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.
- 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
- Operated by a long-established Japanese cloud provider (Sakura Internet, est. 1996)
- 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
Sakura Internet AI Engine Models
| Model | Modality | Tier | Price | Cached /1M | TTFT | Throughput | Context | Intel. | Caps | |
|---|---|---|---|---|---|---|---|---|---|---|
gpt-oss-120b GPT OSS | Chat | efficient | $0.15 per 10k tokens (JPY) EST Oct 2026 | — | — | — | 128K | — | ||
llm-jp-3.1-8x13b-instruct4 LLM-jp | Chat | budget | $0.15 per 10k tokens (JPY) EST Oct 2026 | — | — | — | 4K | — |
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Full comparison tableSakura Internet AI Engine LLM pricing overview
Sakura Internet AI Engine is an inference API provider that hosts open-weight and third-party large language models. 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. Common use cases include Chat, Open-source, Japanese NLP, Cost-efficiency. Headquartered in Osaka, Japan, founded 1996. All models are accessible via a REST API compatible with standard OpenAI-style request formats, enabling drop-in integration with most LLM frameworks and orchestration tools.
Sakura Internet AI Engine vs other LLM providers
Sakura Internet AI Engine competes with OpenAI, Anthropic, Google, Groq, Together AI, Mistral, Cohere, and other inference API providers across dimensions of price, throughput, latency, context window, and model intelligence. 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. Use the LLM provider comparison tool to see Sakura Internet AI Engine token pricing, latency, and throughput side-by-side with any other provider. The full LLM pricing table shows all providers ranked by input token cost, output token cost, and throughput in a single sortable view.
Why choose Sakura Internet AI Engine?
Sakura Internet AI Engine stands out because: 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.. The API currently offers 2 models, spanning 1 efficient, 1 budget tiers. For teams running high-volume inference workloads, prompt caching and batch API endpoints can reduce effective input token costs by 50–90% — check the context window cost guide for a full breakdown of caching economics.
Understanding Sakura Internet AI Engine token pricing
Sakura Internet AI Engine charges separately for input (prompt) and output (completion) tokens, priced per 1M tokens in USD. Output tokens are typically 3–5× more expensive than input tokens due to the compute cost of autoregressive generation. Prices shown are sourced from Sakura Internet AI Engine's public pricing page and updated every 15 minutes. Need help estimating your spend? Read the LLM API cost calculator guide — it covers tokens, context windows, prompt caching, and batch discounts with worked examples for RAG, chat history, and document processing workloads.
Sakura Internet AI Engine context window and model capabilities
Context window size directly affects both capability and cost — every token in the context window is charged as an input token. Sakura Internet AI Engine's largest context window is 128K tokens. For RAG and document processing workloads, longer context windows enable richer retrieval but increase per-call costs proportionally. Prompt caching — where supported — stores the KV state of repeated prefixes and charges 75–90% less for cache hits, making it the most impactful cost optimization for applications with consistent system prompts or retrieved documents. See the LLM context window cost guide for a full analysis of how context length affects your API bill.
Self-hosted vs managed inference: when Sakura Internet AI Engine makes sense
Managed inference APIs like Sakura Internet AI Engine eliminate infrastructure overhead — no GPU provisioning, driver management, or model serving stack to maintain. The trade-off is cost at scale: a single H100 at ~$2.50/hr can serve ~500K tokens/min of Llama 3.3 70B, which at Sakura Internet AI Engine API rates would cost significantly more per token. The break-even point depends on your request volume, latency requirements, and engineering capacity. For teams processing fewer than ~10M tokens/day, managed APIs are almost always cheaper when total cost of ownership is considered. Above that threshold, self-hosted inference on rented GPU compute typically wins on unit economics. Read the cheapest GPU cloud guide for a full break-even analysis. Historical Sakura Internet AI Engine token price data is available in the LLM price history charts.
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