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, text, video
Capability Radar
25
general
23
coding
23
reasoning
30
science
70
agents
90
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 426 | 20.0 | AA |
| General Ranking | 446 | 29.0 | AA |
| Science | 447 | 29.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
MM-Mind2Web
63.7%SR
Biology
GPQANYU + Cohere + Anthropic (2023)
46.9%SR
Code
HumanEvalOpenAI (2021)
89.0%SR
Economics
FinQA
77.2%SR
CRAG
50.3%SR
Finance
MMLU
85.9%SR
Frontend Development
VisualWebBench
79.7%SR
General
ARC-C
94.8%SR
IFEvalGoogle Research (2023)
92.1%SR
BFCL
68.4%SR
MMMU
61.7%SR
Grounding
GroundUI-1K
81.4%SR
Image To Text
DocVQADocVQA (2020)
93.5%SR
TextVQA
81.5%SR
Language
Translation en→Set1 COMET22
89.1%SR
Translation Set1→en COMET22
89.0%SR
BBH
86.9%SR
VATEX
77.8%SR
Translation Set1→en spBleu
44.4%SR
Translation en→Set1 spBleu
43.4%SR
SQuALITY
19.8%SR
Long Context
EgoSchema
72.1%SR
LVBench
41.6%SR
Math
GSM8k
94.8%SR
DROP
85.4%SR
MATH
76.6%SR
Multimodal
ChartQAMasry et al. (2022)
89.2%SR
AA Evaluation Indices
(Artificial Analysis)Intelligence Index(Artificial Analysis)7.5
Math Index(Artificial Analysis)7.0
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.5
Ifbench(Google Research (2023))0.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.2
Lcr(Artificial Analysis)0.2
Scicode(UIUC + Argonne National Lab (2024))0.2
Tau2(Sierra + U Toronto + Vector Institute (2025))0.1
Aime(MAA (Mathematical Association of America))0.1
Aime 25(MAA (Mathematical Association of America))0.1
Terminalbench Hard(Stanford × Laude Institute (2026))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
LLM Stats Category Scores
(LLM Stats (zeroeval))Legal90
Structured Output90
Image To Text90
Instruction Following90
Code90
Math80
Reasoning80
Multimodal70
Language70
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
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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