Baseten vs Hugging Face Inference Providers
Baseten posts the lowest measured time to first token on a 13-model catalog. Hugging Face can route to Baseten or 16 other hosts, billing each at cost.
By The Subconscious Team · Updated
Baseten vs Hugging Face Inference Providers: key differences
Baseten is another Hugging Face partner, so traffic can reach it either way. Direct, Baseten's Model APIs serve 13 curated open models, including GLM 5.2, DeepSeek V4, Kimi K3 and gpt-oss 120B, over endpoints that speak both OpenAI Chat Completions and Anthropic Messages. It posted the lowest time to first token on the Artificial Analysis provider board in August 2026, 0.49 seconds, and its KV cache-aware routing pays off on agentic coding traffic. Hugging Face's compatible endpoint speaks only the OpenAI chat shape and adds a network hop, which eats into that latency lead. What it adds is scope: 132 chat models across 17 hosts, including many off Baseten's list, at provider rates with no markup.
Deployment depth favors Baseten. Dedicated deployments take any model packaged with the Truss CLI, bill per GPU minute with an H100 at about $6.50 an hour, and scale to zero under a 99.99% uptime SLA. Self-host, HIPAA and data residency options suit regulated buyers, and model labs can run white-label APIs on it. Hugging Face's dedicated equivalent is Inference Endpoints, per-minute billing on AWS, GCP or Azure with vLLM, SGLang, TGI or llama.cpp, from $0.50 an hour for a T4. The router itself has no fine-tuning. Pick Baseten when the model is on its list and latency counts, or when custom models need a production home. Pick Hugging Face to reach a wider catalog with failover.
What Baseten and Hugging Face Inference Providers do
Baseten
Baseten runs two products. Model APIs serve a curated set of 13 open models, including DeepSeek V4, GLM 5.2, Kimi K3 and gpt-oss 120B, over endpoints that speak both the OpenAI Chat Completions shape and the Anthropic Messages shape. That dual compatibility means an existing OpenAI or Claude SDK, or a coding agent, points at Baseten with a base URL change. Dedicated deployments take any model you package with the open-source Truss CLI and bill per GPU minute, with an H100 at about $6.50 an hour.
Example models: GLM 5.2, gpt-oss 120B
Full Baseten profileHugging Face Inference Providers
Inference Providers is a router run by Hugging Face that sits in front of partner inference clouds. The current partner list covers Baseten, Cerebras, Cohere, DeepInfra, fal, Featherless AI, Fireworks, Groq, Novita, Nscale, OVHcloud, Public AI, Replicate, Scaleway, Together, WaveSpeedAI and Z.ai, plus Hugging Face's own HF Inference, which now mostly serves CPU workloads like embeddings and classification. Chat traffic goes through an OpenAI-compatible endpoint at router.huggingface.co/v1, and the Python and JavaScript clients add text-to-image, video, speech and embeddings. The router lists 132 chat models today, from GLM 5.3 and Kimi K3 to gpt-oss-120b on eleven providers.
Example models: GLM 5.3, Kimi K3, gpt-oss-120b
Full Hugging Face Inference Providers profileShould you choose Baseten or Hugging Face Inference Providers?
Baseten
Choose Baseten for
- Lowest time to first token on its catalog
- Anthropic-compatible endpoints for coding agents
- Private fine-tunes on dedicated GPUs with an SLA
Hugging Face Inference Providers
Choose Hugging Face Inference Providers for
- Models outside Baseten's 13-model list
- Automatic failover across hosts
- Low-cost dedicated Endpoints from $0.50 an hour
Baseten vs Hugging Face Inference Providers at a glance
| Attribute | ||
|---|---|---|
| Model access | Open weights, 13 curated | Open weights |
| Flagship models | GLM 5.2, DeepSeek V4, Kimi K3, gpt-oss 120B | GLM 5.3, Kimi K3, DeepSeek V4.1 Flash |
| Speed | 0.49s TTFT, lowest measured | Routes to fastest provider by default |
| Price | H100 about $6.50/hr dedicated | Provider rates, no markup |
| Customization | Deploy any model with Truss | N/A |
| Deployment | Model APIs, dedicated, self-host | Serverless router; dedicated Endpoints |
| Long context | Varies by model | Up to 1M, provider-dependent |
Frequently asked questions
What is the difference between Baseten and Hugging Face Inference Providers?
Baseten posts the lowest measured time to first token on a 13-model catalog. Hugging Face can route to Baseten or 16 other hosts, billing each at cost.
When should I choose Baseten over Hugging Face Inference Providers?
Lowest time to first token on its catalog; Anthropic-compatible endpoints for coding agents; Private fine-tunes on dedicated GPUs with an SLA.
When should I choose Hugging Face Inference Providers over Baseten?
Models outside Baseten's 13-model list; Automatic failover across hosts; Low-cost dedicated Endpoints from $0.50 an hour.
Is Baseten or Hugging Face Inference Providers cheaper?
Baseten: H100 about $6.50/hr dedicated. Hugging Face Inference Providers: Provider rates, no markup. The cheaper choice depends on the model and workload.
Which has more context, Baseten or Hugging Face Inference Providers?
Baseten: Varies by model. Hugging Face Inference Providers: Up to 1M, provider-dependent.
Related comparisons
Subconscious vs Baseten
OpenAI vs Baseten
Anthropic vs Baseten
Google Vertex AI vs Baseten
Amazon Bedrock vs Baseten
Together AI vs Baseten
Subconscious vs Hugging Face Inference Providers
OpenAI vs Hugging Face Inference Providers
Anthropic vs Hugging Face Inference Providers
Google Vertex AI vs Hugging Face Inference Providers
Amazon Bedrock vs Hugging Face Inference Providers
Together AI vs Hugging Face Inference Providers
Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.