Rankings / Amazon
Nova Pro
released 2024-12-03
BenchAtlas Index
as of 2026-07-14
base configuration
rank #415
11 families · 6 categories · high
Benchmark evidence
15 results
agentic coding
| τ²-Bench | 14.0 % | independent | Artificial Analysis |
coding
| LiveCodeBench v6 implementation=artificial-analysis | 23.3 % | independent | Artificial Analysis | |
| SciCode | 20.8 % | independent | Artificial Analysis |
external indices
| Intelligence Index v4.1 | 7.7 points | independent | Artificial Analysis | |
| AA Math Index | 7.0 points | independent | Artificial Analysis |
knowledge science
| GPQA Diamond implementation=artificial-analysis | 49.9 % | independent | Artificial Analysis | |
| Humanity's Last Exam contamination=Potential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. · implementation=scale | 4.4 % 3.6–5.2 | independent | Scale Labs | |
| Humanity's Last Exam implementation=artificial-analysis | 3.4 % | independent | Artificial Analysis | |
| MMLU-Pro implementation=artificial-analysis | 69.1 % | independent | Artificial Analysis |
long context instruction
| AA-LCR | 19.0 % | independent | Artificial Analysis | |
| IFBench | 38.1 % | independent | Artificial Analysis |
multimodal
| VISTA | 26.3 % 25.7–26.9 | independent | Scale Labs |
reasoning math
| AIME implementation=artificial-analysis | 10.7 % | independent | Artificial Analysis | |
| AIME year=2025 · implementation=artificial-analysis | 7.0 % | independent | Artificial Analysis | |
| MATH-500 implementation=artificial-analysis | 78.6 % | independent | Artificial Analysis |
Agent + model results
systems, not bare-model scores
| agent + model Artificial Analysis harness + Nova Pro | Terminal-Bench Hard | 6.1 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.