Groq vs SeaLink: Token Pricing, Speed & Intelligence
Full comparison of Groq and SeaLink — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Groq
LPU + LPX inference — high-throughput tokens per second, $350M Series A
Groq runs custom Language Processing Units (LPUs) and the newer LPX chips that work alongside NVIDIA next-generation GPUs for high-throughput inference. Groq raised a $350M Series A in 2026 and is building hundreds of megawatts of capacity. Check listed rates and provider documentation for current model availability and throughput figures.
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.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Groq
SeaLink
Key differentiators
Groq's custom LPU/LPX chips deliver high-throughput inference significantly faster than conventional GPU systems, backed by $350M in Series A funding and hundreds of megawatts of planned capacity.
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
Groq FAQs
How fast is Groq inference?
Groq delivers 750+ tokens/second on Llama 3.3 70B and 1,200+ tokens/second on Llama 3.1 8B using custom LPU/LPX chips, making it well-suited for real-time and low-latency applications.
What is Groq's LPX chip?
The LPX is Groq's next-generation inference chip, introduced alongside the existing LPU lineup. It expands Groq's capacity and enables even higher throughput for large-scale deployments.
How much does Groq cost?
Groq uses per-token pricing across its model catalog. Check console.groq.com/docs/openai for current rates on Llama 3.3 70B, Llama 3.1 8B, and other models.
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
Groq — LPU + LPX inference — high-throughput tokens per second, $350M Series A
Groq runs custom Language Processing Units (LPUs) and the newer LPX chips that work alongside NVIDIA next-generation GPUs for high-throughput inference. Groq raised a $350M Series A in 2026 and is building hundreds of megawatts of capacity. Check listed rates and provider documentation for current model availability and throughput figures.
Groq's custom LPU/LPX chips deliver high-throughput inference significantly faster than conventional GPU systems, backed by $350M in Series A funding and hundreds of megawatts of planned capacity.
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
Groq
- 750+ tokens/sec on Llama 3.3 70B — high-throughput GPU-class inference (Groq-published)
- Sub-100ms time-to-first-token for real-time applications
- LPX chips alongside LPUs for expanded capacity
- Limited model selection vs. Together AI or Fireworks
- No vision model support on most models
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
Groq
- Limited model selection vs. Together AI or Fireworks
- No vision model support on most models
- No fine-tuning capability
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
Groq is a inference api, founded in 2016. 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 Groq 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.