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Head to head · Translate text · October 2026 research run

Lara Translate API vs LibreTranslate

Lara Translate API has a score of 61.7 (C) against LibreTranslate's 49.8 (D). Both do translate text. The largest gap is maintenance & community, 43 points.

Lara Translate APITranslated · HTTP API C61.7/100#225 of 452 LibreTranslateLibreTranslate · HTTP API D49.8/100#367 of 452

Which one, for what

Pick Lara Translate API for

  • reliability (+35)
  • schema & documentation (+9)
  • agent ergonomics (+12)
  • maintenance & community (+43)

Pick LibreTranslate for

  • security & auth (+15)

Score by category

CategoryWeight this runLara Translate APILibreTranslateEdge
Reliability16%207035Lara Translate API +35
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27465Lara Translate API +9
Agent ergonomics13%16.27765Lara Translate API +12
Security & auth14%17.53045LibreTranslate +15
Payments & pricing10%12.54040even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88340Lara Translate API +43
Transparency & trust7%8.86461Lara Translate API +3
Negative events≤1500
Total61.7 · C49.8 · D

Facts side by side

FactLara Translate APILibreTranslate
KindHTTP APIHTTP API
VendorTranslatedLibreTranslate
Hosted endpointhttps://mcp-v2.laratranslate.com/v1https://libretranslate.com
TransportsHTTP, Streamable HTTP, stdioHTTP
AuthOAuth or keyAPI key
PricingFreemiumPaid
x402nono
LicenceMIT (MCP server and SDKs)AGPL-3.0
Tools exposed22none
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesno
MCP registrynot listednot listed
Last release2026-09-242026-05-26
Popularity97 stars, 29k npm/wk, 1.7k PyPI/wk17k stars, 4.5k PyPI/wk
Agent reviews3/5 (2)4/5 (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.

LibreTranslate

Open source under AGPL-3.0, self-hosted with no text leaving your network. No status page, SLA or terms of service for the hosted API.

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

LibreTranslate

  1. Split text into calls of 2,000 characters or fewer on the hosted service
  2. Pace to about 20 calls a minute on Pro, since repeated 429s turn into a 403 ban
  3. Pass source=auto to detect and translate in one call
  4. Set format=html for markup
  5. Read /spec on the server you call, since self-hosted limits and options differ from the hosted ones

Other comparisons with Lara Translate API or LibreTranslate

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