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Meta vs SeaLink: Token Pricing, Speed & Intelligence

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

Meta

Muse brand — Muse Spark 1.3, Muse Glimmer, Muse Image, Muse Voice via Meta Model API

Meta AI is the creator of the Llama model family and the Muse proprietary product line. As of September 2026, Meta's managed API (Meta Model API) offers Muse Spark 1.3 (flagship multimodal), Muse Glimmer (efficient tier), Muse Image (image generation), and Muse Voice (speech synthesis). Llama 4 Scout, Maverick, and Behemoth remain open-weight and available through dozens of third-party providers. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.

Self-hosted inferenceCost-optimised at scaleEdge/on-deviceChatVisionImage generationVoice AI
Proprietary modelsHosts open weights

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

Key metric comparison

Meta
SeaLink
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

Meta

Open-weight Llama 4 models — self-host on any GPU cloud for lowest per-token cost at scale
Muse Spark 1.3: flagship multimodal model with 1M context window
Muse Image and Muse Voice for image generation and speech synthesis
Widest third-party hosting ecosystem — available on AWS, Azure, GCP, Together AI, Groq, and 20+ others
Llama 3.2 1B/3B models run on-device (mobile, edge)
No vendor lock-in on Llama — switch inference providers without changing model weights
Self-hosting requires GPU infrastructure expertise
Meta Model API has limited availability vs third-party hosts
Muse Spark 1.3 pricing not yet publicly listed at launch
Smaller proprietary model lineup vs OpenAI/Anthropic

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

Key differentiators

Meta

The only frontier-class model family available as open weights — plus the Muse product line (Spark, Glimmer, Image, Voice) for teams that want managed API access without self-hosting.

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.

Frequently asked questions

Meta FAQs

What is the Muse brand from Meta?

Muse is Meta's proprietary managed API product line, launched in 2026. It includes Muse Spark 1.3 (flagship multimodal, 1M context), Muse Glimmer (efficient tier), Muse Image (image generation), and Muse Voice (speech synthesis) — all available via the Meta Model API.

What is the Llama 4 context window?

Llama 4 Scout and Maverick support 1,000,000-token (1M) context windows. Llama 4 Behemoth also targets 1M context. This makes Llama 4 competitive with Gemini 3.x for long-document and multi-document tasks.

Can I self-host Llama models?

Yes — all Llama 3.x and Llama 4 Scout/Maverick weights are publicly available under the Llama Community License. You can run them on any GPU cloud provider. Self-hosting becomes cost-effective at high token volumes — check the live GPU table for current H100 rates.

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

Meta

Provider page
Website
PricingDocs

SeaLink

Provider page
Website
PricingDocs

Meta — Muse brand — Muse Spark 1.3, Muse Glimmer, Muse Image, Muse Voice via Meta Model API

Meta AI is the creator of the Llama model family and the Muse proprietary product line. As of September 2026, Meta's managed API (Meta Model API) offers Muse Spark 1.3 (flagship multimodal), Muse Glimmer (efficient tier), Muse Image (image generation), and Muse Voice (speech synthesis). Llama 4 Scout, Maverick, and Behemoth remain open-weight and available through dozens of third-party providers. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.

The only frontier-class model family available as open weights — plus the Muse product line (Spark, Glimmer, Image, Voice) for teams that want managed API access without self-hosting.

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

Meta

  • Open-weight Llama 4 models — self-host on any GPU cloud for lowest per-token cost at scale
  • Muse Spark 1.3: flagship multimodal model with 1M context window
  • Muse Image and Muse Voice for image generation and speech synthesis
  • Self-hosting requires GPU infrastructure expertise
  • Meta Model API has limited availability vs third-party hosts

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

Meta

  • Self-hosting requires GPU infrastructure expertise
  • Meta Model API has limited availability vs third-party hosts
  • Muse Spark 1.3 pricing not yet publicly listed at launch
  • Smaller proprietary model lineup vs 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

Meta is a open source host, founded in 2023. SeaLink is a inference api, founded in 2024. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.

How to choose between them

Choose Meta if you need open-weight llama 4 models — self-host on any gpu cloud for lowest per-token cost at scale. 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.