{"id":"together-ai-api","name":"Together AI API","homepage":"https://www.together.ai","repo_url":"https://github.com/togethercomputer","category":"developer-tools","subcategories":["llm-inference","ai-infrastructure","model-hosting"],"tags":["llm","inference","openai-compatible","llama","mistral","mixtral","open-source-models","fine-tuning"],"what_it_does":"Together AI provides high-throughput, cost-effective inference for 100+ open-source LLMs including Llama 3.x, Mixtral, Qwen, DeepSeek, and Code Llama. Uses an OpenAI-compatible API (same endpoint format, same client libraries), making it a drop-in alternative for agents using OpenAI SDKs. Supports chat completions, text completions, embeddings, image generation, and fine-tuning. Popular for teams wanting open model access without vendor lock-in.","use_cases":["Drop-in replacement for OpenAI API using open-source models at lower cost","Running Llama 3.x or Mixtral models for production AI agent backends","Fine-tuning open-source LLMs on proprietary data without managing GPU infrastructure","Parallel inference across multiple models for ensemble/routing architectures","Cost-sensitive agent workloads where OpenAI pricing is prohibitive","Evaluating multiple open-source models against each other via unified API","Building privacy-sensitive applications where keeping data off proprietary APIs matters"],"not_for":["Agents that require GPT-4 or Claude-specific capabilities — open models may underperform on complex reasoning","Ultra-low latency requirements under 100ms (use Groq for that)","Teams that need enterprise SLA guarantees beyond 99.9% uptime"],"best_when":"You want OpenAI API compatibility but need open-source models (for cost, privacy, or customization), or when you need to fine-tune a model on your own data. The OpenAI-compatible format means zero code changes when switching from OpenAI.","avoid_when":"You need the absolute lowest latency (use Groq), guaranteed frontier model performance (use OpenAI/Anthropic directly), or need multimodal vision with open models at production quality.","alternatives":[{"id":"groq-api","reason":"10-20x faster token generation; less model variety but dramatically lower latency"},{"id":"replicate-api","reason":"Better for image/video/audio models; Together is better for LLM chat completions"},{"id":"huggingface-inference-api","reason":"Hugging Face has more model variety; Together has better reliability and throughput for production"}],"af_score":84.8,"security_score":null,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"current","last_evaluated":"2026-03-01T09:50:06.298948+00:00","performance":{"latency_p50_ms":400,"latency_p99_ms":1500,"uptime_sla_percent":99.9,"rate_limits":"Free tier: 1 req/sec, 60 req/min. Paid: 10 req/sec per model, configurable higher. Rate limits are per model, not global.","data_source":"llm_estimated","measured_on":null}}