LLM Coding Tool Report

LLM Coding Tools in 2025: Windsurf vs Cursor vs Copilot vs Claude Code vs Codex vs Antigravity

How to choose (decision framework)

Most choices come down to three axes:

  1. Autonomy: do you want autocomplete + chat, or an agent that can plan, edit many files, and run tools?
  1. Model control: do you want to pick Claude/GPT/Gemini per task, or accept a bundled choice?
  1. Cost predictability: do you want a flat bill, or are you okay with credits/tokens that can spike on “thinking” modes?

Quick defaults:


Feature comparison

ToolBest atWeak atWorkflowModel choiceAgent can run tools?Cost shape
WindsurfFast agentic multi-file edits + easy model switchingPremium “thinking” models can burn credits fastIDE + CascadeYes (multiple providers)YesSubscription + credits + top-ups
CursorAgentic workflow in a VS Code-like editorHeavy use pushes you into higher usage tiers/poolsDedicated editorYes (varies by tier/auto-routing)YesSubscription tiers + included usage pool
GitHub CopilotAutocomplete + lightweight in-editor chatNot built for long-running “run tools + iterate” agentsPlugins everywhereLimited/plan-dependentLimitedFlat subscription + premium request quota
Claude CodeStrong agent for repo-wide changes + reviewsPredictability: plan limits or token billsCLI / agent flowMostly ClaudeYesSubscription plans and/or API tokens
OpenAI CodexTask-based software eng agent (edit files + run tests/linters)Capacity depends on plan/limits (no simple quota)ChatGPT + IDE/CLI optionsOpenAI modelsYesIncluded in ChatGPT plans; API option
Google AntigravityOrchestrating multiple agents + verifiable “Artifacts” trailPreview limits; future pricing unknownEditor view + Manager surfaceGemini 3 Pro + othersYes (editor/terminal/browser)$0 preview + rate limits

Cost comparison (normalized)

A single “what does it cost?” number is hard because tools count different things, but you can still compare using a common frame:

Moderate daily use assumption: ~20 premium/agent requests per day600 per month

(Autocomplete/tab completion excluded; many tools treat it differently.)

Windsurf (credits)

Windsurf is inexpensive if you mostly use low-multiplier models; it’s expensive if “thinking” modes are your default.

Cursor (subscription + included usage) (uncertain)

Cursor publishes tiers and included usage pools, but the mapping from “request” → bill depends on model choice and how long the agent runs.

Practical read:

GitHub Copilot (flat fee + premium requests)

Claude Code (subscription and/or tokens) (uncertain)

Rule of thumb: Claude Code is cost-effective when you use it for bigger discrete jobs (refactors, sweeping reviews), and less predictable if you keep an agent running constantly.

OpenAI Codex (plans and/or tokens) (uncertain)

Codex is built for delegated coding tasks that include running commands as part of completion (tests/linters/type-checkers).

It’s available via ChatGPT plans, but plan throughput isn’t expressed as a single clean “X tasks/month” number. API usage exists; costs depend on tokens and iteration.

Google Antigravity (free preview; future pricing unknown)

Antigravity is currently a public preview with $0 cost and rate limits. Future pricing is unknown.


Tool snapshots (what to use when)

Windsurf

Use it when:

Avoid it when:

Cursor

Use it when:

Avoid it when:

GitHub Copilot

Use it when:

Avoid it when:

Claude Code

Use it when:

Avoid it when:

OpenAI Codex

Use it when:

Avoid it when:

Google Antigravity

Use it when:

Avoid it when:

What “multi-agent orchestration” means in practice:


Recommendations (concrete heuristics)

If you want one simple default:

If you want an agentic IDE and model choice:

If you care about “run tools + iterate” agents:

If you want to experiment now:


Sources