Amazon Nova 2: Multimodal Reasoning and Generation Models (Technical Report and Model Card) 2 Dec 2025
- MMLU-Pro acc 81.6
- GPQA Diamond acc 81.4
- AIME 2025 acc 92.3
- IF-Bench prompt loose acc 80.2
- MultiChallenge acc 77.7
- LongCodeBench 1M match 84
- τ2-bench Telecom only (as benchmarked by Artificial Analysis) 92.7
- Mean of τ2-bench Retail-Verified 77.7 / Airline-Verified 65.2 (avg@3) 71.5
- BFCL v4 Overall FC 61.6
- MMMU Pro accuracy 63.5
- OCRBench-v2 avg accuracy 64.5
- RealKIE-FCC Verified ALNS 67
- QVHighlights R1@0.5 76.7
- ScreenSpot point accuracy 88.1
- Common Voice WER, EFIGS average 5.5
- SWE-Bench Verified 70.0 with inference-time scaling and internal agentic scaffolding (61.5 without) 70
- Terminal-Bench 1.0 accuracy 41.3
- LiveCodeBench Code Generation (v5, 2024-07-01 to 2025-01-01 subset) 74.6