Cohere
Enterprise AI: Private, Secure, Customizable.
VS
LFM2-24B-A2B
Efficient MoE LLM for edge devices, outperforming larger models locally.
Popularity
Cohere11,320
LFM2-24B-A2B2,827
Pricing
FreemiumCohere
FreemiumLFM2-24B-A...
Features
6
Cohere
vs
4
LFM2-24B-A...
Our verdict
Cohere is significantly more popular in terms of media coverage and engagement.
Cohere is more geared toward b2b users, while LFM2-24B-A2B targets B2B.
Cohere offers an API for integration into your workflows.
Detailed comparison
Criteria
Cohere
LFM2-24B-A2B
Pricing
Freemium
Freemium
Plans & pricing
Embed 4 Small: $2500/mo, Embed 4 Medium: $3250/mo, Rerank 3.5 Medium: $3250/mo, Enterprise: Custom
—
Free trial
Yes
—
Audience
b2b
B2B
Platforms
Web, Api, Cli, Private-cloud, On-premises
—
API
Yes
—
Open Source
Open Source
—
Integrations
Elasticsearch, Mongodb, Redis, Vespa, Chroma, Qdrant, Weaviate, Pinecone, Milvus, Zilliz, Opensearch, Amazonsagemaker, Amazonbedrock, Googlecloudvertexai, Azureai, Oraclecloudinfrastructure, Make, Langchain, Llamaindex, Reflex
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Categories
Data Science, Dev Tools
Data Science, Dev Tools
Popularity
Very High
Moderate
Description
Cohere builds powerful AI models and solutions for enterprises to automate processes, empower employees, and transform fragmented data into actionable insights. Their platform emphasizes privacy, security, and customizability, offering advanced language models and retrieval capabilities for building and scaling AI applications.
LFM2-24B-A2B is a sparse Mixture of Experts (MoE) large language model, designed with a hybrid architecture for efficient operation on consumer laptops and desktops, fitting within 32GB of RAM. This general-purpose instruct model targets developers in mobile, IoT, and edge computing, along with enterprises seeking to overcome scaling and memory bottlenecks of modern LLMs. Its unique A2B architecture and sparse MoE efficiency allow it to deliver state-of-the-art performance with reduced memory footprint and true edge capability.
Pricing
Cohere
Freemium
LFM2-24B-A2B
Freemium
Plans & pricing
Cohere
Embed 4 Small: $2500/mo, Embed 4 Medium: $3250/mo, Rerank 3.5 Medium: $3250/mo, Enterprise: Custom
LFM2-24B-A2B
—
Free trial
Cohere
Yes
LFM2-24B-A2B
—
Audience
Cohere
b2b
LFM2-24B-A2B
B2B
Platforms
Cohere
Web, Api, Cli, Private-cloud, On-premises
LFM2-24B-A2B
—
API
Cohere
Yes
LFM2-24B-A2B
—
Open Source
Cohere
Open Source
LFM2-24B-A2B
—
Integrations
Cohere
Elasticsearch, Mongodb, Redis, Vespa, Chroma, Qdrant, Weaviate, Pinecone, Milvus, Zilliz, Opensearch, Amazonsagemaker, Amazonbedrock, Googlecloudvertexai, Azureai, Oraclecloudinfrastructure, Make, Langchain, Llamaindex, Reflex
LFM2-24B-A2B
—
Categories
Cohere
Data Science, Dev Tools
LFM2-24B-A2B
Data Science, Dev Tools
Popularity
Cohere
Very High
LFM2-24B-A2B
Moderate
Description
Cohere
Cohere builds powerful AI models and solutions for enterprises to automate processes, empower employees, and transform fragmented data into actionable insights. Their platform emphasizes privacy, security, and customizability, offering advanced language models and retrieval capabilities for building and scaling AI applications.
LFM2-24B-A2B
LFM2-24B-A2B is a sparse Mixture of Experts (MoE) large language model, designed with a hybrid architecture for efficient operation on consumer laptops and desktops, fitting within 32GB of RAM. This general-purpose instruct model targets developers in mobile, IoT, and edge computing, along with enterprises seeking to overcome scaling and memory bottlenecks of modern LLMs. Its unique A2B architecture and sparse MoE efficiency allow it to deliver state-of-the-art performance with reduced memory footprint and true edge capability.
Features
Cohere
Compass: An intelligent search and discovery system to surface business insights
Command: A family of high-performance, scalable language models
Aya: A family of multilingual research models covering 70+ languages
Embed: A leading multimodal search and retrieval tool
Rerank: A powerful model that provides a semantic boost to search quality
Transcribe: A speech recognition model for generating highly accurate audio transcripts
LFM2-24B-A2B
Hybrid 'A2B' Architecture for speed and efficiency
Sparse MoE Efficiency with 2.3B active parameters
True Edge Capability, fits in 32GB RAM
Open-Weight and broad inference support
Key differentiators
Cohere
- Enterprise-focused AI
- Flexible deployment & data sovereignty
- Strong multilingual capabilities
- Optimized for business applications
- High-performing embedding & reranking
LFM2-24B-A2B
Other comparisons
FAQ: Cohere vs LFM2-24B-A2B
Cohere: Enterprise AI: Private, Secure, Customizable.. LFM2-24B-A2B: Efficient MoE LLM for edge devices, outperforming larger models locally.. Both tools take different approaches to address similar needs.
Both offer a free or freemium plan. Cohere is freemium and LFM2-24B-A2B is freemium.
The best choice between Cohere and LFM2-24B-A2B depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
Cohere is primarily designed for individuals, while LFM2-24B-A2B is built for businesses and professionals.
Cohere offers: Compass: An intelligent search and discovery system to surface business insights, Command: A family of high-performance, scalable language models, Aya: A family of multilingual research models covering 70+ languages, Embed: A leading multimodal search and retrieval tool. LFM2-24B-A2B offers: Hybrid 'A2B' Architecture for speed and efficiency, Sparse MoE Efficiency with 2.3B active parameters, True Edge Capability, fits in 32GB RAM, Open-Weight and broad inference support.
Based on our data, Cohere currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.
Cohere offers a free trial, but LFM2-24B-A2B does not.
Cohere is open source, while LFM2-24B-A2B is proprietary. Open source tools offer more transparency and customization options.
Cohere offers 20 integrations (elasticsearch, mongodb, redis, vespa, chroma...) compared to 0 for LFM2-24B-A2B.