Pinecone vs Together AI
Managed vector database for AI — RAG, semantic search, recommendations
vs. Open-source LLM infra — inference + fine-tuning + dedicated GPUs + image/video/audio
Pricing tiers
Pinecone
Starter (Free)
2 GB storage, 2M write units/mo, 1M read units/mo, up to 5 indexes. us-east-1 AWS only.
Free
Standard
$50/month minimum. Unlimited storage ($0.33/GB/mo) + writes ($4-4.50/M) + reads ($16-18/M). 20 indexes/project. Multi-region, multi-cloud.
$50/mo
HIPAA Add-on
$190/month add-on for HIPAA-eligible workloads.
$190/mo
Enterprise
$500/month minimum. Higher per-unit rates for dedicated infra + SLA. 200 indexes.
$500/mo
Together AI
Pay-as-you-go
Per-token pricing for serverless inference. No minimum.
$0 base (usage-based)
Dedicated Endpoints
Single-tenant GPU endpoints billed hourly.
$0 base (usage-based)
Batch API (50% off)
50% discount for async batch processing on most serverless models.
$0 base (usage-based)
Reserved GPU Clusters
6+ day commitments with discounted reserved rates.
$0 base (usage-based)
Enterprise
Custom. Private deployments, VPC, SLAs, dedicated support.
Custom
Free-tier quotas head-to-head
Comparing starter on Pinecone vs payg on Together AI.
| Metric | Pinecone | Together AI |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Pinecone · 13 features
- Backups + PITR — Automated + manual backups.
- HIPAA Eligible — BAA available via add-on.
- Metadata Filtering — Filter vectors on metadata at query time.
- Monitoring — Metrics endpoint, export to Datadog/Prometheus.
- Namespaces — Multi-tenancy inside an index. Isolate vectors per customer.
- Pinecone Assistant — RAG-as-a-service: upload docs → get a ready chat endpoint.
- Pinecone Inference — Hosted embedding models (multilingual-e5, llama-text-embed-v2, etc.) inside data…
- Pod-Based Indexes — Dedicated pods (p1, s1, p2) for consistent low-latency workloads.
- Private Networking — AWS PrivateLink / VPC peering on Enterprise.
- RBAC — Per-project + per-API-key roles.
- Rerank (Cohere-backed) — Optional reranker on top of vector search.
- Serverless Indexes — Pay per use. No provisioning. Auto-scales.
- Sparse-Dense Vectors — Hybrid search: sparse (keyword) + dense (semantic) together.
Together AI · 14 features
- Audio (ASR + TTS) — Whisper Large v3 + Cartesia Sonic-3.
- Batch API — 50% discount for async processing.
- Code Interpreter — LLM with integrated code execution.
- Code Sandbox — Secure Python execution environment.
- Dedicated Endpoints — Single-tenant GPU endpoints for consistent latency.
- Embeddings — BGE + nomic + mxbai embedding models.
- Fine-Tuning — LoRA + full fine-tune + DPO on Llama, Qwen, Mistral.
- Image Generation — FLUX.2, SD3, Ideogram, etc.
- OpenAI-Compat API — Drop-in OpenAI SDK replacement.
- Private Deploy — Dedicated tenant + VPC.
- Reranker — Rerank model for RAG retrieval refinement.
- Reserved Clusters — Discounted GPU clusters for committed use.
- Serverless Inference — 200+ open models. OpenAI-compatible API.
- Video Generation — Veo 3.0, Kling 2.1, Vidu 2.0.
Developer interfaces
| Kind | Pinecone | Together AI |
|---|---|---|
| CLI | Pinecone CLI | Together CLI |
| SDK | go-pinecone, @pinecone-database/pinecone, pinecone-java-client, Pinecone.NET, pinecone (Python) | together-js, together-python |
| REST | Data Plane (per-index), Pinecone Control Plane | Code Sandbox / Interpreter, Dedicated Endpoints, Together REST API (OpenAI-compat) |
| MCP | Pinecone MCP | — |
Staxly is an independent catalog of developer platforms. Outbound links to Pinecone and Together AI are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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