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:
- Autonomy: do you want autocomplete + chat, or an agent that can plan, edit many files, and run tools?
- Model control: do you want to pick Claude/GPT/Gemini per task, or accept a bundled choice?
- Cost predictability: do you want a flat bill, or are you okay with credits/tokens that can spike on “thinking” modes?
Quick defaults:
- Cheap, simple, ubiquitous → GitHub Copilot
- Agentic IDE + you want to switch models freely → Windsurf
- Agentic VS Code-like editor in one package → Cursor
- Strong CLI-style agent for repo-wide work → Claude Code
- Task-based agent that runs commands as part of completion → OpenAI Codex
- Try multi-agent orchestration (currently free preview) → Google Antigravity
Feature comparison
| Tool | Best at | Weak at | Workflow | Model choice | Agent can run tools? | Cost shape |
|---|---|---|---|---|---|---|
| Windsurf | Fast agentic multi-file edits + easy model switching | Premium “thinking” models can burn credits fast | IDE + Cascade | Yes (multiple providers) | Yes | Subscription + credits + top-ups |
| Cursor | Agentic workflow in a VS Code-like editor | Heavy use pushes you into higher usage tiers/pools | Dedicated editor | Yes (varies by tier/auto-routing) | Yes | Subscription tiers + included usage pool |
| GitHub Copilot | Autocomplete + lightweight in-editor chat | Not built for long-running “run tools + iterate” agents | Plugins everywhere | Limited/plan-dependent | Limited | Flat subscription + premium request quota |
| Claude Code | Strong agent for repo-wide changes + reviews | Predictability: plan limits or token bills | CLI / agent flow | Mostly Claude | Yes | Subscription plans and/or API tokens |
| OpenAI Codex | Task-based software eng agent (edit files + run tests/linters) | Capacity depends on plan/limits (no simple quota) | ChatGPT + IDE/CLI options | OpenAI models | Yes | Included in ChatGPT plans; API option |
| Google Antigravity | Orchestrating multiple agents + verifiable “Artifacts” trail | Preview limits; future pricing unknown | Editor view + Manager surface | Gemini 3 Pro + others | Yes (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 day ≈ 600 per month
(Autocomplete/tab completion excluded; many tools treat it differently.)
Windsurf (credits)
- Pro includes 500 credits/month; top-ups are $10 per 250 credits (~$0.04/credit).
- If your average request costs 1 credit: ~600 credits ⇒ about $19/month.
- If your average request costs 4 credits: ~2400 credits ⇒ about $91/month.
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:
- If you’re doing short agent turns most days, Pro can be enough.
- If you regularly run long-horizon agent tasks daily, expect Pro+ or Ultra.
GitHub Copilot (flat fee + premium requests)
- Pro is $10/month and includes 300 premium requests; extra premium requests are $0.04 each.
- 600 premium requests/month works out to about $22/month.
- If you routinely exceed that, Pro+ is the “don’t think about it” option.
Claude Code (subscription and/or tokens) (uncertain)
- Anthropic Pro/Max plans are subscription-based, with usage governed by limits that vary with workload.
- API usage is token-billed; costs can swing dramatically based on context size and iterations.
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:
- You like an IDE agent, and you want to switch between Claude/GPT/Gemini by task.
- You care about seeing spend (credits) and tuning model choice.
Avoid it when:
- You reach for premium “thinking” modes on most prompts and want a flat bill.
Cursor
Use it when:
- You want a single, polished VS Code-like environment with agent workflows.
- You prefer paying up for a higher tier rather than manually managing credit burn.
Avoid it when:
- You need fully transparent, per-request marginal cost.
GitHub Copilot
Use it when:
- You want the simplest “always on” autocomplete + quick chat in almost any editor.
- You want predictable cost and minimal workflow change.
Avoid it when:
- You want an agent that runs commands, iterates, and completes multi-step tasks end-to-end.
Claude Code
Use it when:
- You want a strong “repo-scale” agent for refactors, debugging, or systematic code review.
- You’re comfortable with CLI/agent workflows.
Avoid it when:
- You want a stable, predictable monthly cost for heavy continuous use.
OpenAI Codex
Use it when:
- You want a task-based agent that runs tests/linters/type-checkers as part of completion.
- You already live in the ChatGPT ecosystem and want delegated coding tasks.
Avoid it when:
- You want a clear “600 tasks/month costs exactly $X” pricing story.
Google Antigravity
Use it when:
- You want to try a genuinely different workflow: multiple agents in parallel, supervised via a Manager surface.
- You like a verifiable trail (“Artifacts”) showing plans, steps, and results.
Avoid it when:
- You need long-term pricing certainty and a mature, stable product.
What “multi-agent orchestration” means in practice:
- You assign separate agents to feature work, tests, and docs concurrently and review their artifacts/logs, instead of running one agent serially.
Recommendations (concrete heuristics)
If you want one simple default:
- Copilot Pro for most developers who want “help everywhere” at low cost.
If you want an agentic IDE and model choice:
- Windsurf Pro if you can keep your average multiplier ≤ 2 credits/request (roughly: “thinking mode” on ≤ 25% of prompts).
- If you expect to use premium “thinking” modes most of the time (average ~4 credits/request), budget ~$90/month at moderate use—or consider Cursor Pro+/Ultra so you’re not constantly watching credit burn.
If you care about “run tools + iterate” agents:
- Prefer Codex or Claude Code for bigger tasks where the agent needs to execute commands, run tests, and converge on a working state.
If you want to experiment now:
- Try Antigravity while it’s free, specifically to test whether parallel agents + artifact trails beat your current “one agent at a time” workflow.
Sources
- Windsurf pricing + add-on credits: https://windsurf.com/pricing
- Cursor pricing: https://cursor.com/pricing
- Cursor plan details / included usage (see pricing/usage sections): https://cursor.com/features
- GitHub Copilot pricing + premium request details: https://github.com/features/copilot/plans
- Anthropic pricing (includes Claude API pricing section): https://www.anthropic.com/pricing
- OpenAI Codex announcement: https://openai.com/index/introducing-codex/
- ChatGPT plans (shows Codex on plan pages): https://chatgpt.com/pricing
- OpenAI API pricing (Codex-related models): https://openai.com/api/pricing/
- Google DeepMind Gemini page (announcement hub; look for Antigravity references): https://deepmind.google/technologies/gemini/
- Gemini API pricing: https://ai.google.dev/pricing