Compute Comparison
vs
All providers →
Sakura Internet AI EnginevsVoyage AI

Sakura Internet AI Engine vs Voyage AI: Token Pricing, Speed & Intelligence

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

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.

ChatOpen-sourceJapanese NLPCost-efficiency
Open-weight hostHosts open weights

Voyage AI

Voyage 3.5 — strong MTEB retrieval quality for RAG and semantic search

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants rank highly on the MTEB leaderboard for retrieval quality. The 2026 lineup adds Voyage 3.5 Lite (cost-efficient), Voyage Code 3 (code-optimised embeddings), and Voyage Multimodal 3 (image + text embeddings). Voyage AI is the default embedding provider for Anthropic's Claude documentation and many production RAG systems. Check voyageai.com for current rates.

RAG pipelinesSemantic searchDocument retrievalCode searchMultimodal retrievalReranking
Proprietary models

Key metric comparison

Sakura Internet AI Engine
Voyage AI
Cheapest input ($/1M)

—

—

Cheapest output ($/1M)

—

—

Peak throughput

—

—

Best latency (TTFT)

—

—

Intelligence score

—

—

Context window

—

—

Live token pricing

Strengths and weaknesses

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
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

Voyage AI

Voyage 3.5 ranks highly on MTEB retrieval benchmarks
Voyage 3.5 Lite: cost-efficient embedding option
Voyage Code 3 for code-optimised embeddings
Voyage Multimodal 3 for image + text embeddings
Reranking models for two-stage retrieval pipelines
Default embedding provider for Anthropic Claude documentation
Embeddings and reranking only — no chat or generation models
Smaller ecosystem than OpenAI
No open-weight models

Key differentiators

Sakura Internet AI Engine

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.

Voyage AI

Voyage 3.5 Lite delivers strong MTEB retrieval quality at cost-efficient pricing — with specialised variants for code and multimodal content.

Frequently asked questions

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.

Voyage AI FAQs

What is Voyage AI used for?

Voyage AI provides embedding and reranking models for RAG pipelines, semantic search, and document retrieval. It does not offer chat or text generation models — it is purpose-built for the retrieval layer of AI applications.

How does Voyage AI compare to OpenAI embeddings?

Voyage 3.5 consistently scores well on MTEB benchmarks relative to OpenAI text-embedding-3-large, often at lower per-token cost. Check voyageai.com and openai.com/api/pricing for current rates to compare.

What is Voyage Code 3?

Voyage Code 3 is a code-optimised embedding model designed for code search and retrieval. It outperforms general-purpose embeddings on code-related retrieval tasks, making it the preferred choice for code search applications.

Provider resources

Sakura Internet AI Engine

Provider page
Website
PricingDocs

Voyage AI

Provider page
Website
PricingDocs

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.

Voyage AI — Voyage 3.5 — strong MTEB retrieval quality for RAG and semantic search

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants rank highly on the MTEB leaderboard for retrieval quality. The 2026 lineup adds Voyage 3.5 Lite (cost-efficient), Voyage Code 3 (code-optimised embeddings), and Voyage Multimodal 3 (image + text embeddings). Voyage AI is the default embedding provider for Anthropic's Claude documentation and many production RAG systems. Check voyageai.com for current rates.

Voyage 3.5 Lite delivers strong MTEB retrieval quality at cost-efficient pricing — with specialised variants for code and multimodal content.

Key strengths compared

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

Voyage AI

  • Voyage 3.5 ranks highly on MTEB retrieval benchmarks
  • Voyage 3.5 Lite: cost-efficient embedding option
  • Voyage Code 3 for code-optimised embeddings
  • Embeddings and reranking only — no chat or generation models
  • Smaller ecosystem than OpenAI

Key weaknesses compared

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

Voyage AI

  • Embeddings and reranking only — no chat or generation models
  • Smaller ecosystem than OpenAI
  • No open-weight models

Provider category context

Sakura Internet AI Engine is a cloud, founded in 1996. Voyage AI is a inference api, founded in 2023. 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 Sakura Internet AI Engine if you need jpy-denominated pricing — predictable costs for japan-based teams without fx exposure. Choose Voyage AI if you need voyage 3.5 ranks highly on mteb retrieval benchmarks. 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.