Anthropic API is too slow for my app what else should I use

If Anthropic feels too slow for your app, the best alternative depends on what you need most: latency, quality, cost, context length, or tool use. Common faster options are:

Good alternatives

• OpenAI
  Often a strong default for speed + quality. Their smaller/optimized models can be very fast.
• Google Gemini
  Can be fast, especially for some multimodal and long-context tasks.
• Mistral
  Often a good choice if you want low latency and competitive cost, especially for simpler tasks.
• Cohere
  Useful for enterprise/search/RAG workflows; speed can be solid depending on model.
• Open-source models via hosted providers
  Examples: Llama, Qwen, Mixtral through providers like Together, Fireworks, Groq, Replicate, DeepInfra, etc. Some of these are extremely fast.

If speed is your main goal

Consider providers known for low latency:

• Groq: very fast inference for supported models
• Fireworks AI: optimized serving, often fast
• Together AI: broad open-model access, decent speed
• DeepInfra: often cost-effective and reasonably fast

How to choose

• Need best overall quality: OpenAI or Anthropic
• Need lowest latency: Groq, Fireworks, or smaller OpenAI/Gemini models
• Need cheaper at scale: Mistral or open-model providers
• Need long context: Gemini or some hosted open models

Also consider reducing latency without switching

• Use a smaller model
• Lower max output tokens
• Stream responses
• Cache repeated prompts/results
• Use prompt truncation/summarization
• Parallelize independent calls

If you want, I can recommend the best alternative specifically for your app if you tell me:

1. your use case,
2. your current Anthropic model,
3. your target response time, and
4. whether you care more about cost or quality.