Amazon Nova 2: Multimodal Reasoning and Generation Models (Technical Report and Model Card) 2 Dec 2025
- MMLU-Pro acc 80.9
- GPQA Diamond acc 79.6
- AIME 2025 acc 91
- IF-Bench prompt loose acc 70.8
- MultiChallenge acc 76.6
- LongCodeBench 1M match 84
- τ2-bench Telecom only (as benchmarked by Artificial Analysis) 76
- Mean of τ2-bench Retail-Verified 76.5 / Airline-Verified 64.8 (avg@3) 70.7
- BFCL v4 Overall FC 60.3
- MCP Atlas pass rate (blind eval) 24.6
- MMMU Pro accuracy 61.8
- OCRBench-v2 avg accuracy 56.1
- RealKIE-FCC Verified ALNS 62.1
- QVHighlights R1@0.5 77.2
- ScreenSpot point accuracy 83.3
- SWE-Bench Verified 64.5 with inference-time scaling and internal agentic scaffolding (53.6 without) 64.5
- Terminal-Bench 1.0 accuracy 32.5
- LiveCodeBench Code Generation (v5, 2024-07-01 to 2025-01-01 subset) 71