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.
Amazon Nova Micro is a text-only model optimized for cost and speed. With a context window of 128K tokens, it excels at tasks like text summarization, translation, interactive chat, and basic coding. Released as part of the Amazon Nova foundation models, it supports fine-tuning and distillation for customization on proprietary data.
| o4-mini | Nova Micro | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
| ||
Modalities
| text images | text |
API Providers
| OpenAI API | Amazon Bedrock |
Knowledge Cut-off Date
| - | Purposefully not disclosed |
Open Source
| No | No |
Pricing Input
| $1.10 per million tokens | $0.04 per million tokens |
Pricing Output
| $4.40 per million tokens | $0.14 per million tokens |
MMLU
| fort | 77.6% CoT Source |
MMLU-Pro
| - | - |
MMMU
| 81.6% Source | - |
HellaSwag
| - | - |
HumanEval
| 14.28% Source | 81.1% pass@1 Source |
MATH
| - | 69.3% CoT Source |
GPQA
| 81.4% Source | 40% Main Source |
IFEval
| - | 87.2% 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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