ModelCards
← All benchmarks

Language forced

We haven't written a description for this benchmark yet; see the card notes below for how each maker ran it.

Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
  1. 1MAI-Transcribe-2 · Microsoft
    5.2%

“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.

How each maker reported it

  • MAI-Transcribe-2 p.2 (FLEURS chart), p.7 (Artificial Analysis chart)

    Microsoft's own comparison on the FLEURS test split, average WER over 60 languages, language forced or inferred. Footnotes: Gemini 3.5 Transcribe uses Gemini 3.1 Pro for Urdu; Gemini 3.6 Flash uses Gemini 3.1 Pro for Bulgarian (and Swahili inferred). Artificial Analysis WER Index (AgentTalk 50%, VoxPopuli 25%, Earnings-22 25%): MAI-Transcribe-2 2.0%, ranked #2 behind Fun-Realtime-ASR. Lower is better.

Only each model's own maker's number is shown; scores a maker reports for rival models are left out.