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Multilingual: AI benchmarks

A label other catalogs put on entries, not one of the domains on our map. On the map, each entry here sits in the domain its own site or paper leads with.

Work in languages other than English, measuring whether a model's knowledge and skills carry across languages.

AI benchmarks
51
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Snapshot 2026-11-05. How categories are built · Where the data comes from

In short

What are the main multilingual benchmarks?
MGSM, INCLUDE, MILU, MultiLexNorm++, MMLU-ProX and AfroBench-Lite, among 44 confirmed below.

Only benchmarks use the Multilingual tag: the RL environment directories file their vendors under other categories. Browse all RL environments.

AI benchmarks 51

  1. MGSMShi et al
  2. INCLUDECohere, Swiss Ai, EPFL, ETH Zurich
  3. MILUAI4Bharat
  4. MultiLexNorm++
  5. MMLU-ProX
  6. AfroBench-LiteMcGill NLP
  7. IFMTBenchTencent Hunyuan
  8. INCLUDE-base-44 European Languages
  9. P3B3
  10. Script Sensitivity
  11. NOVA-63PKU & Alibaba Group
  12. PolyMath
  13. MAXIFE
  14. AfroBenchMcGill NLP
  15. SemEval-2026 Task 7Cardiff University, KAIST
  16. BabelJudge
  17. BLUEX v2
  18. Can Large Language Models Understand
  19. ChiEngMixBench
  20. G-IdiomAlign
  21. MULTITEXTEDIT
  22. Not Truly MultilingualRediMinds Inc, IAIRO, Indian AI Research Organization, University of Texas at Austin
  23. OLA: Output Language Alignment in Code-Switched LLM Interactions
  24. PersLitEval
  25. One Instruction Does Not Fit All
  26. AA Global-MMLU-LiteArtificial Analysis
  27. XTREMEGoogle Research
  28. VWT2k-lite
  29. NanoBEIR Multilingual
  30. MKQA-11
  31. WMT26
  32. AmharicStoryQA
  33. Disentangling Language Roles in Multilingual LLM Task Execution
  34. Evaluating Cross-lingual Knowledge Consistency in Code-Mixed vis-a-vis Indian Languages using IndicKLAR
  35. MASSIVEAmazon
  36. PAWS-XGoogle Research
  37. Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses
  38. XNLIFacebook AI Research, New York University
  39. XTREME-R
  40. Can Large Language Models Handle Discourse Particles? A Case Study of Colloquial Malay
  41. LatamBoard
  42. LexNeo-Bench
  43. LLMs Infer Cultural Context but Fail to Apply It When Responding
  44. Open Multilingual LLM Evaluation LeaderboardUniversity of Oregon NLP group, Adobe Research funding
7 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
  1. Global MMLU
  2. GMMLU
  3. Multilingual Factual Questions Net Score
  4. LanguageBench
  5. Global MMLU Lite
  6. Long-context translation
  7. FLORES European Languages Leaderboard

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