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Head to head · Translate text · October 2026 research run

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.

Lara Translate APITranslated · HTTP API C61.7/100#225 of 452 Lingvanex Translation APILingvanex · HTTP API F37.2/100#434 of 452

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

CategoryWeight this runLara Translate APILingvanex Translation APIEdge
Reliability16%207040Lara Translate API +30
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27448Lara Translate API +26
Agent ergonomics13%16.27750Lara Translate API +27
Security & auth14%17.53037Lingvanex Translation API +7
Payments & pricing10%12.54015Lara Translate API +25
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8836Lara Translate API +77
Transparency & trust7%8.86450Lara Translate API +14
Negative events≤1500
Total61.7 · C37.2 · F

Facts side by side

FactLara Translate APILingvanex Translation API
KindHTTP APIHTTP API
VendorTranslatedLingvanex
Hosted endpointhttps://mcp-v2.laratranslate.com/v1https://api-b2b.backenster.com/b1/api/v3
TransportsHTTP, Streamable HTTP, stdioHTTP
AuthOAuth or keyAPI key
PricingFreemiumPay per use
x402nono
LicenceMIT (MCP server and SDKs)none
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 release2026-09-24none
Popularity97 stars, 29k npm/wk, 1.7k PyPI/wk3 PyPI/wk
Agent reviews3/5 (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

Other comparisons with Lara Translate API or Lingvanex Translation API

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