 LiquidAI/LFM2-8B-A1B |  o4 Mini Deep Research | |
|---|---|---|
Model Provider The organization behind this AI's development | Liquid | OpenAI |
Input Context Window Maximum input tokens this model can process at once | 32.8K tokens | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 100K tokens |
Release Date When this model first became publicly available | October 20, 2025 1 month ago October 20th, 2025 | October 10, 2025 1 month ago October 10th, 2025 |
LiquidAI/LFM2-8B-A1B | o4 Mini Deep Research | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📁File🖼️Image📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | GPT |
Key Features Advanced capabilities | Function CallingStructured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
| LiquidAI/LFM2-8B-A1B | o4 Mini Deep Research | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.05 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million outut tokens | $0.10 per million tokens | $8.00 per million tokens |
| LiquidAI/LFM2-8B-A1B | o4 Mini Deep Research | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
LiquidAI/LFM2-8B-A1B by Liquid is a text-based AI model. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.05/M input and $0.10/M output tokens. Released October 20th, 2025.o4 Mini Deep Research by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 200K token context window. Reasonably priced at $2.00/M input and $8.00/M output tokens. Includes built-in content moderation for safer outputs. Released October 10th, 2025.Compare your models with top performers across different categories
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