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Best AI Code Assistants in 2025 (Hands‑On Benchmarks & Pricing)

Best AI Code Assistants in 2025 (Hands‑On Benchmarks & Pricing)

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  • Post last modified:August 26, 2025

TL;DR (Best picks at a glance)

  • Best overall for most devs: GitHub Copilot — now with a Free tier and flexible Pro/Pro+ options; seamless in VS Code/GitHub repos. GitHub
  • Best for AWS‑centric teams: Amazon Q Developer — tight AWS integration, Pro at $19/user/mo with free‑tier limits for agentic requests. Amazon Web Services, Inc.
  • Best if you live in JetBrains IDEs: JetBrains AI Assistant (with Junie) — deep IDE integration; AI Ultimate is $30/mo; AI Pro commonly listed at $10/mo. The JetBrains BlogSD Times
  • Best “AI‑native” editor experience: Cursor — Pro plan with pooled API‑priced usage and a $200/mo Ultra tier for power users. Cursor+1
  • Best value IDE + credits combo: Windsurf (formerly Codeium)Free for individuals; Pro $15, Teams $30, Enterprise from $60/user/mo with monthly prompt credits. WindsurfWindsurf Docs
  • Best for privacy‑first enterprises: TabnineDev $9/mo, Enterprise $39/user/mo, with private deployment options. Tabnine
  • Best open‑source & BYO models: Continue.devSolo $0, Team $10/dev/mo, optional Models add‑on $20/mo. Continue
  • Best long‑codebase context/search: Sourcegraph Cody (Enterprise) — Free/Pro ended July 23, 2025; enterprise remains. Sourcegraph
  • Best all‑in‑one cloud dev env + agent: Replit AgentCore $20/mo w/ credits; Teams $35/user/mo. Replit
  • Best Google Cloud workflows: Gemini Code AssistStandard $22.80/mo (or $19 with annual); Enterprise $54/mo (or $45 annual). Google Cloud

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Table of contents

  1. What to look for in the best AI code assistants in 2025
  2. Hands‑On Benchmarks you can run today
  3. Top AI code assistants in 2025: details & pricing
    • GitHub Copilot
    • Amazon Q Developer
    • Gemini Code Assist
    • JetBrains AI Assistant (Junie)
    • Cursor
    • Windsurf (Codeium)
    • Tabnine
    • Continue.dev
    • Sourcegraph Cody (Enterprise)
    • Replit Agent
  4. Comparison table (features & pricing)
  5. Which AI code assistant should you choose?
  6. FAQ

What to look for in the Best AI Code Assistants in 2025

What to look for in the Best AI Code Assistants in 2025
What to look for in the Best AI Code Assistants in 2025
  • Model quality & latency: Better models and reasoning ≠ always better UX. Measure suggestion usefulness, correctness, and time‑to‑merge.
  • Repository awareness: Can it index the repo, follow your project structure, and answer questions with code context?
  • Tests & refactors: Look for multi‑file edits, test generation, and safe refactors with diffs.
  • Security & privacy: Enterprise SSO/SCIM, data retention options, indemnities, and on‑prem modes may be non‑negotiable.
  • Ecosystem fit: Does it run where you live—VS Code, JetBrains, terminal, cloud IDEs—and support your languages/frameworks?
  • Predictable pricing: Watch for per‑seat vs. usage‑based vs. credit pools; some tools pair a subscription with API‑priced usage for “frontier models.”

Hands‑On Benchmarks (how to test assistants yourself)

Hands‑On Benchmarks (how to test assistants yourself)
Hands‑On Benchmarks (how to test assistants yourself)

Below is a lightweight, reproducible protocol you can apply across assistants. It complements public model leaderboards like SWE‑bench (real‑world bug‑fix tasks with pass/fail tests) and LiveCodeBench (fresh competitive‑programming problems), which are helpful context for underlying model capability. SWE-benchlivecodebenchpro.com

Your 5‑task micro‑suite

  1. Refactor & tests: Ask the assistant to refactor a 150–300‑line module and write unit tests. Score compile/test pass and diff quality.
  2. Bug‑fix from issue: Give a minimal issue description + failing tests. Measure iterations to green tests and correctness of fix.
  3. Feature stub: Implement a new endpoint or CLI subcommand with validation and tests. Measure time‑to‑merge and code quality.
  4. Cross‑file change: Rename or extract logic across files (e.g., service + controller + tests). Check completeness and edge cases.
  5. Docs & onboarding: Generate concise docs (README section) and a migration note. Evaluate clarity & accuracy.

Scoring rubric (keep it simple)

  • Correctness (40%): All tests pass; no regressions.
  • Completeness (20%): Edge cases, input validation, error handling.
  • Maintainability (20%): Readable code, comments, and structure.
  • Iteration cost (10%): Fewer back‑and‑forth steps is better.
  • Speed (10%): Wall‑clock time to “ready to PR.”

Tip: keep the same repository and tasks across assistants and run each one cold (no prior chat history). If you want to align with public benchmarks for context, read the SWE‑bench task format and pass/fail rules; for coding ability, explore LiveCodeBench or derivative leaderboards to see how top models are trending in 2025. SWE-benchlivecodebenchpro.com

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Top AI Code Assistants in 2025 — details & pricing

1) GitHub Copilot (VS Code, JetBrains, Neovim)

Why it’s great: Polished UX, strong completions, repo‑aware chat, and seamless GitHub workflows.

  • Pricing (Aug 2025):
    • Free: 2,000 completions + 50 chat req/month.
    • Pro: $10/month, Pro+: $39/month (individuals).
    • Business: $19/user/month; Enterprise: $39/user/month. GitHub
  • Best for: Developers living in GitHub/Codespaces with VS Code.
  • Watch‑outs: Advanced repo‑scale reasoning sometimes benefits from companion tools (search/indexers).

2) Amazon Q Developer (IDE, CLI, AWS Console)

Why it’s great: Tight AWS integration, “agentic” chat and coding, and language‑upgrade agents with LOC quotas.

  • Pricing (Aug 2025):
    • Free tier: 50 agentic requests/month.
    • Pro: $19 per user/month, with pooled 4,000 LOC for Java/.NET transformation and overage at $0.003/LOC; free tier includes 1,000 LOC. Amazon Web Services, Inc.
  • Best for: Teams building/operating on AWS (Lambda, ECS, CDK, etc.).
  • Watch‑outs: Keep an eye on request/LOC limits for heavy transformations.

3) Google Gemini Code Assist (Standard & Enterprise)

Why it’s great: Strong context windows, Google Cloud integrations, and expanding CLI/IDE options.

  • Pricing (Aug 2025): Standard $22.80/mo or $19/mo with annual, Enterprise $54/mo or $45/mo with annual (per user). Google Cloud
  • Notes: Licenses managed via Google Cloud; documentation compares Standard vs Enterprise capabilities. Google Cloud+1
  • Best for: GCP‑centric teams; orgs standardizing on Gemini tooling.

4) JetBrains AI Assistant (with Junie agent)

Why it’s great: Deep, native integration across IntelliJ IDEA, PyCharm, WebStorm, Rider, and more—multi‑file edits, refactors, tests, and agent workflows.

  • Pricing (Aug 2025):
    • AI Ultimate: $30/month (individual example; includes bonus AI credits per JetBrains). The JetBrains Blog
    • AI Pro: commonly referenced at $10/month (also included in some paid JetBrains bundles); quotas differ by tier. SD Times
    • Licensing docs and FAQs outline Pro/Ultimate/Enterprise tiers and quota model. JetBrains+1JetBrains
  • Best for: Teams already committed to JetBrains IDEs.
  • Watch‑outs: Cloud‑model quotas apply; some enterprise features (e.g., custom LLMs) require higher tiers.

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5) Cursor (AI‑native code editor)

Why it’s great: Editor built around AI—multi‑file changes, background agents, and “Auto” model routing; strong for iterative refactors and PR prep.

  • Pricing (Aug 2025):
    • Pro plan: includes at least $20 of model usage at API prices (post‑June 2025 change).
    • Ultra: $200/month for power users; Pro shifts to a usage/credit pool. Cursor+1
    • Reports in July noted Pro at $20/mo with changes to how usage is metered. TechCrunch
  • Best for: Developers wanting an “AI‑first” editing experience.
  • Watch‑outs: Usage accounting can feel complex—understand credit pools and overages.

6) Windsurf (formerly Codeium; IDE + AI credits)

Why it’s great: Generous free plan for individuals, plus clear monthly prompt credits on paid tiers. Editor and plugins available.

  • Pricing (Aug 2025): Free forever for individuals; Pro $15/mo, Teams $30/user/mo, Enterprise from $60/user/mo with defined prompt‑credit bundles and add‑ons. WindsurfWindsurf Docs
  • Best for: Individuals/startups seeking value; teams wanting predictable credits.
  • Watch‑outs: Credits/limits differ per tier; check add‑on pricing.

7) Tabnine (privacy‑first, enterprise‑ready)

Why it’s great: Longtime focus on private and on‑prem options; straightforward pricing and solid IDE coverage.

  • Pricing (Aug 2025): Dev $9/month; Enterprise $39/user/month (annual for Enterprise). Tabnine
  • Best for: Companies prioritizing data control, private deployment, and compliance.
  • Watch‑outs: Feature set centers on completions + chat; compare repo‑wide reasoning vs. others.

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8) Continue.dev (open‑source, bring‑your‑own models)

Why it’s great: Open‑source platform for building custom AI code assistants. Use your own API keys/providers; strong for teams that want control.

  • Pricing (Aug 2025): Solo $0; Team $10/developer/month; optional Models add‑on $20/month for frontier models. Continue
  • Best for: Builders who prefer open tooling, customization, and cost control.
  • Watch‑outs: You manage model keys/quotas and guardrails.

9) Sourcegraph Cody (Enterprise only)

Why it’s great: Deep codebase context and search; fits orgs already invested in Sourcegraph platform.

  • Pricing update (June–July 2025): Cody Free and Cody Pro ended July 23, 2025; Cody Enterprise continues. Sourcegraph
  • Best for: Large codebases with Sourcegraph code search as a backbone.
  • Watch‑outs: Enterprise engagement; contact sales.

10) Replit Agent (cloud dev environments + agent)

Why it’s great: One place to code, run, deploy, and chat with an agent; generous credits on paid tiers.

  • Pricing (Aug 2025): Core $20/mo with $25 monthly credits; Teams $35/user/mo with $40 credits; details include model access and AI agent features. Replit
  • Best for: Teams who like browser‑based dev, instant environments, and fast deploys.
  • Watch‑outs: Understand credit usage (deploy, compute, agent tasks).

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Comparison table (features & pricing)

Pricing reflects public pages as of August 2025 and may change. Always confirm on the vendor’s site.

AssistantBest ForStarter Pricing (Aug 2025)Context/Notes
GitHub CopilotMost devs on GitHub/VS CodeFree, Pro $10, Pro+ $39, Business $19/user, Enterprise $39/userNew Free tier adds 2,000 completions + 50 chat req/month. GitHub
Amazon Q DeveloperAWS‑centric SDLCFree tier, Pro $19/user/mo + pooled LOCPro includes 4,000 LOC/month for Java/.NET upgrades; overage $0.003/LOC. Amazon Web Services, Inc.
Gemini Code AssistGoogle Cloud workflowsStandard $22.80/mo or $19 annual, Enterprise $54/mo or $45 annualLicenses via Google Cloud; Standard vs Enterprise feature matrix. Google Cloud+1
JetBrains AI (Junie)JetBrains IDE usersAI Pro commonly $10/mo, AI Ultimate $30/moTiers differ by cloud credits/quotas; Ultimate example from JetBrains blog. SD TimesThe JetBrains Blog
CursorAI‑native editorPro plan with ~$20 usage pool; Ultra $200/moPro moved from request limits to compute/credit pool. Cursor+1
Windsurf (Codeium)Value + creditsFree, Pro $15, Teams $30, Enterprise $60+Prompt‑credit bundles per tier; plugins & editor. Windsurf
TabninePrivacy‑first enterpriseDev $9/mo, Enterprise $39/user/moPrivate/on‑prem options. Tabnine
Continue.devOpen‑source & BYO modelsSolo $0, Team $10/dev/mo, Models add‑on $20Bring your own API keys or providers. Continue
Sourcegraph CodyLarge repos, enterpriseEnterprise onlyFree/Pro ended July 23, 2025. Sourcegraph
Replit AgentCloud IDE + agentCore $20/mo (credits), Teams $35/user/mo (credits)Includes model access and AI agent capabilities. Replit

Which AI code assistant should you choose?

Which AI code assistant should you choose?
Which AI code assistant should you choose?
  • Solo devs / hobbyists: Start with Copilot Free or Windsurf Free. If you rely on JetBrains IDEs, try JetBrains AI Free → Pro and watch your usage. GitHubWindsurfJetBrains
  • Small teams on a budget: Continue.dev (Team $10) with Models add‑on $20 is cost‑effective if you’re comfortable managing API keys. Windsurf Pro ($15) is a tidy bundle if you prefer a fixed monthly credit model. ContinueWindsurf
  • AWS shops: Choose Amazon Q Developer Pro for IDE/CLI/console coverage and modernization agents. Amazon Web Services, Inc.
  • GCP shops: Gemini Code Assist (Standard/Enterprise) aligns with Google Cloud consoles, CLIs, and IDEs. Google Cloud+1
  • JetBrains orgs: JetBrains AI is the least friction; pick AI Pro for most devs, AI Ultimate for heavy cloud usage. JetBrainsThe JetBrains Blog
  • Enterprise privacy/compliance: Tabnine Enterprise or Cody Enterprise if you’re deep into Sourcegraph. TabnineSourcegraph
  • AI‑first workflows: Cursor or Windsurf provide “editor as an agent” experiences; understand credit pools and limits. CursorWindsurf
  • Cloud dev from the browser: Replit Agent (Core/Teams) for build → deploy in one place. Replit

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FAQ

Q1) Are public leaderboards useful for choosing assistants?
Yes—SWE‑bench shows real‑repo bug‑fix skill, while LiveCodeBench tests problem‑solving on fresh tasks. They reflect model capability more than tool UX, so still run a hands‑on trial in your codebase using the 5‑task suite above. SWE-benchlivecodebenchpro.com

Q2) Is GitHub Copilot free in 2025?
There’s now a Free individual tier (2,000 completions + 50 chats/month), plus paid Pro/Pro+ and org‑level Business/Enterprise options. GitHub

Q3) What’s the current price of Amazon Q Developer?
Pro is $19 per user/month with agentic request limits and 4,000 LOC for code transformation pooled across users; overage is $0.003/LOC. Amazon Web Services, Inc.

Q4) How much does Gemini Code Assist cost?
Standard is $22.80/month (or $19 with annual commit), Enterprise is $54/month (or $45 annual), per user. Google Cloud

Q5) What changed with Cursor pricing in 2025?
Cursor moved Pro from request limits to a compute/credit pool (at least $20 of model usage/month) and introduced Ultra $200/mo for heavy users. Cursor+1

Q6) Is there a truly open‑source option?
Yes—Continue.dev is open‑source with a $0 Solo tier; you can bring your own API keys/models or add a models bundle. Continue


On pricing and fairness (important in 2025)

Pricing has trended toward credit pools and usage‑based models because “agentic” workflows can consume large amounts of compute. Expect tiers to evolve; always check the current pricing page for each product before committing. Business Insider


Final thoughts

If you only try one tool, make it Copilot or your platform’s native choice (Amazon Q Developer for AWS, Gemini Code Assist for GCP, JetBrains AI for JetBrains shops). Then run the 5‑task micro‑suite above on your real repo. The tool that gets you to green tests faster with fewer iterationsat a price you’re comfortable with—is your best AI code assistant in 2025.


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References (selected)

  • GitHub Copilot pricing (Free, Pro, Pro+, Business, Enterprise). GitHub
  • Amazon Q Developer pricing (Free tier, Pro $19, LOC allocations & overage). Amazon Web Services, Inc.
  • Gemini Code Assist pricing (Standard/Enterprise monthly & annual). Google Cloud
  • JetBrains AI tiers & quotas (AI Pro/Ultimate overview + blog example for $30 Ultimate). JetBrainsThe JetBrains Blog
  • Cursor Pro/Ultra updates (credit pool + $200/mo Ultra). Cursor+1
  • Windsurf (Codeium) pricing (Free, Pro $15, Teams $30, Enterprise $60+). Windsurf
  • Tabnine pricing (Dev $9, Enterprise $39). Tabnine
  • Continue.dev pricing (Solo $0, Team $10, Models add‑on $20). Continue
  • Sourcegraph Cody update (Free/Pro ended; Enterprise continues). Sourcegraph
  • Replit pricing (Core $20 with credits; Teams $35 with credits). Replit
  • Benchmarks for context: SWE‑bench leaderboards; LiveCodeBench updates. SWE-benchlivecodebenchpro.com

On accuracy: Prices and features are current as of August 24, 2025, according to the vendor pages and docs linked. Vendors adjust pricing and limits regularly—verify before purchase