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Fireworks AI vs SeaLink: Token Pricing, Speed & Intelligence

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

Fireworks AI

H100/H200/B200/B300/GB300 on-demand — Serverless Training API, Forge 2026 conference

Fireworks AI provides optimised inference for open-weight models with a focus on production reliability and low latency. On-demand GPU compute (H100, H200, B200, B300, GB300) is available alongside serverless inference. The Serverless Training API enables fine-tuning for GLM 5.3, Qwen 3.8 27B, Kimi K3, DeepSeek V4 Flash, and Muse Glimmer 30B without managing GPU infrastructure. Fireworks hosted its inaugural Forge 2026 conference.

ProductionReasoningSpeedOpen-sourceFine-tuning
Open-weight hostHosts 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

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

Fireworks AI

320+ tokens/sec on Llama 3.3 70B — fast GPU inference
H100/H200/B200/B300/GB300 on-demand GPU access
Serverless Training API for fine-tuning without infrastructure
Production-grade reliability with SLAs
OpenAI-compatible API
Slightly higher pricing than budget alternatives
Smaller model catalog than Together AI
Serverless Training is newer and less battle-tested

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

Fireworks AI

Production-grade reliability with the latest GPU hardware (B300/GB300) and a Serverless Training API — the most complete platform for open-weight model inference and fine-tuning.

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

Fireworks AI FAQs

What GPU hardware does Fireworks AI offer?

Fireworks AI offers on-demand H100, H200, B200, B300, and GB300 GPU instances for dedicated deployments, alongside their serverless inference API for pay-per-token access.

What is the Fireworks Serverless Training API?

Fireworks AI's Serverless Training API lets you fine-tune open-weight models without managing GPU infrastructure. Upload your training data, run fine-tuning jobs, and deploy the resulting model via their inference API.

What models does Fireworks AI offer?

Fireworks AI hosts Llama 3.3 70B, DeepSeek R1, Mixtral, and other popular open-weight models. They focus on production-ready models with optimised inference rather than the broadest possible catalog.

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

Fireworks AI — H100/H200/B200/B300/GB300 on-demand — Serverless Training API, Forge 2026 conference

Fireworks AI provides optimised inference for open-weight models with a focus on production reliability and low latency. On-demand GPU compute (H100, H200, B200, B300, GB300) is available alongside serverless inference. The Serverless Training API enables fine-tuning for GLM 5.3, Qwen 3.8 27B, Kimi K3, DeepSeek V4 Flash, and Muse Glimmer 30B without managing GPU infrastructure. Fireworks hosted its inaugural Forge 2026 conference.

Production-grade reliability with the latest GPU hardware (B300/GB300) and a Serverless Training API — the most complete platform for open-weight model inference and fine-tuning.

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

Fireworks AI

  • 320+ tokens/sec on Llama 3.3 70B — fast GPU inference
  • H100/H200/B200/B300/GB300 on-demand GPU access
  • Serverless Training API for fine-tuning without infrastructure
  • Slightly higher pricing than budget alternatives
  • Smaller model catalog than Together AI

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

Fireworks AI

  • Slightly higher pricing than budget alternatives
  • Smaller model catalog than Together AI
  • Serverless Training is newer and less battle-tested

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

Fireworks AI is a inference api, founded in 2022. SeaLink is a inference api, founded in 2024. 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 Fireworks AI and SeaLink 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.