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Deep InfravsSakura Internet AI Engine

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

Full comparison of Deep Infra 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.

Deep Infra

Ultra-cheap open-weight inference — Llama 4, DeepSeek V4 Pro, Qwen3 at rock-bottom prices

Deep Infra is an inference-focused API provider that consistently offers the lowest per-token prices for open-weight models. The 2026 catalog includes Llama 4 Scout/Maverick, DeepSeek V4 Pro, Qwen3-235B, Kimi K3, and the full Llama 3.x family. Deep Infra is the go-to choice for cost-sensitive production inference where price is the primary constraint.

Cost-sensitive inferenceHigh-volume batch processingLlama 4 productionDeepSeek hostingBudget production workloads
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

Deep Infra
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

Deep Infra

Consistently lowest prices for open-weight models — often 30–50% below competitors
2026 catalog: Llama 4, DeepSeek V4 Pro, Qwen3-235B, Kimi K3
Wide model catalog updated rapidly as new models release
OpenAI-compatible API — zero migration friction
No rate limits on most models
Fast cold start times
No proprietary models — open-weight only
No enterprise SLAs or dedicated support
Smaller ecosystem than Together AI or Fireworks

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

Deep Infra

The most price-competitive inference API for open-weight models — Llama 4, DeepSeek V4 Pro, and Qwen3 at prices 30–50% below comparable providers, with zero migration friction via OpenAI-compatible API.

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

Deep Infra FAQs

What models does Deep Infra support in 2026?

Deep Infra hosts Llama 4 Scout and Maverick, DeepSeek V4 Pro, Qwen3-235B, Kimi K3, the full Llama 3.x family, Mistral, Mixtral, and many others. The catalog is updated rapidly as new open-weight models are released.

How cheap is Deep Infra compared to other providers?

Deep Infra is consistently among the more affordable providers for open-weight models. Check deepinfra.com/pricing for current rates on Llama 3.1 8B, Llama 3.3 70B, and other models.

Is Deep Infra OpenAI-compatible?

Yes. Deep Infra provides an OpenAI-compatible API, so you can use the OpenAI SDK by pointing it at the Deep Infra endpoint. This makes migration from OpenAI or other providers straightforward.

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

Deep Infra

Provider page
Website
PricingDocs

Sakura Internet AI Engine

Provider page
Website
PricingDocs

Deep Infra — Ultra-cheap open-weight inference — Llama 4, DeepSeek V4 Pro, Qwen3 at rock-bottom prices

Deep Infra is an inference-focused API provider that consistently offers the lowest per-token prices for open-weight models. The 2026 catalog includes Llama 4 Scout/Maverick, DeepSeek V4 Pro, Qwen3-235B, Kimi K3, and the full Llama 3.x family. Deep Infra is the go-to choice for cost-sensitive production inference where price is the primary constraint.

The most price-competitive inference API for open-weight models — Llama 4, DeepSeek V4 Pro, and Qwen3 at prices 30–50% below comparable providers, with zero migration friction via OpenAI-compatible API.

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

Deep Infra

  • Consistently lowest prices for open-weight models — often 30–50% below competitors
  • 2026 catalog: Llama 4, DeepSeek V4 Pro, Qwen3-235B, Kimi K3
  • Wide model catalog updated rapidly as new models release
  • No proprietary models — open-weight only
  • No enterprise SLAs or dedicated support

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

Deep Infra

  • No proprietary models — open-weight only
  • No enterprise SLAs or dedicated support
  • Smaller ecosystem than Together AI or Fireworks

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

Deep Infra is a inference api, founded in 2023. 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 Deep Infra if you need consistently lowest prices for open-weight models — often 30–50% below competitors. 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.