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SeaLink vs Voyage AI: Token Pricing, Speed & Intelligence

Full comparison of SeaLink and Voyage AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

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.

EmbeddingsSemantic searchRAGVector databases
Open-weight host

Voyage AI

Voyage 3.5 — strong MTEB retrieval quality for RAG and semantic search

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants rank highly on the MTEB leaderboard for retrieval quality. The 2026 lineup adds Voyage 3.5 Lite (cost-efficient), Voyage Code 3 (code-optimised embeddings), and Voyage Multimodal 3 (image + text embeddings). Voyage AI is the default embedding provider for Anthropic's Claude documentation and many production RAG systems. Check voyageai.com for current rates.

RAG pipelinesSemantic searchDocument retrievalCode searchMultimodal retrievalReranking
Proprietary models

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

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
Newer provider with limited public track record

Voyage AI

Voyage 3.5 ranks highly on MTEB retrieval benchmarks
Voyage 3.5 Lite: cost-efficient embedding option
Voyage Code 3 for code-optimised embeddings
Voyage Multimodal 3 for image + text embeddings
Reranking models for two-stage retrieval pipelines
Default embedding provider for Anthropic Claude documentation
Embeddings and reranking only — no chat or generation models
Smaller ecosystem than OpenAI
No open-weight models

Key differentiators

SeaLink

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.

Voyage AI

Voyage 3.5 Lite delivers strong MTEB retrieval quality at cost-efficient pricing — with specialised variants for code and multimodal content.

Frequently asked questions

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.

Voyage AI FAQs

What is Voyage AI used for?

Voyage AI provides embedding and reranking models for RAG pipelines, semantic search, and document retrieval. It does not offer chat or text generation models — it is purpose-built for the retrieval layer of AI applications.

How does Voyage AI compare to OpenAI embeddings?

Voyage 3.5 consistently scores well on MTEB benchmarks relative to OpenAI text-embedding-3-large, often at lower per-token cost. Check voyageai.com and openai.com/api/pricing for current rates to compare.

What is Voyage Code 3?

Voyage Code 3 is a code-optimised embedding model designed for code search and retrieval. It outperforms general-purpose embeddings on code-related retrieval tasks, making it the preferred choice for code search applications.

Provider resources

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.

Voyage AI — Voyage 3.5 — strong MTEB retrieval quality for RAG and semantic search

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants rank highly on the MTEB leaderboard for retrieval quality. The 2026 lineup adds Voyage 3.5 Lite (cost-efficient), Voyage Code 3 (code-optimised embeddings), and Voyage Multimodal 3 (image + text embeddings). Voyage AI is the default embedding provider for Anthropic's Claude documentation and many production RAG systems. Check voyageai.com for current rates.

Voyage 3.5 Lite delivers strong MTEB retrieval quality at cost-efficient pricing — with specialised variants for code and multimodal content.

Key strengths compared

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

Voyage AI

  • Voyage 3.5 ranks highly on MTEB retrieval benchmarks
  • Voyage 3.5 Lite: cost-efficient embedding option
  • Voyage Code 3 for code-optimised embeddings
  • Embeddings and reranking only — no chat or generation models
  • Smaller ecosystem than OpenAI

Key weaknesses compared

SeaLink

  • Embeddings only — no chat completions or other modalities
  • Small catalog limited to Gemini Embedding models
  • Newer provider with limited public track record

Voyage AI

  • Embeddings and reranking only — no chat or generation models
  • Smaller ecosystem than OpenAI
  • No open-weight models

Provider category context

SeaLink is a inference api, founded in 2024. Voyage AI is a inference api, founded in 2023. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both SeaLink and Voyage AI host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.