M2-BERT-Retrieval-2K overview
M2-BERT-Retrieval-2K by Together
Enhance your search capabilities with M2-BERT-Retrieval-2K API, an AI model optimized for rapid and accurate information retrieval in smaller datasets.
M2-BERT-Retrieval-2K specs
- Developer
- Together
- Input
- Text
- Output
- Text
M2-BERT-Retrieval-2K Description
M2-BERT-Retrieval-2K is a specialized AI model designed for efficient, high-speed information retrieval tasks. Featuring a compact 2,000-parameter architecture, it is optimized for fast, accurate data access in focused or smaller datasets, enabling responsive and precise search experiences.
Technical Specification
- Optimized for rapid retrieval and real-time search across compact knowledge bases or customer support datasets.
Performance Benchmarks
M2-BERT-Retrieval-2K excels in speed and accuracy for retrieval tasks in constrained environments. While it does not match larger models such as M2-BERT-Retrieval-8K or 32K in raw capacity, it delivers superior retrieval efficiency for scenarios demanding low latency and targeted data access.
Key Capabilities
- Fast Information Retrieval: Delivers relevant results with minimal delay, ideal for time-sensitive applications.
- Compact and Lightweight: Small parameter footprint enables deployment on resource-constrained devices and environments.
- Accurate Search: Maintains high precision in retrieving relevant information from smaller or specific datasets.
Comparison with Other Models
- Vs. M2-BERT-Retrieval-8K and 32K: Offers lower capacity but higher responsiveness in smaller-scale retrieval tasks.
- Vs. Larger General-Purpose Models: Prioritizes retrieval speed and efficiency over extensive contextual understanding or large dataset processing.
Tips for Maximizing Efficiency
- Structure your datasets to optimize indexing and retrieval accuracy.
- Keep indexed information up to date to ensure relevant and timely search results.
- Deploy in applications where retrieval speed directly impacts user satisfaction and operational throughput.
Use cases
- Customer Support Systems requiring rapid resolution through quick access to relevant knowledge.
- Small-Scale Knowledge Bases demanding efficient search within limited datasets.
- On-Demand Data Retrieval Services focusing on speed and accuracy in delivering information.
Capabilities
- Function calling
- Streaming
- Structured outputs
M2-BERT-Retrieval-2K API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.011 | 1M tokens |
M2-BERT-Retrieval-2K is deprecated on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
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M2-BERT-Retrieval-2K FAQ
How much does M2-BERT-Retrieval-2K cost?
M2-BERT-Retrieval-2K is priced at input $0.011 / 1M.
Does M2-BERT-Retrieval-2K support streaming?
Yes, M2-BERT-Retrieval-2K can stream responses as they are generated.
Does M2-BERT-Retrieval-2K support tool calling and structured outputs?
Yes, M2-BERT-Retrieval-2K supports both function calling and structured outputs.
Who created M2-BERT-Retrieval-2K?
M2-BERT-Retrieval-2K was built by Together.
Which API endpoint version does M2-BERT-Retrieval-2K use?
M2-BERT-Retrieval-2K is accessed via the v1 endpoint from Together.