags, and the reserved Staging and Production environments are managed through a promotion screen that shows which commit is live before you move it. Applications pull a prompt by tag or environment, so promoting a commit changes production behavior without a deploy. The public LangChain Hub adds a library of shared prompts you can search, fork into your organization and pull into code.
Because tracing and evaluation sit next to the prompts, you can trace an agent run, find a bad output and test a fix in the Playground in one place. The free Developer plan is enough for one person with 5k base traces a month. Teams move to Plus at $39 per seat per month with 10k base traces and pay as they go above that, and self-hosting is reserved for Enterprise. It suits teams already on LangChain or LangGraph best.
Standout feature
LangSmith's promotion screen shows which prompt commit runs in Staging and Production before you change it.
Use cases
Agent developers
Promote a tested prompt commit from Staging to Production
Outcome: Releases are explicit and reversible
Prototyping teams
Fork a public prompt from LangChain Hub
Outcome: A working starting point in minutes
Platform teams
Trace a failing agent run and fix its prompt
Outcome: Root cause and fix live in one tool
Key features
- Prompt commits with freeform commit tags
- Staging and Production environments with a promote flow and deployment modal
- Public LangChain Hub to search, fork and pull shared prompts
- Playground for running prompts against models
- Tracing and evaluation in the same workspace
Pros
- Free Developer plan includes 5k base traces a month
- Promotion UI shows which commit runs in each environment
- Up to $10,000 in credits for VC-backed startups
Cons
- Developer plan is limited to 1 seat
- Plus is priced per seat at $39 a month on top of usage
- Self-hosted and hybrid deployment require Enterprise
Rank 4
PromptHub
A Git-style prompt management and testing platform with a public community library of prompts.
prompthub.us8.4
out of 10
Best for: Small teams and solo builders on a tight budget
PromptHub brings Git habits to prompts. Every change is a commit, environments are branches, and the API can either run the latest commit on a branch or return it for your own client, with variables and metadata passed in the request. Pipelines run evaluators on each commit or merge to stop secret leaks, profanity and regressions from reaching production, and the playground compares outputs from OpenAI, Anthropic, Google, Mistral and other providers side by side.
The pricing is the lowest on this list for a team product. The free plan allows unlimited team members and 2,000 requests a month, but every prompt is public. Pro costs $12 a month for one user with private prompts and 10,000 requests, and Team costs $20 per user per month with 50,000 requests and permissions, with 25% off on yearly billing. Enterprise adds SSO and SAML, while SOC 2 is still listed as in progress. You bring your own model API keys.
Standout feature
PromptHub's Pro plan costs $12 a month, or $9 billed yearly, for private versioned prompts.
Use cases
Solo developers
Keep private prompts versioned outside the codebase
Outcome: A clean history for $12 a month
Small product teams
Run evaluator pipelines on each merge
Outcome: Bad prompt changes are stopped before deploy
Prompt engineers
Compare one prompt across several model providers
Outcome: The best model is picked with side-by-side output
Key features
- Git-based versioning with branches for each environment
- API endpoints to run or fetch the latest commit from any branch
- Evaluator pipelines that run on every commit or merge
- No-code prompt chaining and batch testing
- Side-by-side testing across OpenAI, Anthropic, Azure, Google, Meta, Bedrock and Mistral
Pros
- Free plan allows unlimited team members
- Pro costs $12 a month, or $9 billed yearly
- Pipelines can block secret leaks, profanity and regressions
Cons
- Free plan prompts are all public
- You pay LLM token costs separately with your own API keys
- SOC 2 is listed as in progress
Rank 5
Opik
Comet's open source platform for agent tracing, testing and prompt management, with free and paid cloud plans.
comet.com8.3
out of 10
Best for: Budget-conscious teams that want open source and a cheap cloud tier
Opik is Comet's open source answer to agent observability, and its Prompt Library covers the basics of prompt management well. Every edit becomes a new version automatically, and code can ask for the newest version, pin a specific one such as v3, or request whatever version is deployed to the production environment. That last option lets someone switch the live prompt from the Opik UI without a code change. Each version is linked to the traces that used it, which makes before and after comparisons straightforward.
Opik also leans into AI coding tools: one command installs an MCP server and skills so an assistant can save and evaluate prompt versions as it edits them. The cost is the lowest of any paid plan here. Free Cloud supports up to 10 team members and 25k spans a month, Pro Cloud costs $19 a month for up to 50 members and 100k spans, and the open source edition is free to self-host.
Standout feature
Opik's Pro Cloud plan costs $19 a month, the cheapest paid plan on this list.
Use cases
Startups
Version system prompts with environment labels
Outcome: Production prompts switch from the UI
AI engineers
Let a coding assistant save and evaluate each prompt attempt
Outcome: Changes are measured, not judged by eye
Self-hosting teams
Run the open source edition in their own cloud
Outcome: No per-span charges
Key features
- Prompt Library that versions every change automatically
- Fetch the latest version, a pinned version such as v3, or the production environment version
- Each prompt version linked to the trace that used it
- Text and chat prompts with Python and TypeScript SDKs
- MCP server and skills so coding agents can version prompts
Pros
- Free Cloud covers up to 10 team members and 25k spans a month
- Pro Cloud costs $19 a month for up to 50 team members
- Open source version uses the same codebase as the hosted plans
Cons
- Pro includes 100k spans, then $5 per 100k spans
- Cloud data retention is 60 days on Free and Pro
- Prompt UI is less aimed at non-technical editors than PromptLayer
Rank 6
Braintrust
An evaluation and observability platform for AI products where prompts are versioned, tested and invoked from code.
braintrust.dev8.2
out of 10
Best for: Eval-heavy teams that gate every prompt release on test scores
Braintrust starts from evaluation and treats prompts as one of the things you evaluate. Prompts live in the platform, and when code invokes one, Braintrust logs the inputs, outputs and the exact version used, which makes A/B tests between versions possible without custom plumbing. Code can also load a prompt, pin a version or pick the version assigned to an environment, then call its own model client. Scores come from LLM judges, code or human reviewers, and the product is designed to block bad releases before they reach production.
The free Starter plan is generous on seats, with unlimited users, projects and experiments, 1 GB of processed data, 10k scores and 14 days of retention. Pro costs $249 a month with $100 of model credits, 5 GB and 50k scores, and qualifying startups can get 6 to 12 months free. It is the strongest testing tool here, but small teams that only need versioning will pay more than they need to.
Standout feature
Braintrust logs the exact prompt version behind every invoked call, so A/B tests need no extra code.
Use cases
AI product teams
Score two prompt versions against a golden dataset
Outcome: Releases ship only when scores improve
Platform engineers
Pin the production prompt version in Go services
Outcome: Deploys stay reproducible
QA reviewers
Add human scores to sampled outputs
Outcome: Model judges are checked against people
Key features
- Prompts invoked from code with automatic logging of the version used
- A/B testing of prompt versions
- Load a pinned version or the version assigned to an environment
- Scoring with LLM judges, code or human review
- SDKs for TypeScript, Python and Go
Pros
- Starter includes unlimited users, projects, datasets, playgrounds and experiments
- Prompts can be updated without code changes
- 6 to 12 months of Pro free for qualifying startups
Cons
- Pro costs $249 a month, the highest entry price here
- Starter keeps data for 14 days
- Extra processed data and scores are billed by usage
Rank 7
Portkey
An AI gateway with observability and a Prompt Engineering Studio for versioning and deploying prompts across 1,600+ models.
portkey.ai8.1
out of 10
Best for: Teams that route traffic through an AI gateway and want prompts there too
Portkey began as an AI gateway, and its Prompt Engineering Studio adds prompt management on top of the same API. You build and compare prompts in a multimodal playground across 1,600+ models, save changes as versions, and publish the version that should run by default. That split between updating and publishing means edits never reach production until someone chooses to publish. Prompt partials let teams reuse shared blocks, and each prompt can be called as an API endpoint through the gateway with fallbacks, retries, load balancing and caching.
The free Developer plan is meant for prototypes: 10k recorded logs a month, 3 days of log retention and only 3 prompt templates. The Production plan costs $49 a month with 100k logs, unlimited templates, role-based access and 30 days of logs, then $9 per extra 100k. It is a good fit when your team already wants a gateway, and less so as a standalone prompt tool.
Standout feature
Portkey separates updating a prompt from publishing it, so edits never reach production by accident.
Use cases
Platform teams
Serve prompts as gateway endpoints with fallbacks
Outcome: Provider outages do not take the feature down
Prompt engineers
Compare one prompt across many model providers
Outcome: Model choice is based on side-by-side output
Finance-minded teams
Cache repeat requests at the gateway
Outcome: Lower model spend on repeated calls
Key features
- Prompt Playground that runs prompts on 1,600+ models
- Versioning with separate update and publish steps
- Prompt partials and a shared prompt library
- Prompts deployed as API endpoints
- Gateway with fallbacks, load balancing, retries and caching
Pros
- Prompt management is included on every plan
- Production plan costs $49 a month with unlimited prompt templates
- Gateway, logs and prompts share one control panel
Cons
- Free Developer plan allows 3 prompt templates and 3 days of log retention
- Logs above 100k a month cost $9 per additional 100k
- SSO and private cloud deployment are Enterprise only
Rank 8
Helicone
An open source AI gateway and LLM observability platform with prompt versioning and environments.
helicone.ai8.0
out of 10
Best for: Teams that want logging first and prompt deployment through a gateway
Helicone is an observability tool first, and its prompt management is designed to work through its AI Gateway. You build a prompt in the playground, save it with a commit history and tags, and then call it from your app by passing a prompt ID and inputs in a Chat Completions request to the gateway, optionally naming the environment. Production, staging and development can each run a different version, and earlier versions can be restored instantly. Variables work anywhere in the prompt, including tool schemas.
The logging side is strong: sessions, user metrics, cost tracking, alerts and a query language for requests. Hobby is free with 10,000 requests, 1 GB of storage and 1 seat. Pro costs $79 a month with unlimited seats and a 7-day trial, and Team costs $799 a month with SOC 2 and HIPAA compliance. The catch is that prompt deployment depends on routing traffic through the Helicone gateway.
Standout feature
Helicone lets each of production, staging and development run its own prompt version through one gateway call.
Use cases
Startups
Log every LLM request and its cost
Outcome: Spend is visible per user and feature
Product engineers
Ship a new prompt to staging by environment
Outcome: Testing happens without touching production
Support teams
Roll back a prompt after a bad release
Outcome: Users see the previous behavior right away
Key features
- Prompts referenced by ID in AI Gateway calls
- Separate production, staging and development environments
- Version history with comparison and rollback
- Variables anywhere, including tool schemas
- Request logs, sessions, cost tracking and alerts
Pros
- Free Hobby plan includes 10,000 requests
- Pro adds unlimited seats and has a 7-day free trial
- 50% off the first year for qualifying startups
Cons
- Prompt Management works with Chat Completions on the AI Gateway
- Hobby keeps data for 7 days with 1 seat
- Team plan jumps to $799 a month
Rank 9
Arize AX
Arize's managed AI engineering platform, with a Prompt Hub for versioned templates alongside tracing and evals.
arize.com7.9
out of 10
Best for: Enterprises already using Arize for model and agent monitoring
Arize AX adds prompt management to an observability platform many ML teams already run. The Prompt Hub stores templates with immutable version control, so past results can be reproduced, and versions can be tagged, for example prod-v1.2, to mark what is deployed. Any version can be loaded into the Playground and tested against real production spans or a golden dataset, with outputs compared side by side before a change is accepted. An SDK pushes and loads prompts in code, and Arize also offers automated prompt optimization.
The free AX plan includes unlimited users and evals, 25k spans a month, 1 GB of ingestion and 15 days of retention. AX Pro costs $50 a month for 50k spans, 10 GB and 30 days. Teams that need self-hosting can use the open source Phoenix project instead. For a team with no Arize footprint, Langfuse or Opik offer similar prompt features with more included usage.
Standout feature
Arize AX keeps prompt versions immutable, so any past result can be reproduced.
Use cases
ML platform teams
Test a new prompt version against production spans
Outcome: Changes are checked on real traffic
Enterprises
Tag the deployed version as prod-v1.2
Outcome: Audits can trace which prompt ran
Applied AI teams
Run automated prompt optimization
Outcome: A tuned prompt to compare with the original
Key features
- Prompt Hub with immutable version control
- Tags on versions such as prod-v1.2 for deployment
- Load any version into the Playground and test on real spans or golden datasets
- Side-by-side output comparison
- Automated prompt optimization
Pros
- Free AX plan includes unlimited users and evals
- AX Pro costs $50 a month with 50k spans and 10 GB
- Open source Phoenix is available for self-hosted observability
Cons
- Free plan keeps data for 15 days
- Pro allows 50k spans a month, less than some rivals
- Interface is aimed at engineers rather than domain experts
Frequently asked questions
+What is the best prompt management tool in 2026?
Langfuse is our top pick for AI product teams. It versions prompts with environment labels, links each version to traces, has a free Hobby plan and costs $29 a month on Core, and it can be self-hosted because it is open source.
+What is prompt management?
Prompt management means storing, versioning and deploying prompts outside your application code. Tools such as Langfuse, PromptLayer and LangSmith let a team edit a prompt, test it and move it to production by label or environment without a new code release.
+Is there a free prompt management tool?
Yes. Langfuse, PromptLayer, LangSmith, PromptHub, Opik, Braintrust, Portkey, Helicone and Arize AX all have free plans. Langfuse and Opik can also be self-hosted for free because they are open source.
+Which prompt management tool is best for non-technical team members?
PromptLayer is the strongest choice for non-engineers. Its no-code editor lets product, marketing and content teams edit and test prompts, and its pricing page lists 5 users on the free plan and a $49 a month Pro plan.
+How do you version and deploy prompts without redeploying code?
Store prompts in a prompt manager and fetch them at runtime by label or environment. In Langfuse you move a label such as production, in LangSmith you promote a commit to Production, and in Opik you request the version deployed to the production environment.
+How much do prompt management tools cost?
Paid plans start at $19 a month for Opik Pro Cloud and $29 a month for Langfuse Core, as of November 2026. PromptLayer and Portkey start at $49 a month, LangSmith at $39 per seat, Helicone at $79 and Braintrust at $249 a month.
About this list
Updated November 12, 2026 by the Mojolin research desk. Mojolin is self-funded
Questions or corrections: editorial@mojolin.com
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