85
/100
prowl
Benchmarked Apr 06, 2026

Together AI

Open-source model API

ai platform_profile
Benchmark Your API

Score Breakdown

Latency 10/10
Parseability 10/10
Token Efficiency 9/10
Consistency 8/10
Documentation 8/10
Error Clarity 8/10
Auth Simplicity 8/10
First-Try Success 8/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
```json
{
  "service_type": "platform",
  "base_url": "https://together.ai",
  "auth_method": "api_key",
  "auth_config": {
    "header_name": "Authorization",
    "header_format": "Bearer {api_key}",
    "supports_multiple_keys": true,
    "team_management": true
  },
  "endpoints": [
    {
      "path": "/v1/chat/completions",
      "method": "POST",
      "purpose": "OpenAI-compatible chat completions"
    },
    {
      "path": "/v1/completions", 
      "method": "POST",
      "purpose": "Text completions"
    },
    {
      "path": "/v1/images/generations",
      "method": "POST", 
      "purpose": "Text-to-image generation"
    },
    {
      "path": "/v1/embeddings",
      "method": "POST",
      "purpose": "Vector embeddings for RAG"
    },
    {
      "path": "/v1/rerank",
      "method": "POST",
      "purpose": "Document reranking"
    },
    {
      "path": "/v1/fine-tunes",
      "method": "POST",
      "purpose": "Create fine-tuning jobs"
    },
    {
      "path": "/v1/models",
      "method": "GET",
      "purpose": "List available models"
    }
  ],
  "pricing_model": {
    "type": "freemium", 
    "details": {
      "structure": "pay_per_token_and_compute",
      "tiers": ["free_trial", "pay_as_you_go", "enterprise"],
      "billing_units": ["tokens", "gpu_hours", "storage_gb"],
      "products": {
        "serverless_inference": "per_token",
        "dedicated_endpoints": "hourly_compute", 
        "gpu_clusters": "hourly_gpu",
        "fine_tuning": "per_training_token",
        "batch_inference": "discounted_per_token"
      }
    }
  },
  "rate_limits": {
    "has_limits": true,
    "varies_by_tier": true,
    "increasable": true,
    "enterprise_sla": true
  },
  "capabilities": [
    "ai_model_inference",
    "openai_api_compatibility", 
    "200_plus_open_models",
    "frontier_model_access",
    "llama_4_models",
    "deepseek_models", 
    "qwen_models",
    "custom_model_upload",
    "full_fine_tuning",
    "lora_adapters", 
    "dedicated_model_endpoints",
    "serverless_inference",
    "batch_processing",
    "gpu_cluster_provisioning",
    "h100_h200_gb200_b300_access",
    "code_sandbox_execution",
    "managed_storage",
    "model_evaluations",
    "function_calling",
    "json_mode_output",
    "reasoning_models",
    "multimodal_vision",
    "text_to_speech",
    "speech_to_text", 
    "image_generation",
    "embeddings_rag",
    "document_reranking",
    "enterprise_deployment",
    "private_cloud_options",
    "sla_guarantees",
    "compliance_features"
  ],
  "raw_analysis": "Together AI is a comprehensive AI infrastructure platform that positions itself as the 'AI Native Cloud.' It's a mature, enterprise-grade platform that offers a full stack of AI services from model inference to training infrastructure. The platform serves as a bridge between open-source AI models and production deployments, offering both serverless and dedicated infrastructure options. Key strengths include: (1) Massive model catalog with 200+ open-source and frontier models including latest Llama 4, DeepSeek, and Qwen families; (2) Full OpenAI API compatibility making it a drop-in replacement; (3) Complete MLOps pipeline from fine-tuning to deployment; (4) Enterprise-grade infrastructure with dedicated GPU clusters (H100/H200/GB200/B300); (5) Advanced features like function calling, JSON mode, reasoning models, and multimodal capabilities. The platform targets developers and enterprises building AI applications who need reliable, scalable inference and training infrastructure. Together AI differentiates itself by focusing on open-source models while providing enterprise reliability, making it attractive for organizations wanting to avoid vendor lock-in with proprietary models. The extensive documentation, multiple API endpoints, and integration options indicate a mature platform with strong developer experience. Pricing transparency and multiple deployment options (serverless vs dedicated) show flexibility for different use cases and scales."
}
```
Execute

3/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /200337ms
robots_txtGET /robots.txt200142ms
llms_txtGET /llms.txt200135ms
Interpret
{"multi_model": true, "models_used": ["openai", "claude_cli"], "model_scores": {"GPT-4o": {"overall": 81, "dimensions": {"token_efficiency": 8.0, "first_try_success": 7.0, "response_parseability": 10.0, "error_clarity": 7.0, "doc_quality": 7.0, "auth_simplicity": 8.0, "latency": 10.0, "consistency": 8.0}}, "Claude CLI": {"overall": 88, "dimensions": {"token_efficiency": 9.5, "first_try_success": 8.5, "response_parseability": 9.5, "error_clarity": 8.0, "doc_quality": 8.5, "auth_simplicity": 8.0, "latency": 10.0, "consistency": 9.0}}}, "averaged": true}

Agent Readiness

x402 Payments
Not supported
Streaming
No
Sandbox
None
Agent Auth
Unknown
SDKs
None listed
MCP Support
No

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