Mercury
Mercury is Inception's flagship text-only model with a 128K token context window, designed for complex language understanding and generation tasks.
API Pricing
| Provider | Input / 1M | Output / 1M | Updated |
|---|---|---|---|
| $0.250 | $0.750 | 4/14/2026 |
Prices updated daily. Last check: 4/14/2026
Model Details
General
- Creator
- Inception
- Family
- Mercury
- Tier
- Flagship
- Context Window
- 128K
- Modalities
- Text
Capabilities
- Tool Calling
- No
- Open Source
- No
Strengths & Limitations
- 128K token context window enables processing of lengthy documents and extended conversations
- Flagship-tier model provides advanced language understanding capabilities
- Text-focused architecture optimizes performance for language-specific tasks
- Suitable for complex document analysis and content generation workflows
- Large context capacity reduces need for document chunking in many applications
- No multimodal support - text input and output only
- Tool calling functionality not available
- Proprietary model with no open source availability
- Context window smaller than some competing flagship models
- Limited to text-based use cases compared to multimodal alternatives
Key Features
About Mercury
Common Use Cases
Mercury is well-suited for applications requiring sophisticated text processing and analysis, particularly where large context windows are valuable. Common use cases include analyzing lengthy research documents, generating comprehensive reports, processing legal or technical documentation, and maintaining context across extended conversations or multi-part queries. The model's flagship-tier capabilities make it appropriate for complex writing tasks, document summarization, and content creation workflows where nuanced language understanding is important. Organizations working with substantial text corpora or requiring detailed analysis of lengthy materials will find Mercury's 128K context window particularly beneficial for maintaining coherence across entire documents without segmentation.
Frequently Asked Questions
How much does Mercury cost per million tokens?
Mercury pricing varies by provider and may include different rates for input and output tokens. Check the pricing table above for current rates across all available providers offering Mercury access.
What is Mercury best used for?
Mercury excels at complex text processing tasks that benefit from its 128K context window, including document analysis, comprehensive report generation, lengthy content creation, and applications requiring sustained context across extended conversations or multi-part documents.
Does Mercury support image input or tool calling?
No, Mercury is a text-only model that focuses exclusively on language tasks. It does not support image input, vision capabilities, or tool calling functionality. Users requiring these features would need to consider multimodal alternatives.