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.
OpenAI o4-mini is the newest lightweight model in the o-series, engineered for efficient and capable reasoning across text and visual tasks. Optimized for speed and performance, it excels in code generation and image-based understanding, while maintaining a balance between latency and reasoning depth. The model supports a 200,000-token context window with up to 100,000 output tokens, making it suitable for extended, high-volume interactions. It handles both text and image inputs, producing textual outputs with advanced reasoning capabilities. With its compact architecture and versatile performance, o4-mini is ideal for a wide array of real-world applications demanding fast, cost-effective intelligence.
| Nova Pro | o4-mini | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
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Modalities
| text images video | text images |
API Providers
| Amazon Bedrock | OpenAI API |
Knowledge Cut-off Date
| Purposefully not disclosed | - |
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 | fort |
MMLU-Pro
| Not available | - |
MMMU
| Not available | 81.6% Source |
HellaSwag
| Not available | - |
HumanEval
| 89% pass@1 Source | 14.28% Source |
MATH
| 76.6% CoT Source | - |
GPQA
| 46.9% Main Source | 81.4% Source |
IFEval
| 92.1% Source | - |
SimpleQA
| - | - |
AIME 2024 | - | 93.4% Source |
AIME 2025 | - | 92.7% Source |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - |
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