Cohere vs SeaLink: Token Pricing, Speed & Intelligence
Full comparison of Cohere and SeaLink — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Cohere
Command A and Command R7B — enterprise RAG, North platform, and on-premise deployment
Cohere focuses on enterprise NLP, particularly retrieval-augmented generation (RAG) and search. Command A is their 2025 flagship — a 111B-parameter model optimised for agentic and multi-step enterprise workflows. Command R7B is the efficient tier. The North platform provides a managed enterprise AI environment with private deployment, compliance controls, and a complete RAG stack (LLM + Embed 4 + Rerank 3). Check cohere.com/pricing for current rates.
SeaLink
Embeddings API gateway (Singapore) — Gemini Embedding models, USD pricing, no chat completions
SeaLink is a Singapore-based embeddings API gateway providing access to Gemini Embedding 001 and Gemini Embedding 2. Pricing is in USD per 1M input tokens with no output charge. SeaLink does not offer chat completions — it is an embeddings-only service. Billing is in USD.
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Live token pricing
Strengths and weaknesses
Cohere
SeaLink
Key differentiators
The only major LLM provider with a complete enterprise RAG stack — Command A, Embed 4, and Rerank 3 — plus the North platform for private deployment and compliance-grade enterprise AI.
Embeddings-only API gateway in Singapore — Gemini Embedding 001 ($0.135/1M) and Gemini Embedding 2 ($0.18/1M) with USD billing and no output charge.
Frequently asked questions
Cohere FAQs
What is Command A?
Command A is Cohere's 2025 flagship model — a 111-billion-parameter model optimised for agentic and multi-step enterprise workflows, with a 256K token context window and strong tool-use performance. Check cohere.com/pricing for current rates.
What is Command R7B?
Command R7B is Cohere's efficient-tier model designed for high-volume RAG and classification workloads where cost efficiency is the priority. Check cohere.com/pricing for current rates.
What is the Cohere North platform?
North is Cohere's managed enterprise AI platform, providing a complete environment for building, deploying, and managing AI applications with private deployment, compliance controls, and integrated RAG capabilities. It is designed for enterprises with strict data residency requirements.
SeaLink FAQs
What is SeaLink?
SeaLink is a Singapore-based embeddings API gateway providing access to Gemini Embedding 001 and Gemini Embedding 2. It does not offer chat completions. See sealink.io/pricing for current rates.
Does SeaLink offer chat completions?
No. SeaLink is an embeddings-only service. It provides Gemini Embedding 001 and Gemini Embedding 2 for vector generation workloads such as semantic search and RAG pipelines. It does not offer chat, reasoning, or other completion modalities.
How much does SeaLink cost?
As of October 2026: Gemini Embedding 001 is USD 0.135 per 1M input tokens; Gemini Embedding 2 is USD 0.18 per 1M input tokens. There is no output charge for embeddings. See sealink.io/pricing for current rates.
Provider resources
Cohere — Command A and Command R7B — enterprise RAG, North platform, and on-premise deployment
Cohere focuses on enterprise NLP, particularly retrieval-augmented generation (RAG) and search. Command A is their 2025 flagship — a 111B-parameter model optimised for agentic and multi-step enterprise workflows. Command R7B is the efficient tier. The North platform provides a managed enterprise AI environment with private deployment, compliance controls, and a complete RAG stack (LLM + Embed 4 + Rerank 3). Check cohere.com/pricing for current rates.
The only major LLM provider with a complete enterprise RAG stack — Command A, Embed 4, and Rerank 3 — plus the North platform for private deployment and compliance-grade enterprise AI.
SeaLink — Embeddings API gateway (Singapore) — Gemini Embedding models, USD pricing, no chat completions
SeaLink is a Singapore-based embeddings API gateway providing access to Gemini Embedding 001 and Gemini Embedding 2. Pricing is in USD per 1M input tokens with no output charge. SeaLink does not offer chat completions — it is an embeddings-only service. Billing is in USD.
Embeddings-only API gateway in Singapore — Gemini Embedding 001 ($0.135/1M) and Gemini Embedding 2 ($0.18/1M) with USD billing and no output charge.
Key strengths compared
Cohere
- Command A: 111B model optimised for agentic enterprise workflows
- Command R7B: efficient tier — cost-effective for high-volume RAG and classification
- Embed 4 + Rerank 3: strong RAG stack with native grounding and citations
- Intelligence scores trail OpenAI and Anthropic at frontier tier
- Less suitable for creative or general chat tasks
SeaLink
- Gemini Embedding 001 and Gemini Embedding 2 at competitive USD rates
- Singapore-based — low latency for Southeast Asia workloads
- Simple USD billing with no output charge for embeddings
- Embeddings only — no chat completions or other modalities
- Small catalog limited to Gemini Embedding models
Key weaknesses compared
Cohere
- Intelligence scores trail OpenAI and Anthropic at frontier tier
- Less suitable for creative or general chat tasks
- Smaller developer community than OpenAI/Anthropic
SeaLink
- Embeddings only — no chat completions or other modalities
- Small catalog limited to Gemini Embedding models
- Newer provider with limited public track record
Provider category context
Cohere is a frontier lab, founded in 2019. SeaLink is a inference api, founded in 2024. Cohere as a frontier lab trains and serves its own proprietary models. SeaLink as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.
How to choose between them
Choose Cohere if you need command a: 111b model optimised for agentic enterprise workflows. Choose SeaLink if you need gemini embedding 001 and gemini embedding 2 at competitive usd rates. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.