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

Full comparison of Replicate 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.

Replicate

Run any open-source AI model via API — FLUX 1.1 Pro, Llama 4, video, audio, and custom models

Replicate is a platform for running open-source AI models via a simple API. It hosts thousands of community models including FLUX 1.1 Pro, Llama 4, Stable Diffusion, Whisper, and video generation models. Pay per prediction with no infrastructure to manage. The 2026 catalog has expanded significantly with FLUX 1.1 Pro Ultra, Kling v2.1, and Llama 4 Scout/Maverick. Custom model deployment via Cog remains a core differentiator.

Image generationVideo generationAudio transcriptionCustom model deploymentPrototypingMultimodal AI
Open-weight hostHosts open weights

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

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

Replicate

Broad catalog of community AI models — text, image, video, audio
FLUX 1.1 Pro Ultra and Kling v2.1 in the 2026 catalog
Llama 4 Scout and Maverick available
Custom model deployment via Cog — any Hugging Face model can be deployed
Simple pay-per-prediction pricing with no infrastructure
Streaming and webhooks for production integrations
Higher per-token cost than dedicated text inference APIs
Cold start latency on less popular models
Less suitable for high-throughput text inference

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

Key differentiators

Replicate

A broad catalog of community AI models — if a model exists on Hugging Face, it's likely on Replicate. Strong coverage for image, video, and audio model access, plus custom model deployment via Cog.

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.

Frequently asked questions

Replicate FAQs

What new models did Replicate add in 2026?

Replicate added FLUX 1.1 Pro Ultra, Kling v2.1 (video generation), Llama 4 Scout and Maverick, and many other models in 2026. The catalog is continuously updated as new community models are released.

How does Replicate pricing work?

Replicate charges per prediction based on compute time used. Pricing varies by model and GPU type. Text models are billed per token; image models per image; video models per second of output. Some models are free with rate limits.

Can I deploy my own model on Replicate?

Yes. Replicate lets you package and deploy custom models using Cog, their open-source model packaging tool. Once deployed, your model gets a public API endpoint with automatic scaling.

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

Replicate — Run any open-source AI model via API — FLUX 1.1 Pro, Llama 4, video, audio, and custom models

Replicate is a platform for running open-source AI models via a simple API. It hosts thousands of community models including FLUX 1.1 Pro, Llama 4, Stable Diffusion, Whisper, and video generation models. Pay per prediction with no infrastructure to manage. The 2026 catalog has expanded significantly with FLUX 1.1 Pro Ultra, Kling v2.1, and Llama 4 Scout/Maverick. Custom model deployment via Cog remains a core differentiator.

A broad catalog of community AI models — if a model exists on Hugging Face, it's likely on Replicate. Strong coverage for image, video, and audio model access, plus custom model deployment via Cog.

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

Replicate

  • Broad catalog of community AI models — text, image, video, audio
  • FLUX 1.1 Pro Ultra and Kling v2.1 in the 2026 catalog
  • Llama 4 Scout and Maverick available
  • Higher per-token cost than dedicated text inference APIs
  • Cold start latency on less popular 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

Replicate

  • Higher per-token cost than dedicated text inference APIs
  • Cold start latency on less popular models
  • Less suitable for high-throughput text inference

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

Replicate is a inference api, founded in 2021. 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 Replicate if you need broad catalog of community ai models — text, image, video, audio. 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.