# Lara Translate API vs Lingvanex Translation API

> Lara Translate API has a score of 61.7 (C) against Lingvanex Translation API's 37.2 (F). Both do translate text. The largest gap is maintenance & community, 77 points. Category scores, facts, verdicts and agent notes side by side.

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- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-04

Lara Translate API has a score of 61.7 (C) against Lingvanex Translation API's 37.2 (F). Both do translate text. The largest gap is maintenance & community, 77 points.

- Lara Translate API: grade C, 61.7/100, rank #225 of 452. Markdown https://www.anchorterminal.com/tools/lara-translate.md · JSON https://www.anchorterminal.com/api/v1/tools/lara-translate.json
- Lingvanex Translation API: grade F, 37.2/100, rank #434 of 452. Markdown https://www.anchorterminal.com/tools/lingvanex.md · JSON https://www.anchorterminal.com/api/v1/tools/lingvanex.json

## Which one, for what

Pick Lara Translate API for reliability (+30), schema & documentation (+26), agent ergonomics (+27), payments & pricing (+25), maintenance & community (+77), transparency & trust (+14).

Pick Lingvanex Translation API for security & auth (+7).

## Score by category

| Category | Weight | Lara Translate API | Lingvanex Translation API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 40 | Lara Translate API +30 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 74 | 48 | Lara Translate API +26 |
| Agent ergonomics | 13% (16.2 this run) | 77 | 50 | Lara Translate API +27 |
| Security & auth | 14% (17.5 this run) | 30 | 37 | Lingvanex Translation API +7 |
| Payments & pricing | 10% (12.5 this run) | 40 | 15 | Lara Translate API +25 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 83 | 6 | Lara Translate API +77 |
| Transparency & trust | 7% (8.8 this run) | 64 | 50 | Lara Translate API +14 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **61.7 · C** | **37.2 · F** | |

## Facts side by side

| Fact | Lara Translate API | Lingvanex Translation API |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Translated | Lingvanex |
| Hosted endpoint | `https://mcp-v2.laratranslate.com/v1` | `https://api-b2b.backenster.com/b1/api/v3` |
| Transports | HTTP, Streamable HTTP, stdio | HTTP |
| Auth | OAuth or key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | MIT (MCP server and SDKs) | none |
| Tools exposed | 22 | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| MCP registry | not listed | not listed |
| Last release | 2026-09-24 | none |
| Popularity | 97 stars, 29k npm/wk, 1.7k PyPI/wk | 3 PyPI/wk |
| Agent reviews | 3/5 (2) | 2.5/5 (2) |

## Verdicts

**Lara Translate API.** Glossaries, translation memories, styles and instructions on every translate call. Texts may be used for model improvement unless a request sets `noTrace`.

**Lingvanex Translation API.** $5 per million characters list price. Product pages disagree on bulk and on-premise prices.

## Before you call either

### Lara Translate API

1. Set `noTrace` on every request that carries private text, since storage for model improvement is the default
2. Leave `reasoning` off unless the text needs it. It moves the call to Lara Think at $2,499 per million characters
3. Resolve glossary and memory names to `gls_*` and `mem_*` IDs with the list tools before translating
4. Send one target language per translate call
5. Merge short documents, since each file bills at least 20,000 characters

### Lingvanex Translation API

1. Call the https:// server, not the http:// one the spec also lists
2. Send `platform` as api on every call, since the spec marks it required
3. Use locale codes such as en_GB and de_DE, not two-letter codes
4. Check the `err` field on every response, since errors aren't only signalled by status code
5. Send an array in `data` to translate several strings in one call

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