Baseten vs Together AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-14
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At a glance

DimensionBasetenTogether AI
Pricingfreemium · from Basic $0/mo + pay as you gofreemium · from Serverless Inference Per 1M tokens (from $0.00)
Best forEngineering teams serving proprietary, fine-tuned, or open-source models in production, Voice and transcription products with sub-300ms latency requirementsProduction coding agents and high-throughput apps running open models like DeepSeek V4 Pro or Kimi K3, Batch jobs processing enormous token volumes — up to 30B tokens per model asynchronously
Standout featuresDedicated GPU inference on T4, L4, A10G, A100, H100, and B200 instances · Per-minute GPU billing with no charge for idle time · Pre-optimized Model APIs served through OpenAI-compatible endpointsServerless inference APIs across 100+ open-source models · Batch inference scaling to 30 billion tokens per model · Provisioned Throughput with reserved capacity and a 99% uptime SLA
Viability score93/10088/100
APIYesYes

Baseten is the stronger pick for engineering teams serving proprietary, fine-tuned, or open-source models in production; Together AI fits better for production coding agents and high-throughput apps running open models like deepseek v4 pro or kimi k3.

Built from live tool data, last verified 2026-09-14.

Baseten
Baseten

Baseten is an AI inference platform for deploying custom, fine-tuned, and open-source models on dedicated GPUs at production scale.

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Together AI
Together AI

Together AI runs serverless inference on 100+ open-source LLMs plus GPU clusters for training and fine-tuning.

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Pricing
Freemium
Freemium
Plans
$0/mo + pay as you go
Volume discounts available
Volume discounts available
Per 1M tokens (from $0.00)
Per 1M tokens (batch rates)
Contact sales
Contact sales
Contact sales
Contact sales
Contact sales
Contact sales
Popularity
5.2k views
3.6k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebAPICLI
WebAPI
Categories
🖥️ GPU Cloud & Model Inference
🖥️ GPU Cloud & Model Inference
Features
Dedicated GPU inference on T4, L4, A10G, A100, H100, and B200 instances
Per-minute GPU billing with no charge for idle time
Pre-optimized Model APIs served through OpenAI-compatible endpoints
GLM-5.3 with 1M-token context and selectable reasoning levels
DeepSeek V4 Pro 0813 and Kimi K3 via Model APIs
Baseten Chains for compound AI with per-step hardware autoscaling
Real-time audio streaming for text-to-speech with low time to first byte
Transcription with speaker diarization
Image generation with custom models or ComfyUI workflows
Baseten Embeddings Inference with 2x throughput and 10% lower latency
Training on GPU instances with the Loops SDK and one-click deploy to inference
Deploy any framework via Truss, the open-source model packaging standard
Runtime OIDC authentication to cloud providers using short-lived tokens
Org-scoped API key management and observability APIs for logs, metrics, and audit data
Self-hosted, hybrid, and Baseten Cloud deployment options
Serverless inference APIs across 100+ open-source models
Batch inference scaling to 30 billion tokens per model
Provisioned Throughput with reserved capacity and a 99% uptime SLA
Dedicated Model Inference on custom GPU hardware
Dedicated Container Inference for video, audio, and image models
Voice Agents for building production voice agents via API
Chat, vision, image, audio, video, transcribe, embeddings, rerank, and moderation endpoints
On-demand NVIDIA B200 GPUs on Together GPU Clusters
GPU clusters with GB300, GB200, H200, and H100
AI Factory custom infrastructure at frontier scale
Fine-tuning with FlashAttention and ATLAS research kernels
Custom training with reinforcement learning support
Evaluations to measure model quality before shipping
Managed Storage with object storage, parallel filesystems, and zero egress fees
Sandbox development environments via the CodeSandbox SDK
Integrations
MCP
Slack
Zoom
Datadog
Grafana Cloud
CodeSandbox
Hugging Face
Weights & Biases
LangChain
LlamaIndex

What real users say: Baseten vs Together AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Baseten

63 mentions across 4 sources · 55% positive — mixed (weighted across 4 sources)

Hacker News, YouTube, Product Hunt, Lemmy

What users praise

  • • Named alongside Modal, Fireworks, and Together as a credible independent inference host
  • • Former engineer confirms zero-data-retention is genuinely enforced, not just marketing
  • • Dedicated GPU options from T4 to B200 give fine-grained hardware control
  • • Pre-optimized Model APIs with OpenAI-compatible endpoints simplify frontier-model access

What frustrates them

  • • A customer reportedly obtained admin access to Baseten's GitHub, raising serious security questions
  • • Thin ~$15M ARR against a $5B valuation invites skepticism about long-term stability
  • • Advanced, CLI-first platform with little hand-holding — unsuitable for non-engineers
  • • Recent Bloomberg coverage generated more valuation snark than product substance

Researched Sep 14, 2026

Together AI

75 mentions across 4 sources · 63% positive — mixed (averaged across 4 sources)

Hacker News, Bluesky, Stack Overflow, Lemmy

What users praise

  • • Supports 100+ open-source models with easy API integration.
  • • Offers per-token pricing that is cheaper than Claude Opus by 76%.
  • • Provides 31% more tokens per second than TensorRT-LLM.
  • • Includes free $25 credit for new users to test models.

What frustrates them

  • • Pricing may be VC-subsidized and could increase drastically.
  • • Limited community feedback on support quality and uptime.
  • • No ongoing free tier beyond initial trial credits.
  • • Primarily benefits developers already comfortable with open-weight models.

Researched Jul 6, 2026

Frequently Asked Questions

Which is better, Baseten or Together AI?

The best choice between Baseten and Together AI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Baseten and Together AI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Baseten or Together AI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Baseten
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Last reviewed: May 12, 2026