Hugging Face vs Together AI: Token Pricing, Speed & Intelligence
Full comparison of Hugging Face and Together AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Hugging Face
Serverless Inference API — 150K+ open models including Llama, Qwen, and FLUX
Hugging Face is the central hub for open-source AI models, hosting 150K+ models across text, image, audio, and video. Its Serverless Inference API provides pay-per-request access to popular open-weight models including Llama 3.3 70B, Qwen 2.5 72B, and FLUX.1-dev — without managing infrastructure. Ideal for developers who want open-weights models without self-hosting.
Together AI
MiniMax M3, Kimi K3, GLM-5.3, DeepSeek V4 Pro, gpt-oss-120B — plus GB200/B200 GPU clusters
Together AI offers hosted inference for open-weight models, GPU clusters, provisioned throughput and fine-tuning. Compare listed rates and check the provider for current models, availability and terms.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Hugging Face
Together AI
Key differentiators
The world's largest open-model hub — Serverless Inference API gives instant pay-per-request access to Llama, Qwen, FLUX, and 150K+ other open-weight models without any infrastructure setup.
An open-weight model catalog — MiniMax M3, Kimi K3, GLM-5.3, DeepSeek V4 Pro, gpt-oss-120B — with GPU clusters (GB200/B200), Provisioned Throughput, and a Serverless Training API.
Frequently asked questions
Hugging Face FAQs
What is the Hugging Face Inference API?
The Hugging Face Serverless Inference API provides pay-per-request access to popular open-weight models including Llama 3.3 70B, Qwen 2.5 72B, and FLUX.1-dev. No infrastructure management required — just an API key.
How much does the Hugging Face API cost?
Serverless Inference API pricing varies by model. Llama 3.3 70B and Qwen 2.5 72B are $0.59/$0.79 per 1M input/output tokens. FLUX.1-dev is $0.025 per image. A free tier is available for low-volume use. See huggingface.co/pricing for current rates.
Can I use my own fine-tuned model on Hugging Face?
Yes. You can deploy your own fine-tuned model on Hugging Face Inference Endpoints (dedicated) or upload it to the Hub for Serverless Inference if it meets the supported architecture requirements.
Together AI FAQs
What new models did Together AI add in 2026?
Together AI expanded its catalog with MiniMax M3, Kimi K3, GLM-5.3, DeepSeek V4 Pro 0813, gpt-oss-120B, Muse Glimmer 30B, and the full Qwen3.x family. Check api.together.ai/models for current pricing.
How much does Together AI cost?
Together AI uses per-token pricing across its model catalog. Check api.together.ai/models for current rates on MiniMax M3, DeepSeek V4 Pro, GLM-5.3, Llama 3.3 70B, and other models.
Does Together AI offer GPU compute?
Yes. Together AI offers GPU clusters with H100, H200, B200, and GB200/GB300 NVL72 (contact sales). Check together.ai/pricing for current GPU compute rates.
Provider resources
Hugging Face — Serverless Inference API — 150K+ open models including Llama, Qwen, and FLUX
Hugging Face is the central hub for open-source AI models, hosting 150K+ models across text, image, audio, and video. Its Serverless Inference API provides pay-per-request access to popular open-weight models including Llama 3.3 70B, Qwen 2.5 72B, and FLUX.1-dev — without managing infrastructure. Ideal for developers who want open-weights models without self-hosting.
The world's largest open-model hub — Serverless Inference API gives instant pay-per-request access to Llama, Qwen, FLUX, and 150K+ other open-weight models without any infrastructure setup.
Together AI — MiniMax M3, Kimi K3, GLM-5.3, DeepSeek V4 Pro, gpt-oss-120B — plus GB200/B200 GPU clusters
Together AI offers hosted inference for open-weight models, GPU clusters, provisioned throughput and fine-tuning. Compare listed rates and check the provider for current models, availability and terms.
An open-weight model catalog — MiniMax M3, Kimi K3, GLM-5.3, DeepSeek V4 Pro, gpt-oss-120B — with GPU clusters (GB200/B200), Provisioned Throughput, and a Serverless Training API.
Key strengths compared
Hugging Face
- Largest open-model hub — 150K+ models across all modalities
- Serverless Inference API requires no infrastructure management
- Access to Llama, Qwen, Mistral, FLUX, and hundreds of other open-weight models
- Serverless API has cold-start latency for less popular models
- No proprietary frontier models — all hosted models are open-weight
Together AI
- Open-model catalog — MiniMax M3, Kimi K3, GLM-5.3, DeepSeek V4 Pro, gpt-oss-120B, Qwen3.x, Llama 4
- GB200/B200/H200/H100 GPU clusters with preemptible and reserved pricing
- Provisioned Throughput (PTUs) for SLA-backed capacity
- No proprietary frontier models
- Throughput lower than Groq/Cerebras for speed-critical apps
Key weaknesses compared
Hugging Face
- Serverless API has cold-start latency for less popular models
- No proprietary frontier models — all hosted models are open-weight
- Rate limits on free tier; dedicated endpoints required for production SLAs
- Pricing varies by model and can be less predictable than fixed-rate APIs
Together AI
- No proprietary frontier models
- Throughput lower than Groq/Cerebras for speed-critical apps
- Fine-tuning adds complexity vs. pure inference providers
Provider category context
Hugging Face is a open source host, founded in 2016. Together AI is a inference api, founded in 2022. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.
How to choose between them
Choose Hugging Face if you need Open-model inference. Choose Together AI if you need open-model catalog — minimax m3, kimi k3, glm-5.3, deepseek v4 pro, gpt-oss-120b, qwen3.x, llama 4. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.