# LucenaCoder completes multi-file coding task using half the tokens of nearest competitor in Almedra benchmark

URL: https://press.bz/@lucenaone/lucenacoder-completes-multi-file-coding-task-using-half-the-tokens-of-nearest-co
Company: LucenaOne
Date: Aug 24, 2026
Tag: Research

[LucenaOne press office](https://press.bz/@lucenaone)

## Summary

In the Almedra token efficiency benchmark, LucenaCoder completed the same multi-file task using 61,506 tokens, less than half the 117,002 tokens used by the next closest tool and nearly nine times fewer than the most expensive competitor.

## Article

The benchmark ran the same multi-file coding task across seven AI coding tools using the same underlying model. The results:

- **LucenaCoder:** 61,506 tokens
- **Pi:** 117,002 tokens
- **Command Code:** 281,961 tokens
- **OpenCode:** 317,304 tokens
- **Copilot:** 395,334 tokens
- **Continue:** 415,091 tokens
- **Kilo Code:** 540,075 tokens

Same task. Same model. The difference is architecture.

LucenaCoder's token efficiency comes from how it structures requests, manages context, and eliminates redundant processing, not from using a smaller or cheaper model. The benchmark isolates architecture as the variable by holding the model constant across all tools.

For developers paying per token through API providers, the gap is direct. A task that costs $1 in LucenaCoder costs nearly $2 in the next closest tool and nearly $9 in the most expensive. At scale, across hundreds of tasks per week, the difference compounds.

Token efficiency has been a core design principle of LucenaCoder since its public beta in May 2026. The Almedra benchmark provides an independent comparison point for developers evaluating coding tools on cost per real task, not just capability.

LucenaCoder is available as a free download at lucenacoder.com. The $9/month PRO tier adds Underboss autonomous coding (beta), Remote Control (beta) for continuing work from mobile web, and MCP & Extensions for connecting external tools and services into your workflow.

### Links
- Website: https://lucenacoder.com
- Benchmark: https://lucena.one/blog/almedra-agent-benchmark-glm-5-2-update/

## Press releases

### [LucenaCoder adds native Codebase.Observer integration for deterministic codebase analysis](https://press.bz/@lucenaone/lucenacoder-adds-native-codebaseobserver-integration-for-deterministic-codebase-)
- Date: Aug 24, 2026
- Tag: Product
- Summary: LucenaCoder now includes native support for Codebase.Observer, bringing deep deterministic codebase analysis to PRO users. Powered by the Evōk Semantic Engine, the integration generates complete architectural blueprints without heuristics or LLMs.

### [LucenaCoder adds side chats for both free and pro users](https://press.bz/@lucenaone/lucenacoder-adds-side-chats-for-both-free-and-pro-users)
- Date: Aug 6, 2026
- Tag: Product
- Summary: LucenaCoder introduces side chats: independent, project-bound conversations available picture-in-picture on Mac, Windows, and Linux, letting developers run parallel coding sessions while keeping token usage scoped and low.

### [LucenaCoder adds support for any OpenAI-compatible endpoint](https://press.bz/@lucenaone/lucenacoder-adds-support-for-any-openai-compatible-endpoint)
- Date: Jun 8, 2026
- Tag: Product
- Summary: LucenaCoder now routes to any OpenAI-compatible API—self-hosted, regional, or specialty providers—while keeping token efficiency baked into the harness so you pay far less per real task.

### [LucenaOne releases token-efficiency obsessed agentic coding harness, LucenaCoder](https://press.bz/@lucenaone/lucenaone-releases-token-efficiency-obsessed-agentic-coding-harness-lucenacoder)
- Date: May 16, 2026
- Tag: Beta
- Summary: LucenaCoder enters public beta as a free, privacy-friendly coding harness that runs client-side—built for developers who still have to care what the API bill says.

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- LucenaCoder: [LucenaCoder](https://lucenacoder.com)
- GitHub: [GitHub](https://github.com/lucenaone)