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DigitalOcean's new inference router increases costs and response times

DigitalOcean has updated its Inference platform with a new, single inference-router that replaces four previous preset routers. This new router offers three preference options: balanced, budget, and quality, and aims to select the most appropriate model for user requests. Testing revealed that the new router, particularly in its budget setting, frequently selected more expensive models like Kimi K3, GPT-6 Astra, and Claude Opus 5.5, leading to higher costs and longer response times compared to directly calling models like Claude Opus 5.5 or Haiku 5.5. The router also sometimes resulted in empty answers due to models exceeding token limits while reasoning. AI

IMPACT DigitalOcean's updated inference router may lead to unexpected cost increases and slower response times for users, impacting application development.

RANK_REASON The item describes a change to an existing product's functionality and performance, not a new release or significant industry shift.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DigitalOcean's new inference router increases costs and response times

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The item describes a change to an existing product's functionality and performance, not a new release or significant industry shift.
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product, infra
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Remdore ·

    What DigitalOcean's new inference router picks for simple prompts

    <p>On 12 October DigitalOcean changed how routing works on its Inference platform. There used to be four preset routers, <code>router:general</code>, <code>router:software-engineering</code>, <code>router:writing</code> and <code>router:knowledge-base-document</code>. Now there i…