Together AI vs Pinecone
Open-source LLM infra — inference + fine-tuning + dedicated GPUs + image/video/audio
vs. Managed vector database for AI — RAG, semantic search, recommendations
Pricing tiers
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
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
Free-tier quotas head-to-head
Comparing payg on Together AI vs starter on Pinecone.
| Metric | Together AI | Pinecone |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
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.
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.
Developer interfaces
| Kind | Together AI | Pinecone |
|---|---|---|
| CLI | Together CLI | Pinecone CLI |
| SDK | together-js, together-python | go-pinecone, @pinecone-database/pinecone, pinecone-java-client, Pinecone.NET, pinecone (Python) |
| REST | Code Sandbox / Interpreter, Dedicated Endpoints, Together REST API (OpenAI-compat) | Data Plane (per-index), Pinecone Control Plane |
| MCP | — | Pinecone MCP |
Staxly is an independent catalog of developer platforms. Outbound links to Together AI and Pinecone are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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