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Machine Learning · head to head

Pinecone vs Together AI

Pinecone logo

Pinecone

Machine Learning

Vector database for machine learning

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Pinecone reads and writes are billed on separate meters, and reads are far more expensive, at $16 to $18 per million against $4 to $4.50 for writes on Standard; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Pinecone covers Vector similarity search, Together AI covers Open-source models.

Where they differ

Only the attributes on which Pinecone and Together AI actually diverge.

Attributes where Pinecone and Together AI differ
AttributePineconeTogether AI
Pricing modelfreemiumusage-based
PlatformsWebApi, Cloud
CategoryMachine LearningAI
Founded20192022

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Pinecone

  • Vector similarity search
  • Metadata filtering
  • Namespace partitioning
  • Real-time updates
  • Hybrid search
  • OpenAI
  • Cohere
  • LangChain

Only in Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

What people use each for

The jobs each tool is most often brought in to do.

Pinecone

  • Vector database for AI/ML applicationsnot Together AI
  • Semantic search implementationnot Together AI
  • Recommendation systemsnot Together AI
  • RAG (Retrieval-Augmented Generation) architecturesnot Together AI

Together AI

  • LLM inference for production AI applicationsnot Pinecone
  • Content generation at scalenot Pinecone
  • Code execution and embeddingsnot Pinecone
  • Model fine-tuning and trainingnot Pinecone
  • Startup and enterprise AI deploymentnot Pinecone

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Pinecone

  • Reads and writes are billed on separate meters, and reads are far more expensive, at $16 to $18 per million against $4 to $4.50 for writes on Standard
  • Unit prices vary by region, so the same workload costs different amounts in different places
  • The Standard plan carries a $50 monthly minimum and Enterprise $500, charged whether or not the usage reaches it
  • Enterprise pays more per unit as well as more in minimum, at $24 to $27 per million reads against Standard's $16 to $18
  • Indexes and namespaces are capped by plan, at 5 indexes on the free tier and 20 on Standard
  • RBAC and SSO require the Standard plan

Together AI

  • Free tier limits not clearly specified in pricing documentation
  • Pricing varies significantly by model and use case
  • Requires account setup for production access
  • Batch API discounts apply only to non-urgent workloads

Pricing, plan by plan

Pinecone

Free
  • StarterFree
    • 2GB storage
    • 2M write units/month
    • 1M read units/month
  • Builder$20/month
    • 10GB storage
    • 5M write units
    • 2M read units
  • Standard$50/month
    • Unlimited storage ($0.33/GB/month)
    • 20 indexes per project
    • 100K namespaces
  • Enterprise$500/month
    • 99.95% uptime SLA
    • BYOC (Bring Your Own Cloud) option
    • Private endpoints

Together AI

Free
  • Serverless Inference$0.03/1M input tokens
    • Chat and Vision models
    • Image generation
    • Video generation
  • Provisioned Throughput$21600/month
    • Up to 83% savings vs commercial alternatives
    • Reserved capacity
    • Guaranteed throughput
  • Dedicated Inference$5.49/hour
    • H100 GPU instance
    • Single-tenant deployment
    • No resource sharing
  • GPU Clusters$3.99/GPU-hour
    • On-demand capacity
    • Volume discounts available
    • Reserved options with up to 35% savings

Which should you pick?

Choose Pinecone if

  • You need vector similarity search.
  • You want to start without paying.
  • You also want metadata filtering.
Pinecone review

Choose Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.
Together AI review

Questions people ask

Is Pinecone or Together AI better?
Neither clearly leads. Pinecone starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Pinecone or Together AI?
Pinecone starts at Free and Together AI at Free.
Does Pinecone or Together AI run on more platforms?
Pinecone runs on Web. Together AI runs on Api, Cloud.
Can I use Pinecone for free?
Both have a free tier, so you can try either at no cost before committing.
What is Pinecone best used for?
Pinecone is most often used for vector database for ai/ml applications, semantic search implementation, recommendation systems, rag (retrieval-augmented generation) architectures. Of those, vector database for ai/ml applications and semantic search implementation are not what Together AI is typically brought in for.
What can Pinecone do that Together AI cannot?
Pinecone covers Vector similarity search, Metadata filtering, Namespace partitioning, Real-time updates. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Pinecone: Does Pinecone offer a free plan?

Yes, Pinecone's Starter tier is free and includes 2GB storage, 2M write units/month, 1M read units/month, and supports up to 2 users and 1 project.

Source
Together AI: Does Together AI offer a free tier?

Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.

Source
Pinecone: What are Pinecone's storage costs on the Standard plan?

On the Standard plan, storage costs $0.33/GB per month. Read units cost $16-18 per million units; write units cost $4-4.50 per million units.

Source
Together AI: What are Together AI's highest model prices?

Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.

Source
Pinecone: What support options does Pinecone provide?

Starter tier includes community Discord support. Builder tier includes free support. Standard tier support costs $29/month for Developer or $250/month for Pro. Enterprise tier includes Pro support.

Source
Together AI: How much can I save with Provisioned Throughput?

Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.

Source
Together AI: What is Together AI's fine-tuning pricing?

Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.

Source
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