Groq vs Sakura Internet AI Engine: Token Pricing, Speed & Intelligence
Full comparison of Groq and Sakura Internet AI Engine — 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.
Sakura Internet AI Engine
Japanese cloud AI inference — gpt-oss-120b and LLM-jp models, priced in JPY per 10k tokens
Sakura Internet AI Engine is a Japanese cloud AI inference service offering gpt-oss-120b and llm-jp-3.1-8x13b-instruct4. Pricing is JPY 0.15 input / JPY 0.75 output per 10,000 tokens (tax included). A free allowance of 3,000 requests per month is included; a paid plan is required for usage beyond that. Rates shown on this site are normalized to per-1M tokens for cross-provider comparison; the native per-10k-token unit is shown in the model table below.
Key metric comparison
—
—
—
—
—
—
—
—
—
—
—
—
Live token pricing
Strengths and weaknesses
Groq
Sakura Internet AI Engine
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.
JPY-denominated AI inference from a Japanese cloud provider — gpt-oss-120b and LLM-jp at ¥0.15/¥0.75 per 10k tokens (tax incl.), with 3,000 free requests/month.
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.
Sakura Internet AI Engine FAQs
What is Sakura Internet AI Engine?
Sakura Internet AI Engine is a Japanese cloud AI inference service offering gpt-oss-120b and llm-jp-3.1-8x13b-instruct4. Pricing is JPY 0.15 input / JPY 0.75 output per 10,000 tokens (tax included). See ai.sakura.ad.jp/sakura-ai/ai-engine/ for current rates.
How much does Sakura Internet AI Engine cost?
Pricing is JPY 0.15 per 10,000 input tokens and JPY 0.75 per 10,000 output tokens, tax included. A free allowance of 3,000 requests per month is included; a paid plan is required beyond that. See ai.sakura.ad.jp/sakura-ai/ai-engine/ for current rates.
Is there a free tier on Sakura Internet AI Engine?
Yes. Sakura Internet AI Engine includes 3,000 free requests per month. A paid plan is required for usage beyond this allowance.
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.
Sakura Internet AI Engine — Japanese cloud AI inference — gpt-oss-120b and LLM-jp models, priced in JPY per 10k tokens
Sakura Internet AI Engine is a Japanese cloud AI inference service offering gpt-oss-120b and llm-jp-3.1-8x13b-instruct4. Pricing is JPY 0.15 input / JPY 0.75 output per 10,000 tokens (tax included). A free allowance of 3,000 requests per month is included; a paid plan is required for usage beyond that. Rates shown on this site are normalized to per-1M tokens for cross-provider comparison; the native per-10k-token unit is shown in the model table below.
JPY-denominated AI inference from a Japanese cloud provider — gpt-oss-120b and LLM-jp at ¥0.15/¥0.75 per 10k tokens (tax incl.), with 3,000 free requests/month.
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
Sakura Internet AI Engine
- JPY-denominated pricing — predictable costs for Japan-based teams without FX exposure
- Includes gpt-oss-120b and the Japanese-language-optimised llm-jp-3.1-8x13b-instruct4
- 3,000 free requests per month included before billing begins
- Paid plan required beyond the 3,000-request monthly free allowance
- Small model catalog compared to global inference APIs
Key weaknesses compared
Groq
- Limited model selection vs. Together AI or Fireworks
- No vision model support on most models
- No fine-tuning capability
Sakura Internet AI Engine
- Paid plan required beyond the 3,000-request monthly free allowance
- Small model catalog compared to global inference APIs
- JPY pricing means non-JPY users carry currency risk
Provider category context
Groq is a inference api, founded in 2016. Sakura Internet AI Engine is a cloud, founded in 1996. 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 Groq if you need 750+ tokens/sec on llama 3.3 70b — high-throughput gpu-class inference (groq-published). Choose Sakura Internet AI Engine if you need jpy-denominated pricing — predictable costs for japan-based teams without fx exposure. 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.