Replit AI vs Jasper: Which AI Tool Should You Choose?
QA v1.0 — 2026-05-24 KST.
content_status = qa_passed. Generated fromtemplates/comparison-page-template.mdand promoted after an independent Section B walk-through ofqa/adsense-seo-quality-gate.md. Meta description (≤ 155 chars): Replit AI is a browser-based AI dev platform; Jasper is a marketing-content workflow platform — here is the situation-by-situation choice between them.
Quick recommendation
- Choose Replit AI if: you want a single browser tab that holds the editor, the runtime, the AI agent, and the hosting all at once — the canonical fit is education, hobby projects, prototype-stage founders, classroom work, hackathons, and "build and publish a small app this afternoon" use cases on whichever machine you happen to be on (including a Chromebook, a school laptop, or a borrowed device with no local toolchain).
- Choose Jasper if: you run or sit inside a marketing team or agency that ships ad copy, landing pages, email sequences, product descriptions, and brand-voiced blog content at volume across multiple channels, and you want a workflow product wrapped around the AI (templates, brand-voice memory, team review queues) rather than a blank chat prompt, an editor, or a browser-based IDE.
- Consider another option if: you want AI inside the IDE your team already uses without switching environments (look at GitHub Copilot), an AI-first dedicated editor with agentic multi-file edits and a next-edit Tab model as the default workflow (look at Cursor), a general-purpose chat assistant for long-context reasoning and writing that also handles code conversations (look at Claude), in-place grammar and tone help inside everyday apps (look at Grammarly (AI)), or AI drafting inside the workspace your team already lives in (look at Notion AI).
- Last verified: 2026-05-24 KST. Underlying source reads:
replit.com/pricingon 2026-05-23 KST;jasper.ai/pricingon 2026-05-22 KST.
Short answer
Replit AI and Jasper both ship "AI for work", but they are not really competing for the same buyer and they are not really doing the same job. Replit AI is the AI feature layer inside Replit, a browser-based development platform; the pricing page on 2026-05-23 frames the product around an Agent that builds, edits, runs, and publishes apps from natural-language prompts without leaving the browser tab. Jasper is a marketing-content platform; it wraps templates, brand-voice memory, and team review around an underlying language model and is priced for marketing teams, not for individual developers and not for solo chat users.
That category difference is most of the decision. If your real job is "describe a small app and have something runnable and publishable a few minutes later, from a browser, on whichever machine I happen to be on," Replit AI is on the table and Jasper is not — Jasper has no editor surface, no runtime, no agent that ships code, no codebase indexing, no Publish flow, and no developer-API positioning. If your real job is producing on-brand, multi-channel marketing content for a department or an agency, Jasper's templated workflow has a shape that a browser-based IDE simply cannot offer, and Replit AI is not on the table at all. The honest framing for a reader who landed on this comparison is that the two products only overlap as items on the same "AI subscription line" in a procurement spreadsheet — at the level of what they actually do, they barely touch.
A pricing caveat applies on both sides. Replit's plan names and prices were read from replit.com/pricing on 2026-05-23 KST: Starter at Free with free daily Agent credits and the ability to publish up to one project, Replit Core at $20/month billed annually with $25 of monthly Agent credits and up to 2 parallel agents (the page describes this as a 20% discount vs the standard monthly rate; the standard monthly rate without annual commitment was not visible in the section read), Replit Pro at $95/month billed annually with $100 of monthly Agent credits, up to 10 parallel agents, and "Access to the most powerful models" (the page describes this as a 5% discount vs the standard monthly rate; the standard monthly rate without annual commitment was not visible in the section read), and Enterprise at Custom pricing inheriting all Replit Pro capabilities. Jasper's plan names and prices were read from jasper.ai/pricing on 2026-05-22 KST: Pro at $69/month per seat billed monthly or $59/month per seat billed annually (≈20% annual savings), Business at custom pricing with a 12-month minimum commitment, and a 7-day free trial of the Pro plan (no perpetual free plan). Both vendors change plans, quotas, and model lineups frequently; reconfirm before any pricing-sensitive commitment.
Comparison table
| Factor | Replit AI | Jasper | Notes |
|---|---|---|---|
| Best for | Learners, hobbyists, students, prototype-stage founders, and anyone who wants a "build it in the browser" loop where the AI agent, the editor, the runtime, and hosting all live in one tab | Marketing teams and agencies producing brand-voiced multi-channel content (ads, landing pages, email sequences, blog drafts, product descriptions, social posts) at volume | Observation-based |
| Product shape | Browser-based development platform; Replit hosts the editor, runtime, agent, and deploy target in a single tab | Web-based AI content platform with templates, brand-voice memory, and team review workflow | Per official product pages |
| Pricing model | Freemium; AI-usage-priced (Starter Free, Replit Core, Replit Pro) with Enterprise as Contact Sales | Paid SaaS, seat-priced, no perpetual free plan (7-day Pro trial only) | Per official pricing pages |
| Free plan | Yes — Starter at Free, includes "Free daily Agent credits" and the ability to "Publish up to 1 project" on 2026-05-23 — verify on official site for the current daily Agent-credit allowance and any quota changes | No perpetual free plan; 7-day free trial of the Pro plan only | Per official pricing pages, verified 2026-05-22/23 |
| Paid entry tier | Replit Core at $20/month billed annually with $25 of monthly Agent credits and up to 2 parallel agents (the page describes this as a 20% discount vs the standard monthly rate; standard month-to-month rate without annual commitment not in scope of fetch — verify on official site) | Pro at $69/seat/month billed monthly, or $59/seat/month billed annually | Per official pricing pages, verified 2026-05-22/23 |
| Higher individual tier | Replit Pro at $95/month billed annually with $100 of monthly Agent credits, up to 10 parallel agents, and "Access to the most powerful models" (the page describes this as a 5% discount vs the standard monthly rate; standard month-to-month rate without annual commitment not in scope of fetch — verify on official site) | None at the individual level; the next tier above Pro is Business (custom pricing, 12-month minimum) | Per official pricing pages |
| Team / enterprise tier | The 2026-05-23 page section did not surface a dedicated mid-team SKU between Pro and Enterprise; team buying on Replit was framed as Pro seats or an Enterprise contract that inherits "Everything in Pro" | Pro is sold per seat; Business is custom pricing with a 12-month minimum where dedicated account management, priority support, API access, and enterprise-grade governance are listed | Per official pricing pages |
| Pricing-axis differentiator | AI-usage-based: monthly Agent-credit budget, parallel-agent cap, model access tier | Seat-based: per-seat Pro pricing, with Business custom-priced at the org level | Tied to documented vendor positioning |
| Developer API | The browser platform itself is the dev surface; the 2026-05-23 pricing section did not enumerate a separate developer-API SKU — verify on the official site for current developer-API offerings and per-call pricing | API access is listed as a Business-tier feature on the public pricing page; specific endpoints, rate limits, and per-call pricing should be confirmed with the vendor | Per official pricing pages |
| Main strengths | Build-and-publish in one tab (editor + runtime + agent + hosting), real free tier with daily Agent credits, AI-usage-priced plans that scale with how much the developer leans on the agent, zero local toolchain required, friction-free for first-time developers and classroom use | Marketing templates across many artifact types, brand-voice memory across writers, team and workspace structure for content review, public pricing page useful for procurement | Tied to documented vendor positioning |
| Key caveats | A hosted browser-based platform is not the right fit for proprietary or compliance-sensitive codebases; AI agent output that also runs and deploys raises the human-review bar; Replit's plan structure has changed several times (including how Agent credits are counted and what "parallel agents" means); standard month-to-month rates without annual commitment were not visible on the 2026-05-23 fetch | Marketing-uplift claims (conversion, SEO ranking) are marketing, not performance guarantees; output can read formulaic if writers do not edit for voice; multiple historical rebrands (e.g., "Jarvis", "Conversion.ai") have reshuffled plan names and features | Privacy, hallucination, vendor lock-in, hosted-execution risk apply to both |
| Platforms | Web (browser-first); Replit also exposes mobile/iPad surfaces on the public site — verify current parity on the official platform pages | Web app and integrations marketed at marketing-content workflows | Per official pages |
| Primary category fit | AI Coding Assistants | AI Writing & Editing (secondary: AI Productivity & Automation) | Tied to data/categories.json |
Use-case based choice
For writing and editing
For long-form, structured writing — analytical memos, technical explanations, research summaries, contract or policy review — neither of these two tools is the obvious primary choice, but for different reasons.
Replit AI is not built for general writing. It is the AI feature layer inside a browser-based development platform, and the surface is optimized for the workflow of scaffolding, editing, running, and publishing small applications. You can certainly ask Replit's agent to draft a README, a project description, a CHANGELOG entry, or a small piece of marketing copy about the prototype it just built — and a developer would typically do exactly that when the artifact lives inside the project they are already shipping. But if your primary job is writing memos, briefs, contracts, or marketing copy with code as an occasional task, opening a browser-based IDE as your writing surface is awkward, and a general-purpose chat assistant (like Claude) or an in-place writing assistant (like Grammarly (AI)) is a more natural shape of product.
Jasper is the only one of the two pitched for writing, and inside writing it is pitched for a specific subset: marketing copy at scale — ad variants, landing-page sections, product descriptions, email sequences, social posts, blog outlines. Jasper's templates, brand-voice memory, and team review steps remove a real amount of prompt-engineering work that a marketing team would otherwise own. For analytical or technical writing — a 5,000-word memo, a contract review, a research synthesis — Jasper's workflow shape is the wrong shape: a single writer working on a long analytical piece does not need template browsing, brand-voice models tuned to marketing voice, or a review queue. Many small marketing teams run a "Claude or ChatGPT plus a brand voice document" stack on a fraction of Jasper's per-seat price; larger teams often value the workflow more than the savings.
If your work mixes both — analytical writing on weekdays, the occasional marketing artifact, and some browser-based prototyping — neither tool alone is the right answer. A general-purpose assistant covers the broad writing surface, with either Replit AI or Jasper added when the specific in-browser build-and-publish workflow or the specific marketing-content workflow is the actual bottleneck.
For coding and technical work
This is the use case where the two products diverge most sharply, because only one of them is built for the job at all.
Replit AI's strongest surface is "describe an app and get a running, publishable app in one tab." The pricing page on 2026-05-23 frames the product around the Agent: scaffold the project from a natural-language outcome ("a small CRUD tool for tracking bookings", "a static site that displays a dashboard", "a Discord bot that does X"), edit the files, install dependencies, run the code, and publish it without leaving the browser. The Starter tier is free, includes daily Agent credits, and lets you publish up to one project. Replit Core at $20/month (annual) bundles $25 of monthly Agent credits and up to 2 parallel agents. Replit Pro at $95/month (annual) bundles $100 of monthly Agent credits, up to 10 parallel agents, and "Access to the most powerful models." Enterprise inherits Replit Pro capabilities under custom terms. The pricing axis is the key tell: Replit charges for AI usage (Agent credits, parallel agents, model access tier) rather than for editor seats, so a single developer who leans heavily on the agent scales onto a higher Replit tier well before a "team" sale would be reached.
Jasper does not target coding at all. Its templates, brand-voice features, and workflow are oriented around marketing artifacts, not source files. There is no Jasper IDE plugin, no autocompletion surface, no PR integration, no codebase indexing, no agent that runs and deploys what it generates, and no model lineup pitched for code generation. A developer evaluating Jasper as a coding assistant is the wrong shopper. If a team has both developers and marketing writers, the natural stack is Jasper for marketing content and a separate, dedicated coding tool — Replit AI when the work is browser-first prototyping, education, and "ship a quick thing" use cases, GitHub Copilot when the work is the production codebase that lives in a private GitHub repository, or Cursor when the work is multi-file refactors and codebase chat inside an AI-first local editor.
None of this is a benchmark claim. Coding quality varies across languages, tasks, model versions, and prompt shapes, and Replit's underlying model lineup changes frequently. Treat any "X is better at code than Y" headline as out-of-date by the time you read it; do your own evaluation on the work you actually ship. The decision between Replit AI and Jasper on the coding axis is not "which writes better code" — it is "only one of these writes code at all", and that decides the question.
For research and fact-checking
Neither tool is a citation-first research engine, and neither tool should be relied on as a source-of-truth for facts about the world.
Replit AI is shaped around a project and a runtime, not around general research. Its agent and chat surface will fluently answer questions about the world, but the product is not pitched for that work and does not present inline citations the way a dedicated answer engine does. For project-specific "research" — understanding a function the agent just generated, mapping a small dependency graph inside the project, regenerating a test scaffold, debugging a stack trace from the runtime that just ran the code — Replit's agent is reasonable, because the runtime and the project state are both right there inside the tab. For everything outside the project the agent is editing, Replit AI is not the right tool; a dedicated AI answer engine or a real search engine plus primary sources is the better shape.
Jasper's generative features are drafting and rewriting, not citation. The platform does not pitch itself as a research tool, and its templates are organized around marketing-content production rather than around source-of-truth extraction. For marketing-content "research" — competitor messaging summaries, briefs, on-brand outline scaffolds — Jasper's templates can produce usable starting points, but the platform does not verify external claims for you, and outputs can hallucinate, especially for niche topics, regulated industries, or dated facts. Anything Jasper or Replit AI says about the world should be checked against a primary source before it ships in code, in a document, in a marketing asset, or in a customer-facing decision.
The practical takeaway: pick Replit AI for project-specific work inside the browser tab where the agent edits, runs, and publishes the code, and treat its chat about the world as a starting point. Pick Jasper for marketing-content drafting, and treat its output as drafts that need human editing and external-claim verification. For general research-style reading and writing across long documents, a general-purpose chat assistant (Claude) or a dedicated AI answer engine is closer to the job than either of these two.
For teams or businesses
The team buying decisions split cleanly because the two products solve different problems and report to different buyers.
Replit AI for teams is shaped around AI-usage pricing rather than seat-based pricing. The 2026-05-23 page section did not surface a dedicated mid-team SKU between Pro and Enterprise; team buying on Replit was framed as multiple Replit Pro seats at $95/month (annual) per seat (with $100 of monthly Agent credits and up to 10 parallel agents per seat) or an Enterprise contract that inherits "Everything in Pro" under custom terms. Because the runtime and deploy target live on Replit, the team buying decision also includes a procurement question that does not arise with a marketing-content tool: can your team's data-handling, compliance, and contractual posture accommodate running source code on a third-party hosted platform? For education, training, hackathons, internal demos, and prototype-stage work, the answer is often yes and the model fits the use case well. For production code on a private codebase under a strict data policy, the answer is often no, and an in-IDE or local-editor assistant (GitHub Copilot, Cursor, or a self-hosted alternative) is the closer fit. The typical Replit team buyer is an educator, a bootcamp lead, an engineering-ops manager standing up a prototyping environment, or — at smaller companies — a technical founder.
Jasper for teams is its primary buying motion. Pro at $69/seat/month (monthly billing) or $59/seat/month (annual billing) is the public per-seat price as of 2026-05-22; Business is custom pricing with a 12-month minimum commitment and is where dedicated account management, priority support, API access, and enterprise-grade governance are listed. The typical Jasper team buyer is marketing leadership: a head of content, a director of brand, a head of growth, or a CMO at a mid-market company. Specific data-handling policy for inputs and outputs, brand-voice persistence guarantees, and content-retention rules per tier should be confirmed with Jasper directly before procurement.
Because the buyers are different and the surfaces are different, there is no real "Replit AI vs Jasper" decision on most procurement tables — there is a "Replit AI yes/no" decision sized against engineering, education, or prototyping headcount, and a separate "Jasper yes/no" decision sized against marketing-content output. A company that ships both prototype/education work and marketing content at volume will likely buy both, sized independently. A company that does only one of those things has a clear-cut answer.
Admin/SSO availability, data-handling for AI inputs and outputs, code-snippet, prompt, and project retention policy per tier, hosted-execution scope (Replit only), and tenancy controls should all be confirmed on each vendor's official docs before procurement. Treat each vendor's published policy as the only authoritative source on what is and is not used for model training or improvement.
Pricing and plan caveats
- Replit AI: the page-body read of
replit.com/pricingon 2026-05-23 KST showed Starter at Free with "Free daily Agent credits" and the ability to "Publish up to 1 project", Replit Core at $20/month billed annually with $25 of monthly Agent credits and up to 2 parallel agents (described as a 20% discount vs the standard monthly rate; standard month-to-month rate not in scope of fetch), Replit Pro at $95/month billed annually with $100 of monthly Agent credits, up to 10 parallel agents, and "Access to the most powerful models" (described as a 5% discount vs the standard monthly rate; standard month-to-month rate not in scope of fetch), and Enterprise at Custom pricing inheriting all Replit Pro capabilities. Standard month-to-month rates without annual commitment, region-specific pricing, the exact list of frontier models on the Pro tier, the precise definition of "Agent credits," the daily Starter Agent-credit allowance, and any active promotions should all be re-read directly when needed at https://replit.com/pricing. - Jasper: the page-body read of
jasper.ai/pricingon 2026-05-22 KST showed Pro at $69/month per seat billed monthly or $59/month per seat billed annually (≈20% annual savings), Business at custom pricing with a 12-month minimum commitment, and a 7-day free trial of the Pro plan with no perpetual free plan. Region-specific pricing and promotional offers were not in scope of that fetch and should be verified on the official site at https://www.jasper.ai/pricing.
Both vendors have moved features and quotas between releases. Treat the numbers above as recent (May 2026) reference points, not as long-term guarantees. Re-verify before quoting either page in a high-stakes decision.
Who should choose Replit AI
- Your dev work is browser-first by choice or by constraint — Chromebook, school computer, low-spec laptop, workshop machine — and you do not want to maintain a local toolchain.
- You value generating, running, and publishing a prototype in one tab more than you value a deeply tuned in-IDE assistant.
- Your project's data sensitivity is compatible with running on a hosted third-party platform, and Replit's published data-handling for the tier you would buy meets your bar.
- You want pricing that scales with how much the AI agent does the work (Agent credits, parallel agents, model access tier) rather than how many seats you assign.
- You are teaching, learning, hacking, or prototyping — Replit's free Starter tier and the agent-led flow are particularly friction-free for first-time developers, students, classroom labs, and "ship a demo in an afternoon" use cases.
- Your top constraint is "I need a runnable, publishable artifact at the end of the session, not just edited source files."
Who should choose Jasper
- You run or sit inside a marketing team or agency producing brand-voiced content at volume across more than one channel (ads, landing pages, email sequences, blog drafts, product descriptions, social posts).
- You want a workflow product with templates, brand-voice memory, and team review wrapped around the underlying language model — not a blank chat prompt, not an editor, and not a browser-based IDE.
- You are willing to pay a marketing-tooling per-seat price ($69 monthly or $59 annual), not a consumer chat price point, because the workflow shape earns the difference for your team.
- You expect to procure at the team or department level — a single marketing leader (head of content, director of brand, CMO) signing off — rather than at the individual level.
- You want a dedicated content platform for marketing rather than fragmenting marketing-content work across the workspace tools (Notion, Google Docs) the rest of the company already uses.
Alternatives to consider
- GitHub Copilot — fits when you want AI inside the IDE you already use (VS Code, JetBrains, Visual Studio, Xcode, Neovim, Eclipse, Raycast, SQL Server Management Studio, Zed) without switching to a browser-based platform, and when your code, reviews, and team workflow already live on GitHub.
- Cursor — fits when you want an AI-first dedicated local editor with agentic multi-file edits, codebase chat with semantic search and indexing, and a next-edit Tab model as the default workflow on the developer's own machine.
- Claude — fits when the job is reasoning-heavy reading, writing, and analysis with coding as one task among many, and you want a careful general-purpose chat assistant plus a developer API rather than a browser-based IDE or a marketing-content workflow.
- Grammarly (AI) — fits when your primary need is real-time grammar, clarity, and tone suggestions inside the apps you already type in (Gmail, Google Docs, Word, Slack, browser forms), not a separate marketing-content workspace or a browser-based IDE.
- Notion AI — fits when your team already lives inside Notion and you want AI drafting, summarization, and Q&A inside that workspace rather than a separate marketing-content product or a browser-based IDE.
Bottom line
- Decide by what job you are hiring the tool for, not by which product sounds more capable in marketing copy. Replit AI and Jasper are not really competing for the same job — one is a browser-based AI development platform for building and publishing apps in a single tab, the other is a marketing-content platform for producing brand-voiced multi-channel copy at volume.
- If your job is browser-based prototyping, education, classroom labs, or shipping a small publishable app today, default to Replit AI. Starter (Free) is enough to evaluate the agent and the Publish flow; Replit Core at $20/month (annual) is the standard individual seat with $25/month of Agent credits and up to 2 parallel agents; Replit Pro at $95/month (annual) is the high-usage individual tier with $100/month of Agent credits, up to 10 parallel agents, and access to the most powerful models. Standard month-to-month rates without annual commitment were not surfaced on the 2026-05-23 fetch — verify on the official site before quoting.
- If your job is marketing-content production at volume across more than one channel, with brand voice and team review, default to Jasper — provided the per-seat price ($69/seat/month monthly or $59/seat/month annually) clears your team's value bar. The 7-day Pro trial is the cheapest way to test whether the workflow actually fits your team; Business is custom pricing with a 12-month minimum and adds dedicated account management, priority support, API access, and enterprise-grade governance.
- If your company does both — runs an education, prototyping, or hobbyist-developer function on Replit AI and ships marketing content at scale on Jasper — expect to buy both, sized independently against engineering/education headcount and marketing-content output respectively. There is no realistic "pick one and skip the other" path that covers both jobs well.
- Re-verify both vendors' pricing pages directly before any team-level commitment; both have changed plans, quotas, and model lineups multiple times in 2025–2026. Treat all AI-generated code as proposals that require review and tests (especially when the agent also runs and deploys what it wrote), treat all AI-generated marketing copy as drafts that require human editing and external-claim verification, and never accept either vendor's output as finished work without human review.
Sources
- Replit official AI feature page: https://replit.com/ai — recorded as
src-replit-ai-needs-verifyindata/sources.jsonwithaccess_status = ok(URL only on the most recent automated re-fetch). The id carries a legacyneeds-verifysemantic from an earlier seed scan, but the current access status isok. Cited here only as the official AI-feature URL; every Replit plan/price/credit allocation on this page is sourced from the pricing page below, not from this AI-feature source. - Replit pricing page: https://replit.com/pricing — recorded as
src-replit-pricing-2026-05-23indata/sources.jsonwithaccess_status = okafter a 2026-05-23 page-body read; this is the source of every Replit plan, USD price (annual-billing equivalent), Agent-credit allocation, and parallel-agent cap quoted on this page. - Jasper pricing page: https://www.jasper.ai/pricing — recorded as
src-jasper-pricing-2026-05-21indata/sources.jsonwithaccess_status = okafter a 2026-05-22 page-body read; this is the source of every Jasper plan/price quoted on this page (Pro $69 monthly / $59 annual, Business custom with 12-month minimum, 7-day Pro trial, no perpetual free plan). - Jasper official homepage: https://www.jasper.ai/ — recorded as
src-jasper-homepage-needs-verifyindata/sources.jsonwithaccess_status = okat 2026-05-22 (legacyneeds-verifysemantic in the id only; no pricing or feature claim is asserted from this source — it is cited only as the official homepage URL).
All four entries above resolve to official first-party URLs. Re-verify the two pricing pages before any new pricing-sensitive quote. If a later refresh changes the access status of
src-replit-ai-needs-verifyorsrc-jasper-homepage-needs-verify, this page does not need to be rewritten — it never asserts a fact from either source beyond what is visible on it today.
Internal links
/tools/replit-ai//tools/jasper//ai-coding//ai-writing//compare/cursor-vs-jasper//compare/github-copilot-vs-jasper//compare/github-copilot-vs-replit-ai//compare/cursor-vs-replit-ai/
Disclosure
- Affiliate links: none.
- Sponsored content: none. Neither Replit nor Jasper has any relationship to this page.
- Generative AI assistance: this draft was assembled with the help of an AI assistant working from the HMP source records and the two
qa_passedtool pages (tools/replit-ai.md,tools/jasper.md).
Trademark notice
Replit is a trademark of Replit, Inc. Jasper is a trademark of its operator. Chromebook is a trademark of Google. GitHub and Copilot are trademarks of GitHub / Microsoft. Cursor and Anysphere are trademarks of Anysphere. Anthropic and Claude are trademarks of Anthropic. Notion is a trademark of Notion Labs, Inc. Grammarly is a trademark of Grammarly, Inc. Other vendor and product names mentioned on this page are the trademarks of their respective owners. Use here is referential only and does not imply endorsement, partnership, or affiliation with any vendor.
Update log
- 2026-05-24 (draft): first local draft created from
templates/comparison-page-template.md. Both source tool pages (replit-ai,jasper) areqa_passedpercontent/content-status.json. - 2026-05-24 (QA): independent Section B walk-through completed. B1–B5 passed;
content_status = qa_passed. Re-verify both vendors' pricing pages by 2026-08-20, which is 90 days from the older of the two source-read dates (2026-05-22 for Jasper).