DeepSeek: DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash. It supports text and image input, text output, reasoning, tool calling, JSON object output, and a 1,048,576-token context.
Supported API shape
input
text · image
output
text
max output tokens
393,216
tools
Supported
json mode
Not listed
Verification
Available evidence. Use a verified client to authenticate the quote, connection, and receipt.
Verify private inferencereceipt
signed receipt + hashes
attestation
gateway report
session
attested upstream
serving provider
read from receipt session
Provider
Phala
GPU TEE
input
$0.75/M
output
$1.60/M
cache read
$0.15/M
context
1.0M
Performance comparison
Last 72h · UTCMore models
Other private inference routes.
Jared Palmer: Kev 4B
Kev 4B is an open-weight System One model from Jared Palmer, fine-tuned from Qwen3.5 4B Base. It makes fast, structured decisions for software: given a state and typed questions, it returns calibrated answers instead of text, as a yes/no probability (noul), a pick among options (choice), or a level on a scale (score). Call it through POST /v1/systemone, compatible with the TypeSafe SDK; it does not serve chat. Served on Phala in a TDX-attested enclave with an 8,192-token context.
context
8K
input
$0.042/M
Phala: Qwen3.8 27B Uncensored (Aggressive)
HauhauCS Qwen3.8-27B Uncensored Aggressive, using the pinned Q8_K_P GGUF and BF16 vision projector. Served with SGLang on a Phala TDX-attested H200, with text and image input and a 262144-token context.
context
262K
input
$0.30/M
$0.05/M cache read
Qwen: Qwen3.8 27B
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled. Served on Phala in a TDX-attested enclave.
context
1M
input
$0.20/M
$0.05/M cache read
Phala: Gemma-4 26B-A4B Uncensored (Heretic)
Uncensored "Heretic" variant of google/gemma-4-26B-A4B-it created using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method and row-norm preservation. Refusals drop from 100/100 to 11/100 with KL divergence 0.0499 vs the base model. The base Gemma 4 26B A4B is a Mixture-of-Experts model with 25.2B total / 3.8B active parameters (8 active / 128 total experts), 30-layer transformer with hybrid local sliding (1024) + global attention, supporting a 256K context window. Natively multimodal (text + images, variable aspect ratios). Strong on coding, reasoning, function calling, with native system prompt support across 35+ languages. Served on Phala in TDX-attested H200 enclave with end-to-end ECDSA response signing; vLLM-compatible FP8-Static quantization by cloud19 (router excluded from quantization).
context
262K
input
$0.15/M
$0.05/M cache read