Amazon Nova Pro is a cutting-edge multimodal model designed to handle text, image, and video inputs with advanced processing capabilities. Featuring a 300K-token context window, it excels in document analysis, visual question answering, and complex agent-driven workflows. As part of the Amazon Nova foundation models, it supports fine-tuning and distillation, enabling deep customization for various applications.
The OpenAI o3-mini is a high-speed, cost-effective reasoning model designed for STEM applications, with strong performance in science, mathematics, and coding. Launched in January 2025, it includes essential developer features such as function calling, structured outputs, and developer messages. The model offers three reasoning effort levels—low, medium, and high—allowing users to optimize between deeper analysis and faster response times. Unlike the o3 model, it lacks vision capabilities. Initially available to select developers in API usage tiers 3-5, it can be accessed via the Chat Completions API, Assistants API, and Batch API.
| Nova Pro | o3-mini | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images video | text |
API Providers
| Amazon Bedrock | OpenAI API |
Knowledge Cut-off Date
| Purposefully not disclosed | Unknown |
Open Source
| No | No |
Pricing Input
| $0.80 per million tokens | $1.10 per million tokens |
Pricing Output
| $3.20 per million tokens | $4.40 per million tokens |
MMLU
| 85.9% CoT Source | 86.9% pass@1, high effort Source |
MMLU-Pro
| Not available | Not available |
MMMU
| Not available | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| 89% pass@1 Source | Not available |
MATH
| 76.6% CoT Source | 97.9% pass@1, high effort Source |
GPQA
| 46.9% Main Source | 79.7% 0-shot, high effort Source |
IFEval
| 92.1% Source | Not available |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - |
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