Compare LLM API pricing across providers and models
Private AI inference and confidential GPU computing infrastructure
Stage
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Founded
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Based in
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US
Pricing model
Free
Paid
Pricing
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Confidential Inference: DeepSeek V4.1 Flash $0.30 input and $1.20 output per 1M tokens; Kimi K3 $3.00 input and $15.00 output per 1M tokens; GLM 5.3 $1.40 input and $4.40 output per 1M tokens; Qwen3.8 27B $0.30 input and $1.80 output per 1M tokens. Confidential VMs: B300 at $7.50 per GPU-hour, B200
Key features
Compare pricing across 234 LLM providers
View input, output and cached token pricing
Track 628 LLM models
Access source-linked pricing information
Calculate monthly API budget
View pricing by context window
Filter by popular models
OpenAI-compatible endpoint for private LLM inference
Hardware-encrypted VMs on Intel TDX, AMD SEV-SNP and NVIDIA GPUs
Client attestation verification before sending requests
Support for multiple open-weight models including DeepSeek, Kimi, GLM, Qwen
Confidential Kubernetes for data center scale deployments
Confidential training and fine-tuning on licensed stack
Root access over SSH to confidential VMs
Encrypted GPU communications with NVLink encryption on B200 and B300
Confidential agents runtime support
Prompt caching with cached input billing
What makes it different
All pricing sourced with transparent links to original provider pages
Covers 9,593 pricing offers across models and providers
Separates input, output and cache-read pricing
Includes context window metadata for each model
Prompts and model weights verified by clients with cryptographic attestation before any data is sent
Operator-blind inference: data remains unreadable to the company and hosting provider
Flexible deployment: choice of hosted cloud, rented VMs, or licensed stack on own infrastructure
Open-weight models only, no closed-source frontier models
Full cryptographic verification stack including open-source tools
TokenPricing
Confidential AI