Nova Pro
AmazonAmazonProprietary
Description
Amazon Nova Pro is a highly-capable multimodal model with state-of-the-art performance across text, image, and video understanding. It excels at core capabilities like language understanding, mathematical reasoning, and multimodal tasks while offering industry-leading speed and cost efficiency.
Release Date
2024-12-03
Parameters
—
Context Length
300K
Modalities
image, pdf, text, video
Capability Radar
25
general
23
coding
23
reasoning
36
science
70
agents
90
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 518 | 19.0 | AA |
| General Ranking | 499 | 28.0 | AA |
| Multimodal Ranking | 128 | 35.0 | LS |
| Science | 525 | 25.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
92.1%SR
Finance
FinQA
77.2%SR
General
MMLU
85.9%SR
BFCL
68.4%SR
Language
Translation en→Set1 COMET22
89.1%SR
Translation Set1→en COMET22
89.0%SR
Translation Set1→en spBleu
44.4%SR
Translation en→Set1 spBleu
43.4%SR
Math
GSM8k
94.8%SR
MATH
76.6%SR
Multimodal
GroundUI-1K
81.4%SR
VATEX
77.8%SR
MM-Mind2Web
63.7%SR
MMMU
61.7%SR
Reasoning
ARC-C
94.8%SR
ChartQAMasry et al. (2022)
89.2%SR
HumanEvalOpenAI (2021)
89.0%SR
BBH
86.9%SR
DROP
85.4%SR
CRAG
50.3%SR
GPQANYU + Cohere + Anthropic (2023)
46.9%SR
Summarization
SQuALITY
19.8%SR
Vision
DocVQADocVQA (2020)
93.5%SR
TextVQA
81.5%SR
VisualWebBench
79.7%SR
EgoSchema
72.1%SR
LVBench
41.6%SR
AA Evaluation Indices
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))78.6
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))69.1
Gpqa(NYU + Cohere + Anthropic (2023))49.9
Ifbench(Google Research (2023))38.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))23.3
Lcr(Artificial Analysis)21.0
Tau2(Sierra + U Toronto + Vector Institute (2025))14.0
Aime(MAA (Mathematical Association of America))10.7
Aime 25(MAA (Mathematical Association of America))7.0
Intelligence Index(Artificial Analysis)7.0
Math Index(Artificial Analysis)7.0
Terminalbench Hard(Stanford × Laude Institute (2026))6.1
Hle(Center for AI Safety + Scale AI (2025))3.2
LLM Stats Category Scores
(LLM Stats (zeroeval))Chat90
Image To Text90
Instruction Following90
Legal90
Structured Output90
Code90
Math80
Reasoning80
Language70
Multimodal70
Finance70
General70
Healthcare70
Tool Calling70
Vision70
Frontend Development60
Agents60
Economics60
Physics50
Search50
Biology50
Chemistry50
Long Context40
Summarization20
Pricing
Input Price$0.8 / 1M tokens
Output Price$3.2 / 1M tokens
Blended Price (3:1)$1.4 / 1M tokens
Cache Read Price$0.2 / 1M tokens
Cache Write Price$0.8 / 1M tokens
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
Provider Price Ranking
2 providers
Cheapest: AmazonMost Expensive: Amazon Bedrock
ProviderInputOutput
1AmazonPRIMARY
$0.8
$3.2
2Amazon Bedrock
$0.8
$3.2
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