Together AI API
Together AI provides serverless and dedicated inference for 100+ open-source models including Llama 3, Mistral, FLUX, and Stable Diffusion via an OpenAI-compatible API, plus managed fine-tuning and embeddings.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
TLS enforced. Single API key with no scope restrictions. SOC 2 Type II compliant. Privacy policy states customer prompts are not used for training. US-only data processing.
⚡ Reliability
Best When
You want a large catalog of open-source models with a unified OpenAI-compatible interface, including text, embeddings, and image generation in one platform.
Avoid When
You need the absolute lowest latency (Groq is faster) or require proprietary model access unavailable in open-weight form.
Use Cases
- • Run inference on a broad catalog of open-source models (Llama 3.1, Mistral, Qwen, DeepSeek) with a single OpenAI-compatible API client
- • Generate embeddings for RAG pipelines using models like BAAI/bge-large-en-v1.5 or Mistral-7B-based embedding endpoints
- • Fine-tune Llama or Mistral models on custom datasets using Together's managed fine-tuning API and then deploy them to the same endpoint
- • Generate images with FLUX.1 or Stable Diffusion models through the same API client used for text completions
- • Benchmark multiple open-source models on the same task by switching model IDs within the same API call structure to compare quality and cost
Not For
- • Applications requiring proprietary frontier models (GPT-4o, Claude, Gemini) not available in open-weight form
- • Production workloads requiring guaranteed SLA-backed uptime beyond what serverless inference provides
- • Teams needing integrated agent orchestration, memory, or built-in RAG pipeline management
Interface
Authentication
API key passed as Bearer token in Authorization header. Fully OpenAI SDK compatible — set base_url to api.together.xyz/v1 and use existing OpenAI client.
Pricing
Most models bill input and output tokens at the same rate. Free models available (older/smaller models). Fine-tuning costs additional per-token for training plus storage.
Agent Metadata
Known Gotchas
- ⚠ Model availability varies — models can be added or removed; always check /models endpoint before hardcoding model IDs
- ⚠ Context window sizes differ significantly between models; don't assume GPT-4 context limits apply
- ⚠ Streaming responses require server-sent events handling; some proxy setups break SSE
- ⚠ Fine-tuned model IDs use a different naming convention (username/model-name) which can confuse routing logic
- ⚠ JSON mode ('response_format': {'type': 'json_object'}) not supported by all models
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Together AI API.
Scores are editorial opinions as of 2026-03-06.