Amazon Nova 2: Multimodal Reasoning and Generation Models (Technical Report and Model Card) 2 Dec 2025
- MMLU-Pro acc 80.7
- AIME 2025 acc 92.1
- IF-Bench prompt loose acc 68.7
- MultiChallenge acc 75.5
- τ2-bench Telecom only (as benchmarked by Artificial Analysis) 80
- Mean of τ2-bench Retail-Verified 78.3 / Airline-Verified 68.8 73.5
- BFCL v4 Overall FC 58.3
- MMMU Pro accuracy 61.4
- OCRBench-v2 avg accuracy 58.2
- RealKIE-FCC Verified ALNS 59.8
- RefCOCOg acc@0.5 86.3
- VideoMME accuracy 77.9
- Maverix accuracy 66.6
- QVHighlights R1@0.5 76.7
- ScreenSpot point accuracy 85.4
- MLS WER (English, Spanish, French, German, Italian) 4.7
- Common Voice (v15) WER, five languages 5.7
- CoVoST 2 BLEU (Spanish, French, German, Italian to English) 40.7
- MMAU average accuracy (Speech 81.8, Sound 77.9, Music 66.4) 75.3