OpenLuxClaude Code vs Codex vs Cursor: coding-agent cost comparison
The cheapest coding agent is the one with the lowest cost per accepted task for your team, not the lowest subscription or model rate. Compare Claude Code, Codex CLI, Cursor, Aider and Cline by billing surface, context strategy, retry behaviour and how much engineering control you need.
Reviewed by OpenLux Engineering Team · Last verified
Coding agent cost models at a glance
Cost structure matters more than a single list price. Verify current product terms before purchase.
| Tool | Billing surface | Cost driver | Best-fit pattern |
|---|---|---|---|
| Claude Code | Client workflow plus model API usage | Repository context, output and retries | Teams that value Claude-oriented coding workflows and can route through an API gateway |
| Codex CLI | CLI workflow plus model API usage | Task context, tool loops and selected model | Terminal-first teams that want a custom compatible provider |
| Cursor | Editor plan plus any routed custom endpoint usage | Editor features and only the requests sent to the endpoint | Developers who need editor-native coding and chat |
| Aider | Open-source client plus model API usage | Model rate, repository map and edit loop | Terminal users who want direct control over prompts and model choice |
| Cline | VS Code extension plus model API usage | Agent context, tool calls and model selection | VS Code teams that want agentic edits and provider choice |
Estimated monthly API cost under one workload
The calculator below uses editable assumptions. This table is a decision aid, not a claim that each tool generates identical tokens.
| Model | Strength for coding | Rate context |
|---|---|---|
| claude-sonnet-4-5-20250929 | Balanced coding and tool use | Use current catalogue rate |
| gpt-5.6-sol | Value-tier OpenAI coding path | Use current catalogue rate |
| gemini-3.8-flash | High-throughput edits and document context | Use current catalogue rate |
| deepseek-v4 | Cost-conscious reasoning and Chinese workloads | Use current catalogue rate |
Which coding agent is cheapest?
There is no universal cheapest option. Tool subscriptions can reduce variable usage, while custom endpoints add metered cost only for routed requests. Repository size, context strategy and model choice usually explain more of the bill than the client label.
Build three scenarios: a small edit, a multi-file change and a difficult debugging task. Compare accepted-task cost and human review for each.
How should one bill a coding-agent team?
Create a monthly ledger with three columns: fixed client subscriptions, metered model usage and indirect review/rework. Keep endpoint keys tagged by team and project so the metered column can be reconciled.
The fixed subscription alone is incomplete if the tool sends model traffic to a billable API endpoint. The API bill alone is incomplete if the editor or CLI still has its own plan.
How can a team compare models fairly?
Use the same repository tasks, acceptance criteria and retry policy for every model. Capture input tokens, output tokens, accepted tasks and human review, then calculate cost per accepted task.
A model with a lower token rate may lose if it needs more attempts or produces patches that require more review.
When is one central API gateway the better fit?
A central gateway is useful when multiple coding clients should share model access, request logs and one bill. It also simplifies comparison because model rate changes are visible in one console.
The trade-off is integration maintenance. Each client may support a different subset of custom endpoint features, so test protocol behavior and tool calls separately.
Which option fits?
Prioritize subscription simplicity when
- One client covers the team's workflow.
- Custom endpoint support is incomplete or difficult to govern.
- The team does not need cross-tool usage reporting.
Prioritize central metering when
- Multiple coding clients need the same models.
- Finance wants one usage ledger by key or project.
- The team can test compatibility per client.
Estimate your coding-agent API cost
Adjust the workload to match one developer, then scale by team size. The calculation uses the current OpenLux catalogue rate and a blended token assumption.
Assumptions: one blended per-million-token rate, all input and output tokens counted once, and failed attempts equal to the retry percentage. Your console invoice is authoritative. Compare OpenLux plans.
Same assumptions across text models
These rows apply the same token, session and retry assumptions to each published model rate.
| Model | Monthly per developer | Monthly team cost |
|---|---|---|
| gpt-6-astra | $2.42 | $12.12 |
| gpt-5.6-sol | $1.21 | $6.06 |
| gemini-3.8-flash | $0.3632 | $1.82 |
| gemini-3-flash-preview | $0.2426 | $1.21 |
| claude-sonnet-4-5-20250929 | $1.74 | $8.72 |
| claude-opus-5 | $2.91 | $14.54 |
| claude-fable-5-1 | $11.63 | $58.17 |
| gemini-3.1-pro-preview | $0.9696 | $4.85 |
| deepseek-v4 | $0.404 | $2.02 |
| qwen3-max | $0.5168 | $2.58 |
Related models and live rates
| Model | Vendor | Price | Vs. official |
|---|---|---|---|
| gpt-5.6-sol | OpenAI | $0.1838 / 1M tokens | -96% |
| claude-sonnet-4-5-20250929 | Anthropic | $0.2647 / 1M tokens | -91% |
| gemini-3.8-flash | $0.0551 / 1M tokens | -92% | |
| deepseek-v4 | DeepSeek | $0.0613 / 1M tokens | -90% |
Key takeaways
- Compare coding agents on total monthly cost and accepted-task quality.
- Client subscription and API usage are separate costs.
- One central gateway helps when several tools share models and reporting.
Frequently asked questions
Which is cheaper: Claude Code, Codex CLI or Cursor?
It depends on plan, routed requests, context and model. Compare a specific team workflow rather than the public starting price.
Should I include human review in coding-agent cost?
Yes. If a cheaper model increases review or rework time, that labour is part of delivered task cost.
Can all these tools use OpenLux?
OpenLux publishes setup guides for several clients, but feature support varies. Validate the current integration and request shape before production use.
How often should a team review coding-agent spend?
Review metered usage weekly, subscriptions monthly and model strategy quarterly or after a major release.
Sources and methodology
Competitor claims were checked against the linked public pages on the verification date. Pricing and product terms can change; confirm them before purchase.
- Claude Code documentationOfficial product documentation.
- OpenAI Codex CLI documentationOfficial CLI documentation.
- Cursor documentationOfficial model and API configuration documentation.
- Aider documentationOfficial usage and model configuration documentation.
- Cline documentationOfficial provider and workflow documentation.
- OpenLux model catalogue and current ratesRates were read from the live catalogue on 2026-10-31.
Related comparisons and guides
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Codex CLI cost
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Cursor API cost
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Prompt caching guide
Compare cache savings across coding-agent models.
AI code review guide
Turn diffs into bounded pull-request findings.
Put every coding client on one measurable endpoint
Test a representative coding task, compare accepted-task cost and scale only after the integration is verified.