Amazon

Nova Pro

Multimodal
Zero-eval
#1Translation en→Set1 COMET22
#1Translation Set1→en COMET22
#1GroundUI-1K
+11 more

by Amazon

About

Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Amazon's latest advancement in AI technology.

Pricing Range
Input (per 1M)$0.80 -$0.80
Output (per 1M)$3.20 -$3.20
Providers1
Timeline
AnnouncedNov 20, 2024
ReleasedNov 20, 2024
Specifications
Capabilities
Multimodal
License & Family
License
Proprietary
Benchmark Performance Overview
Performance metrics and category breakdown

Overall Performance

27 benchmarks
Average Score
73.2%
Best Score
94.8%
High Performers (80%+)
13

Performance Metrics

Max Context Window
600.0K
Avg Throughput
100.0 tok/s
Avg Latency
1ms

Top Categories

reasoning
94.8%
code
90.5%
math
85.7%
vision
79.1%
general
67.4%
Benchmark Performance
Top benchmark scores with normalized values (0-100%)
Ranking Across Benchmarks
Position relative to other models on each benchmark

ARC-C

Rank #3 of 31
#1Claude 3 Opus
96.4%
#2Llama 3.1 405B Instruct
96.9%
#3Nova Pro
94.8%
#4Llama 3.1 70B Instruct
94.8%
#5Claude 3 Sonnet
93.2%
#6Jamba 1.5 Large
93.0%

GSM8k

Rank #12 of 46
#9Claude 3 Opus
95.0%
#10DeepSeek-V2.5
95.1%
#11Qwen2.5 72B Instruct
95.8%
#12Nova Pro
94.8%
#13Qwen2.5 14B Instruct
94.8%
#14Nova Lite
94.5%
#15Gemma 3 12B
94.4%

DocVQA

Rank #10 of 26
#7Grok-2
93.6%
#8Llama 4 Scout
94.4%
#9Llama 4 Maverick
94.4%
#10Nova Pro
93.5%
#11DeepSeek VL2
93.3%
#12Pixtral Large
93.3%
#13Grok-2 mini
93.2%

IFEval

Rank #3 of 37
#1Claude 3.7 Sonnet
93.2%
#2o3-mini
93.9%
#3Nova Pro
92.1%
#4Llama 3.3 70B Instruct
92.1%
#5Gemma 3 27B
90.4%
#6Gemma 3 4B
90.2%

ChartQA

Rank #4 of 24
#1Qwen2.5 VL 72B Instruct
89.5%
#2Llama 4 Maverick
90.0%
#3Claude 3.5 Sonnet
90.8%
#4Nova Pro
89.2%
#5Llama 4 Scout
88.8%
#6Qwen2-VL-72B-Instruct
88.3%
#7Pixtral Large
88.1%
All Benchmark Results for Nova Pro
Complete list of benchmark scores with detailed information
ARC-C
ARC-C benchmark
reasoning
text
0.95
94.8%
Self-reported
GSM8k
GSM8k benchmark
math
text
0.95
94.8%
Self-reported
DocVQA
DocVQA benchmark
vision
multimodal
0.94
93.5%
Self-reported
IFEval
IFEval benchmark
code
text
0.92
92.1%
Self-reported
ChartQA
ChartQA benchmark
general
multimodal
0.89
89.2%
Self-reported
Translation en→Set1 COMET22
Translation en→Set1 COMET22 benchmark
general
text
0.89
89.1%
Self-reported
HumanEval
HumanEval benchmark
code
text
0.89
89.0%
Self-reported
Translation Set1→en COMET22
Translation Set1→en COMET22 benchmark
general
text
0.89
89.0%
Self-reported
BBH
BBH benchmark
general
text
0.87
86.9%
Self-reported
MMLU
MMLU benchmark
general
text
0.86
85.9%
Self-reported
Showing 1 to 10 of 27 benchmarks