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Crusoe Managed InferencevsSakura Internet AI Engine

Crusoe Managed Inference vs Sakura Internet AI Engine: Token Pricing, Speed & Intelligence

Full comparison of Crusoe Managed Inference 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.

Crusoe Managed Inference

Managed inference on Crusoe Cloud — DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3

Crusoe Managed Inference is the serverless LLM inference service from Crusoe Cloud, offering a curated catalog of open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. Crusoe Cloud is known for its clean-energy GPU infrastructure. Pricing is published at crusoe.ai/cloud/managed-inference.

Open-sourceCost-efficiencyClean energyReasoningChat
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

Crusoe Managed Inference
Sakura Internet AI Engine
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

Crusoe Managed Inference

Clean-energy GPU infrastructure — stranded and flared gas power
Curated open-weight model catalog: DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3
Competitive pricing on flagship open-weight models
OpenAI-compatible API
Backed by Crusoe Cloud's GPU compute infrastructure
Smaller model catalog than Together AI or Fireworks
No proprietary frontier models
Less mature inference platform than dedicated inference providers

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

Crusoe Managed Inference

Managed inference on Crusoe Cloud's clean-energy GPU infrastructure — competitive pricing on DeepSeek V4, Gemma 4, GLM 5.1, and Qwen3 without managing GPU clusters.

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

Crusoe Managed Inference FAQs

What is Crusoe Managed Inference?

Crusoe Managed Inference is the serverless LLM API from Crusoe Cloud, offering open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. See crusoe.ai/cloud/managed-inference for current rates.

How much does Crusoe Managed Inference cost?

As of October 2026: DeepSeek V3 0324 $0.50/$1.50, DeepSeek V4 Flash $0.14/$0.28, DeepSeek V4 Pro $1.74/$3.48, Gemma 4 31B $0.14/$0.40, GLM 5.1 $1.20/$4.40, gpt-oss-120b $0.05/$0.20, Llama 3.3 70B $0.25/$0.75, Qwen3 235B A22B 2507 $0.22/$0.80. See crusoe.ai/cloud/managed-inference for current rates.

Is Crusoe Cloud clean energy?

Yes. Crusoe Cloud is known for using stranded and flared gas to power its GPU infrastructure, reducing the carbon footprint of AI compute compared to conventional data centers.

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

Crusoe Managed Inference

Provider page
Website
PricingDocs

Sakura Internet AI Engine

Provider page
Website
PricingDocs

Crusoe Managed Inference — Managed inference on Crusoe Cloud — DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3

Crusoe Managed Inference is the serverless LLM inference service from Crusoe Cloud, offering a curated catalog of open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. Crusoe Cloud is known for its clean-energy GPU infrastructure. Pricing is published at crusoe.ai/cloud/managed-inference.

Managed inference on Crusoe Cloud's clean-energy GPU infrastructure — competitive pricing on DeepSeek V4, Gemma 4, GLM 5.1, and Qwen3 without managing GPU clusters.

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

Crusoe Managed Inference

  • Clean-energy GPU infrastructure — stranded and flared gas power
  • Curated open-weight model catalog: DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3
  • Competitive pricing on flagship open-weight models
  • Smaller model catalog than Together AI or Fireworks
  • No proprietary frontier 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

Crusoe Managed Inference

  • Smaller model catalog than Together AI or Fireworks
  • No proprietary frontier models
  • Less mature inference platform than dedicated inference providers

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

Crusoe Managed Inference is a cloud, founded in 2020. Sakura Internet AI Engine is a cloud, founded in 1996. Both are cloud providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Choose Crusoe Managed Inference if you need clean-energy gpu infrastructure — stranded and flared gas power. 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.