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      <title>How I Manage Multiple AI APIs Without Going Broke</title>
      <dc:creator>Luokaiyuan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 09:12:27 +0000</pubDate>
      <link>https://dev.to/aibigbro/how-i-manage-multiple-ai-apis-without-going-broke-10pl</link>
      <guid>https://dev.to/aibigbro/how-i-manage-multiple-ai-apis-without-going-broke-10pl</guid>
      <description>&lt;p&gt;I’ve been heavily using different AI APIs for side projects and client work this year — mainly Azure OpenAI, Claude (via Bedrock), and Gemini (Vertex AI).&lt;br&gt;
The biggest headache isn’t the models themselves, but finding &lt;strong&gt;stable, long-term sources&lt;/strong&gt; with decent quotas and reasonable pricing. Official pricing is fine for testing, but once you scale, costs become painful and rate limits start hitting hard.&lt;br&gt;
Currently my main usage is:- Azure GPT (East US 2) – still the most stable for me- Claude Opus (via AWS Bedrock)- Gemini series (Vertex AI)&lt;br&gt;
Curious how others are handling this in 2026. Are you mostly sticking with official accounts, or do you also look for reliable third-party / upstream sources when volume gets high?&lt;br&gt;
Also open to recommendations for stable providers (especially high-quota ones). Feel free to share your experience below 👇&lt;/p&gt;

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