OpenAI o3 is the most advanced reasoning model from OpenAI, purpose-built for handling complex, high-cognition tasks. Launched in April 2025, it delivers exceptional performance in software engineering, mathematics, and scientific problem-solving. The model introduces three levels of reasoning effort—low, medium, and high—allowing users to balance between latency and depth of reasoning based on task complexity. o3 supports essential tools for developers, including function calling, structured outputs, and system-level messaging. With built-in vision capabilities, o3 can interpret and analyze images, making it suitable for multimodal applications. It’s available through Chat Completions API, Assistants API, and Batch API for flexible integration into enterprise and research workflows.
Amazon Nova Lite is a versatile multimodal model designed to process text, image, and video inputs, producing text-based outputs. Featuring a 300K-token context window, it is well-suited for real-time interactions, document analysis, and visual question answering. As part of the Amazon Nova foundation models, it supports fine-tuning and distillation, enabling advanced customization.
| o3 | Nova Lite | |
|---|---|---|
Web Site
| - | |
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images | text images video |
API Providers
| OpenAI API | Amazon Bedrock |
Knowledge Cut-off Date
| - | Purposefully not disclosed |
Open Source
| No | No |
Pricing Input
| $10.00 per million tokens | $0.06 per million tokens |
Pricing Output
| $40.00 per million tokens | $0.24 per million tokens |
MMLU
| 82.9% Source | 80.5% CoT Source |
MMLU-Pro
| - | Not available |
MMMU
| - | Not available |
HellaSwag
| - | Not available |
HumanEval
| - | 85.4% pass@1 Source |
MATH
| - | 73.3% CoT Source |
GPQA
| 83.3% Diamond, no tools Source | 42% Main Source |
IFEval
| - | 89.7% Source |
SimpleQA
| - | - |
AIME 2024 | 91.6% Source | - |
AIME 2025 | 88.9% Source | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | |
MathArena | ||
| Avg. Score | 86% | - |
AIME 2025 A test based on problems from the American Invitational Mathematics Examination, designed to assess the mathematical skills of models. | 89% | - |
HMMT February 2025 A test based on problems from the Harvard-MIT Mathematics Tournament, February 2025, designed to assess the mathematical skills of models. | 78% | - |
BRUMO 2025 | 96% | - |
SMT 2025 A test based on problems from the Stanford Math Tournament, 2025, designed to assess the mathematical skills of models. | 88% | - |
CMIMC 2025 A test based on problems from the Canadian Mathematical Olympiad, 2025, designed to assess the mathematical skills of models. | 78% | - |
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