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Baseten vs TokenGO

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Baseten compared with TokenGO
Detail BasetenTokenGO logo TokenGO
What it doesInference platform for deploying AI models in production Self-operated inference API for open-weight LLMs and video models
StageEstablished Not given
Founded2019 Not given
Based inNot given US
Pricing modelPaid Paid
PricingBaseten offers three pricing tiers: Basic (pay-as-you-go starting at $0/month), Pro (with volume discounts available), and Enterprise (with custom SLAs and volume discounts). Compute pricing varies by GPU type, ranging from $0.00058/minute for CPU instances to $0.16633/minute for B200 GPUs. Model AP Standard (pay-as-you-go, under $1K/month): List price with unified API, cost monitoring, usage limits, unlimited seats. Growth ($1K-$15K/month): 20% volume discount, quarterly billing, priority support, SLA. Scale ($15K-$40K/month): 30% volume discount, dedicated support, DPA. Custom ($40K+/month):
Key features
  • Dedicated inference deployments
  • Pre-optimized model APIs
  • Multi-cloud deployment
  • Self-hosted and hybrid options
  • Training infrastructure with Loops SDK
  • Baseten Chains for compound AI
  • Advanced caching and decoding techniques
  • Baseten Embeddings Inference (BEI)
  • Forward-deployed engineering support
  • HIPAA and SOC 2 Type II compliance
  • Zero-retention privacy policy
  • Smart routing optimization
  • Hardware adaptation per request
  • Inference engine kernel optimization
  • KV cache layer for token reuse
  • Unified API across model catalog
  • Cost and usage monitoring
  • Volume-based tiered discounting
  • Data Processing Agreement available
What makes it different
  • 99.99% uptime with cross-cloud high availability
  • Fastest embeddings with 2x higher throughput
  • Pay only for compute in use, not idle time
  • Optimized inference stack with custom kernels and latest decoding techniques
  • Single API key for access to leading models like DeepSeek, Kimi, and Qwen
  • Enterprise uptime and service guarantees without separate integrations
  • Zero-retention privacy with US governance and DPA support
  • Cost-efficiency through kernel optimization adopted by frontier labs
  • No integration rewrite required for teams already using OpenAI-compatible APIs
Community votes00
DR (Domain Rating by Ahrefs)77 +1 (up) since last check17 no change since last check
Trust Flow (Majestic)344
Citation Flow (Majestic)5227
Referring domains (Majestic)422377

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