ML.ai Infinite

The coding agent that never runs out.

Hand it a bug fix, a test suite, or a week-long migration. It picks the model, runs the tests and opens the PR. Steer from terminal, IDE, GitHub or the web.

Download ML.aiRead the docs

Available for macOS, Linux and Windows. Private beta, India first.

Trusted by leading teams

NeoSapien, Pepsi, Heineken, American Express, Adidas, McKesson, American Electric Power, A. O. Smith, FanDuel, AWS, Tata Motors, Stellantis, Iron Mountain, Suntory, BT Group, Nissan, Breitling, América Móvil, DISH Network, McDonald's.

Runs the stack you already have

Why Infinite

Give it software work.
Not token budgets.

One flat price. No visible token counter. The agent keeps going until the job is verified, not until a meter runs dry.

0tokens you count
1flat price
∞jobs per month

Get started with ML.ai Infinite

Infinite is included in every plan. Choose how much concurrency you want, not how many tokens.

Infinite

For solo builders shipping side projects and client work.

₹699/ month

Founder price, locked for 12 months

  • Full agent in app, IDE and CLI
  • 2 jobs in parallel
  • Auto model routing
  • No visible token budget
Choose Infinite
Most chosen

Infinite Pro

For professionals who run several jobs at once and want the heaviest models on tap.

₹1,499/ month

Founder price, locked for 12 months

  • Everything in Infinite
  • 6 jobs in parallel
  • Highest-effort models on every step
  • Scheduled routines and GitHub app
Choose Pro

Infinite Max

For heavy users running migrations and multi-repo work around the clock.

₹3,999/ month

Founder price, locked for 12 months

  • Everything in Pro
  • 20 jobs in parallel
  • Priority queue at peak hours
  • Early access to new models
Choose Max

Team

Shared Skills, MLAI.md and routines for engineering teams.

$29/ seat / month

Billed annually, 5-seat minimum

  • Infinite Pro for every seat
  • Shared Skills and routines
  • Central usage and approval controls
  • SSO and audit log
Choose Team

Enterprise

Self-hosted or VPC deployment, custom model policy and support SLAs.

Custom

Annual contract

  • Everything in Team
  • Bring your own model endpoints
  • Data residency and private routing
  • Dedicated solutions engineer
Talk to sales

API

Drive Infinite from your own tooling and CI.

Included

With Team and Enterprise

  • Jobs, diffs and PR webhooks
  • Headless CLI for CI
  • Per-repo policy
  • Same fair-use rules as seats
API docs

Fair-use and concurrency rules apply. Prices shown are private-beta launch pricing in India and a working hypothesis until general availability; final launch terms, taxes and regional pricing will be announced at GA. Team pricing shown in USD. See the FAQ.

Built for real engineering work

From routine pull requests to your hardest migrations, Infinite completes tasks end to end and shows you exactly what it did.

Ships the whole task, not a suggestion

Point it at an issue. It reproduces the bug, edits the code, runs your test suite and opens a pull request with a plain-language summary of every change.

How verification works
acme-storefrontPull request
Implement dark mode across the app
Wired the theme end to end. Updated the theme model for light and dark, resolved the initial theme from system preference with a stored override, and added an applyTheme helper that toggles the document class before first paint to avoid a flash.
✓Changed 8 files +23 -16Review

Designed for parallel agents

Run many jobs at once across projects. Each agent works in its own sandbox and reports back with a diff you can review, so weeks of work land in days.

Jobs3 running · 2 queued
Running
Fix double-charge on checkoutTesting
Migrate auth to passkeysEditing 6 files
Write tests for paymentsReproducing
Done today
Layout broken on mobilePR #388 merged
Explain what this repo doesAnswered

The agent picks the model. You pick the outcome.

Every step is routed to the model that fits it, from a fast pass on boilerplate to a heavyweight model on a gnarly race condition. You set effort and constraints, not vendors.

RouteAuto · High effort
This job
Plan the checkout fixP3 Flash
Reproduce double-chargeP3 Flash
Edit charges.tsP3 Flagship
Run pnpm testP3 Flash
Open the PRP3 Flagship
✓Outcome set. Models chosen per step.Meter none

Adapts to how your team builds

Teach it your standards once with an MLAI.md and reusable Skills. It applies them on every task, so it needs less supervision the longer you work together.

MLAI.mdacme-storefront
Made for always-on background work
Schedule routine but important work like issue triage, dependency audits and CI watch. It runs on its own and pings you only when a decision is yours.
RoutinesThis week
Up next
CI watch · mainIn progress
Morning triage · new issuesStarts in 13 min
Dependency auditStarts in 4 h
Unread
Flaky test quarantined · cart.spec.tsJust now
Release check · v2.145 min
The agent finishes the work, not the budget.
No token count, no credit balance, no mid-task stop. You pay per seat, fair-use and concurrency rules apply, and the work runs to the end.
One overnight rewrite, two endings
Illustrative
An overnight workflow comparison: the metered agent stops when credits hit zero, leaving work unfinished. ML.ai Infinite continues, finishes the work, and opens a pull request at 04:30. Fair-use and concurrency rules apply.
What Infinite means, precisely 
How Infinite's flagship model stacks up
Nine coding-agent benchmarks from Pixis evaluation runs, focused on the flagship model inside Infinite's routing pool.
H High: appears on a public leaderboard for that exact benchmark and stackM Medium: reported by the vendor or extrapolated from a same-family scoreL Low: model-family trend estimate, no public number for the pair
Scroll horizontally to compare all models.
BenchmarkP3 FlagshipCC+Opus5Codex+GPT5.6AG+Gem3.1Cursor+GPT5.5Aider+Son4.5Devin
SWE-bench VerifiedRepo-level issue resolution · n=500 · Aug 2026 (351/386)90.9%97.0%-6.1pp H96.2%-5.3pp H80.6%+10.3pp M82.6%+8.3pp H77.2%+13.7pp M70.0%+20.9pp L
SWE-bench MultimodalVisual + code issue resolution · n=510 · Aug 202657.5%57.0%+0.5pp L54.0%+3.5pp L52.0%+5.5pp L50.0%+7.5pp L44.0%+13.5pp L38.0%+19.5pp L
SWE-bench ProCross-repo, larger context · n=1865 · Sep 2026 (687/724)94.9%79.2%+15.7pp M64.6%+30.3pp M54.2%+40.7pp M58.6%+36.3pp M43.6%+51.3pp H40.0%+54.9pp L
LiveCodeBench v6Live competitive programming · n=1055 · Aug 2026 (122/133)91.7%80.0%+11.7pp M90.0%+1.7pp L92.0%-0.3pp M88.0%+3.7pp L71.0%+20.7pp M60.0%+31.7pp L
HumanEval+Function synthesis, 80× tests · n=164 · 2024 (150/164)91.5%93.5%-2.0pp L93.0%-1.5pp L92.5%-1.0pp L92.5%-1.0pp L91.0%+0.5pp L85.0%+6.5pp L
MBPP+Mostly Basic Python Problems+ · n=378 · 2024 (317/378)83.9%82.0%+1.9pp L81.5%+2.4pp L80.5%+3.4pp L81.0%+2.9pp L79.5%+4.4pp L74.0%+9.9pp L
Terminal-Bench 2.1Shell / CLI task completion · n=161 · Sep 202677.2%89.1%-11.9pp H88.8%-11.6pp H70.0%+7.2pp M78.2%-1.0pp M52.0%+25.2pp M45.0%+32.2pp L
AgentBench-OSOS-interaction subset · multi-turn shell · 2024 (98/163)60.1%68.0%-7.9pp L67.0%-6.9pp L62.0%-1.9pp L63.0%-2.9pp L58.0%+2.1pp L55.0%+5.1pp L
SWE-rebenchFresh GitHub issues, decontaminated · n=11178.1%60.4%+17.7pp H58.0%+20.1pp H52.0%+26.1pp L51.7%+26.4pp H47.0%+31.1pp L42.0%+36.1pp L
Positive gaps mean P3 Flagship scores higher. Figures for other stacks are compiled from third-party leaderboards and vendor reports as of September 2026 and have not been independently verified by ML.ai; low-confidence cells are estimates. Benchmarks measure model capability under fixed harnesses and are not a guarantee of results on your codebase. Stack names are shown as text only and belong to their respective owners.
The same agent everywhere you code
Use Infinite in the desktop and web app, inside your editor and from the terminal, all connected by one ML.ai account.
Developer docs 
Let's build
Weather app▾
Add exponential backoff to the notifications API
Infinite in the app
Delegate long-running tasks, review diffs and approve PRs from desktop or web.
Download for macOS
slider.tsxpage.tsxslider.test.tsx
2 files edited +123 -42
slider.tsx+83 -0
page.tsx+40 -42
Looks great, add tests
Infinite IDE extension
Stay in VS Code or JetBrains. Hand off a task, keep coding, review when it lands.
Try in your IDE
ML.ai Infinite v0.9.3
model auto · effort high · meter none
tip: use /fork to branch the current job

❯ ml fix issues/381
Infinite CLI
Scriptable, pipeable, CI-friendly. The full agent in your terminal.
$ curl -fsSL get.mlai.dev | sh
Work it actually finishes
Four jobs from the Infinite demo suite. Same loop every time: reproduce, edit, run your tests, open a pull request. You review. Nothing merges on its own.
Bug fix · Payments
Double-charge on Pay
acme-storefront · Issue #381 · Next.js · pnpm
Customers were billed twice when they double-clicked Pay. The form fired two POST /charges before the first response landed. Infinite reproduced it against a test charge, added an idempotency key on the client, enforced it server-side, and covered both paths.
PR #3922 files · +13 / −4pnpm test · 214 passed4m 12sMeter none
  1. ReproduceDouble-submit against a test charge. Two POSTs, one intent.
  2. Editcharges.ts and PayButton.tsx. Idempotency key in the request and on the server.
  3. Testpnpm test · 214 passed, including the double-click path.
  4. PROpened #392 with a plain-language summary. Waiting on review.
Migration · Auth
Session cookies to passkeys
northstar-auth · Issue #208 · Node · WebAuthn
Move login off session cookies without locking anyone out. Infinite added WebAuthn register and assert, kept a one-release password fallback, and updated the e2e suite so the old path still signed in.
PR #9156 files · +84 / −19pytest · 61 passed18m
Data · Skill @migrate-db
Reserve stock, then backfill
acme-storefront · Prisma · Postgres
Add reserved_at, backfill from stock movements, and ship rollback SQL in the same PR. The @migrate-db skill ran migrate, backfill, and a dry-run rollback before opening #406.
PR #4064 files · +41 / −6prisma migrate11m
Routine · CI watch
Flaky cart.spec.ts
acme-storefront · Playwright · main
Nightly CI watch caught a race, not a product bug. Infinite quarantined the spec, replaced a sleep(500) with waitFor on the cart total, and opened the patch before standup.
PR #4011 file · +7 / −3playwright6m
What teams are building with it
Real teams shipping real products with less time spent managing token budgets.
"We stopped picking models one by one. ML.ai learned the ones we needed and ran them cheaper than we could."
Aryan YadavCo-Founder & CTO, NeoSapien
"Infinite has been like an extra engineer on the team, helping us ship our product faster and for a lot less than hiring would have cost."
Shantanu DasFounder, Infrasity
"What sold us wasn't a demo, it was the diffs. Clean, reviewable changes with tests that actually pass, on the workflow-automation edge cases our own team kept deprioritizing."
Sudipta Biswasat Floworks
Frequently asked questions
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