AI coding assistants compared: pricing, code review and IDE support

JetBrains AI Assistant: expert take

One AI credit equals one dollar and stays valid twelve months from purchase, which is rare plain speaking in a market that prices in invented units. The free tier hands over three credits per thirty days, enough to see the feature and not to use it.

Where JetBrains AI Assistant holds up

• Deep IDE integration across all JetBrains products
• Understands project structure deeply
• Local processing option for privacy
• Smooth refactoring with IDE context

★★★★☆4.4CE scoreCapterra 4.3Founded 2000Verified July 16, 2026

Cursor: expert take

Every paid tier is a dollar pool named after its own price: $20 on Pro, $200 on Ultra. Empty it and work continues at API rates, on an invoice nobody approved. Teams Standard and Teams Premium cost $40 and $120 a seat, and the credit pool inside both is identical.

Where Cursor holds up

• Repo-wide context via '@' that actually tracks how files connect before it edits them
• Multi-file agent edits from one instruction, with a diff you approve before it writes
• Model choice on every request: Opus 4.8, Sonnet 5, GPT-5.5, Gemini 3.1 Pro, switched per task
• A genuine VS Code fork, so your extensions, keymaps, and muscle memory carry over
• Free Hobby tier with a two-week Pro trial that is enough to judge the fit before you pay

★★★★★4.6CE scoreG2 4.5 · 78 reviewsCapterra 4.8Founded 2023Verified July 16, 2026

Amazon Q Developer: expert take

The unit of account is a line of code: transformation runs a thousand lines free and four thousand on Pro, then charges three tenths of a cent for every line past that. The Pro quota pools at the account level rather than per user, which favours a team.

Where Amazon Q Developer holds up

• Best AWS-specific code generation for CDK, CloudFormation, and IAM policies
• Automated Java version upgrade transformation handles tedious migration work
• Free tier with unlimited completions is more generous than GitHub Copilot

★★★★☆4.3CE scoreG2 4.2 · 37 reviewsVerified July 8, 2026

Codeium: expert take

The quota is the catch. Past it, Pro and Max bill at API pricing, and the vendor says outright that the price of a message moves with the model and the size of the task. Enterprise counts in prompt credits instead, a thousand per user, the only tier on that unit.

Where Codeium holds up

• Free tier gives you unlimited Tab completions and inline edits, not a countdown trial
• 70-plus languages and 40-plus IDEs, which is the widest editor coverage in the category
• Pro routes to current frontier models, Claude Opus 4.8, Sonnet 5, GPT-5.x, and Gemini 3.1 Pro, so you pick per task
• Whole-codebase context, so completions reference your actual functions and patterns rather than guessing
• Self-hosted deployment with zero-retention guarantees for security-bound enterprise teams

★★★★★4.7CE scoreG2 4.6 · 32 reviewsCapterra 4.5Founded 2022Verified July 8, 2026

Bolt.new: expert take

The free plan carries two ceilings at once, 300,000 tokens a day and a million a month, both applying. Pro lifts the daily cap and starts at ten million. No overage rate exists: empty the allowance and the only move is a bigger tier.

Where Bolt.new holds up

• One prompt produces a working full-stack app, frontend, backend, and database, not just a snippet
• Generation runs on current frontier models, mainly Claude Sonnet 5 and Opus 4.8, so first drafts hold up
• Live preview and code editing in the browser, with a real file explorer, terminal, and package manager
• One-click deploy to Netlify, so the gap from prompt to live URL is minutes
• Free tier is a real plan with 1M monthly tokens, enough to build and test several small apps

★★★★★4.7CE scoreG2 4.6 · 6 reviewsCapterra 4.5Founded 2024Verified July 8, 2026

v0 by Vercel: expert take

Business costs $100 a seat and includes exactly the credits the $30 Team plan does. The extra buys a training opt-out, not capacity. Short prompts are not cheap either, because the codebase context travels with every message and the rate table changes with the model mode.

Where v0 by Vercel holds up

• Clean, production-ready React output built on shadcn/ui and Tailwind, structured for copy-paste
• Fast iterative refinement loop, so shaping a component through follow-up prompts is genuinely quick
• Its own v0 model tiers, Mini through Max Fast, front current frontier models so you can trade cost against quality
• Tight Vercel integration, so a generated UI deploys to production infrastructure instantly
• Accessibility, responsive layout, and dark mode handled by default rather than as an afterthought

★★★★★4.6CE scoreCapterra 4.5Founded 2023Verified July 16, 2026

Replit AI: expert take

Credits here buy effort, so the price of a task is unknown until the agent finishes it. The $100 Replit Pro plan is the bottom of a range rather than a tariff: a dropdown inside the card raises the credits and the price together.

Where Replit AI holds up

• Full cloud IDE, not an extension, so write, run, and deploy all happen in one browser tab
• The Agent routes to current frontier models, mainly Claude Sonnet 5 and Opus 4.8, for real generation quality
• Whole-workspace context, so the assistant sees every file in the project rather than the open buffer
• Zero-config setup: the AI works the instant you open a Replit project, nothing to install
• Real-time multiplayer coding with AI in the loop, like a shared editor for a team

★★★★★4.5CE scoreG2 4.4 · 355 reviewsCapterra 4.3Founded 2016Verified July 8, 2026

Augment Code: expert take

Augment sells no seats. The $100 Business plan covers up to fifty people and folds in the same amount of usage, after which model tokens burn at the provider's public list price plus a forty percent service fee. Compute underneath carries no such markup.

Where Augment Code holds up

• Best deep codebase understanding
• Excellent for large enterprise codebases
• Strong privacy and security controls
• Works with both VS Code and JetBrains

★★★★★4.7CE scoreG2 4.6 · 5 reviewsFounded 2022Verified July 16, 2026

Tabnine: expert take

Model quality is not the pitch, deployment is. Tabnine's own model access adds the provider's token price plus five percent handling, and your own endpoint removes that charge entirely. Headless agents drop seats altogether and sell processing capacity: 1,200 dollars a month up to five billion tokens.

Where Tabnine holds up

• Runs locally or self-hosted for maximum code privacy
• Trains on your private repositories for team-specific suggestions
• Supports a wide range of IDEs, including older versions
• Permissive licensing; never trains on user code without consent
• Enterprise plan offers full control over model deployment

★★★★☆4.2CE scoreG2 4.1 · 48 reviewsCapterra 4.2Founded 2017Verified July 16, 2026

Cline: expert take

There is no software to buy, which also means no ceiling on what you spend: the platform is free and every dollar goes to the model provider on your own key. The enterprise tier adds SSO and support, and its price is the one number never printed.

Where Cline holds up

• Fully autonomous: reads files, writes diffs, runs commands, and verifies its own work
• Open source, so you can inspect it, extend it, and self-host without gatekeeping
• Model-agnostic BYOK: Claude Opus 4.8, GPT-5.5, DeepSeek V4, or a local model via Ollama
• Plan mode shows every proposed file change before it writes, so you approve or reject each step
• Active community development and a fast-moving open codebase

Founded 2024Verified July 16, 2026

Phind: expert take

Phind is gone. The vendor shut the product down, refunded subscribers pro rata and left a two-week window to export data. Whatever prices the record still holds are history, which is why the row scores zero rather than cheap.

Where Phind holds up

• Cites its sources on generated code and explanations, so you can check the claim instead of taking it on faith
• Pulls live web results, so answers track current library versions instead of a training cutoff
• Pair Programmer mode gives interactive, guided coding rather than a single dump
• Routes to frontier models plus its own tuned models, not a thin wrapper on one API
• Reads whole GitHub repositories for contextual code answers

★★★★★4.6CE scoreG2 4.5 · 1 reviewsCapterra 4.4Founded 2022Verified July 8, 2026

Continue: expert take

Continue's commercial line is winding down after Cursor acquired it, and the pricing page now redirects to the acquisition notice. The extension stays open source and runs on your own keys. The $30 models add-on was never a tariff, and the record no longer treats it as one.

Where Continue holds up

• Connect any LLM, Claude Opus 4.8, GPT-5.x, Gemini 3.1 Pro, or a local model via Ollama, through one config
• Whole-workspace codebase context, so the assistant reasons over the whole project, not the open file
• Custom slash commands let you turn reusable prompts into one-word shortcuts
• Self-host the entire thing for maximum privacy, with code never leaving your infrastructure
• Full IDE support across both VS Code and JetBrains, not just one editor

★★★★★4.7CE scoreG2 4.6 · 717 reviewsFounded 2023Verified July 8, 2026