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.
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.
| o3-mini | Nova Micro | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text | text |
API Providers
| OpenAI API | Amazon Bedrock |
Knowledge Cut-off Date
| Unknown | 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
| 86.9% pass@1, high effort Source | 77.6% CoT Source |
MMLU-Pro
| Not available | - |
MMMU
| Not available | - |
HellaSwag
| Not available | - |
HumanEval
| Not available | 81.1% pass@1 Source |
MATH
| 97.9% pass@1, high effort Source | 69.3% CoT Source |
GPQA
| 79.7% 0-shot, high effort Source | 40% Main Source |
IFEval
| Not available | 87.2% Source |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - |
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