inference provider · 8 models
Access 8 models served through Phala AI on AnonRouter's privacy-first gateway, including DeepSeek V4 Flash 0731, Gemma 4 26B A4B Uncensored, and GPT OSS 20B. Phala AI routes through an aggregator gateway that decrypts each request before forwarding it to the model, so Phala can see prompt content; AnonRouter strips the caller's identity before the request reaches it, and these routes carry no enclave attestation.
Models
8
Modalities
1
Text
From (input)
$0.04
per 1M tokens
Max context
1M
Private routes
8 / 8
not anonymous-only
DeepSeek V4 Flash is an efficiency-optimized 284B-parameter Mixture-of-Experts model with 13B active parameters and a 1M-token context window. Tuned for fast inference and high-throughput workloads while maintaining strong reasoning and coding performance.
Gemma 4 26B A4B Uncensored running in a Trusted Execution Environment (TEE). An uncensored variant of Google's Gemma 4 MoE model with 25.2B total / 3.8B active parameters, supporting multimodal input across text and images, with hardware attestation evidence available for independent verification.
GPT OSS 20B running in a Trusted Execution Environment (TEE). OpenAI's compact open-weight 21B MoE model with 3.6B active parameters, optimized for lower-latency inference, with hardware attestation evidence available for independent verification.
Qwen 2.5 7B Instruct running in a Trusted Execution Environment (TEE). A compact model with strong coding, math, and multilingual capabilities supporting 29+ languages, with hardware attestation evidence available for independent verification.
Qwen3.6 35B A3B Uncensored running in a Trusted Execution Environment (TEE). An uncensored variant of Alibaba's Qwen3.6 MoE model with 35B total parameters and ~3B active, supporting 262K context and multimodal input across text, images, and video, with hardware attestation evidence available for independent verification.
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.
GLM-5.3 Flash is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with visual context.
Muse Glimmer is a 30B multimodal agentic model distilled from Muse Spark — reasoning, tool use, and failure recovery in a single model that runs locally on consumer hardware.
