Claude Code vs Cursor: how their pricing really works (and how to cut both)

Picking between Claude Code and Cursor — or already paying for both — usually comes down to one question: which is cheaper? The honest answer is that the tool you choose matters less than you think. Here is how each one actually bills, where they genuinely differ, and the cost driver they share — plus how to cut the bill whichever you run.

Comparison · open source · self-hosted · BYOK

Two different tools, one shared cost engine

Claude Code is a terminal-based coding agent: you drive it from the command line, and it reads, edits and runs code in your repository through tools. Cursor is an AI-native IDE — a full code editor (a VS Code fork) with an agent, inline edits, tab completion and chat built directly into the interface. One lives in your terminal; the other is the place you write code. That difference is real and it shapes the workflow you prefer.

But underneath, both are agentic loops running on stateless models. To take the next step, the model has to re-read everything that came before — so each turn resends the growing conversation. That makes cost in both tools dominated by cumulative input tokens, not output. The interface differs; the spending mechanism is the same.

How each one bills (the mechanism, not the price)

Specific prices, plan tiers and request quotas change constantly, so anything quoted here would be wrong by the time you read it. Check each tool’s official pricing page for current numbers. What is stable is the shape of how each one charges:

• Claude Code is driven by a subscription and/or per-token API usage. When billed by API usage, you pay for input and output tokens directly — so a long, context-heavy session shows up as a larger token bill. On a subscription, heavy use is shaped by the plan’s usage limits rather than a per-token line item.

• Cursor combines a subscription with usage-based billing for premium model requests. The subscription covers a baseline, and heavier or higher-tier model usage is metered on top. The unit you are charged for is a request/usage allowance rather than raw tokens directly.

The takeaway is not which billing model is “cheaper” in the abstract — it is that in both, the cost grows with how much context you resend. A subscription with usage limits and a per-token bill react to the same underlying pressure: long sessions and bloated context.

Side by side, on neutral dimensions

Cells are deliberately price-free — the numbers move too fast to quote responsibly. Treat this as a map of how they differ, then check each official pricing page for the current figures.

The cost driver neither tool removes

The first turn of a session might send a few thousand input tokens. After dozens of turns — full file dumps, long test logs, git output, failed attempts that never got cleared — each request can carry many times that, and you pay for it on every subsequent turn. A single feature task can accumulate a large volume of input tokens, and input typically dominates an agentic-coding bill.

Switching from Claude Code to Cursor (or back) does not change that arithmetic. Both re-send the conversation; both get more expensive as the context grows. So the durable lever is not the tool — it is controlling cumulative input and routing across the keys you already own. That is true no matter which interface you prefer.

Cut the bill in front of either tool — with merido

Because both tools speak an OpenAI-compatible API, you can put a gateway in front of them. merido is an open-source, local-first AI gateway written in Rust that sits between your coding tool and your LLM providers — and Claude Code, Codex, Cursor, Cline and Continue are all first-class clients. You point the tool at one endpoint and keep working exactly as before:

• Tool-output compression shrinks bulky results — test logs, git output, file reads — before they enter context, removing a major source of cumulative input.
• Cost-, quota- and latency-aware routing spreads requests across every provider and account you own, with automatic failover when one is rate-limited or down.
• A live burn-rate meter and per-session budget caps show what you are spending in real time and stop it where you set the line.
• A savings ledger records measured savings against a baseline — and shows $0 when it cannot prove one.

Whichever tool you settle on, the same gateway works in front of it. If you have already chosen, the tool-specific playbooks go deeper: reduce Claude Code costs and reduce Cursor costs. And if you run both, merido gives you one place to see, cap and prove the spend across them.

Related guides

• How to reduce Claude Code costs — 8 concrete tactics.
• How to reduce Cursor AI costs — the same playbook for Cursor.
• Self-hosted LLM gateway — own your keys, data, and routing.
• AI coding cost calculator — estimate your bill.
• Why your AI coding bill explodes — the shared mechanism behind both tools' cost.
• Open-source AI gateway alternatives — the gateway landscape in 2026.

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