Qwen: Qwen3.6 35B A3B
qwen/qwen3.6-35b-a3bQwen3.6-35B-A3B is an open-weight model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated attention. Served as a text-only TEE deployment via NEAR AI.
girdi
$0.20/M
çıktı
$1.27/M
bağlam
262K
oluşturuldu
26 May 2026
Desteklenen API yapısı
girdi
text
çıktı
text
araçlar
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json modu
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Doğrulama
imza
yanıt kimliği
attestasyon
GPU TEE
sağlayıcı
Phala
Provider
Phala
GPU TEE
girdi
$0.20/M
çıktı
$1.27/M
bağlam
262K
Daha fazla model
Diğer özel çıkarım rotaları.
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).
bağlam
66K
girdi
$0.15/M
Phala: Qwen3.6 35B-A3B Uncensored (Aggressive)
Uncensored "Aggressive" variant of Qwen3.6-35B-A3B from Alibaba's Qwen team. The fine-tune by HauhauCS removes refusal behaviors (0/465 refusals) without modifying datasets or core capabilities. The base architecture is a 35B-parameter Mixture-of-Experts model with 256 experts routing 8 per token (~3B active params), 40 layers, and a hybrid linear+full-softmax attention mechanism (3:1 ratio). Supports a native 262K context and is natively multimodal across text, images, and video. Served on Phala in TDX-attested H200 enclave with end-to-end ECDSA response signing; FP8 quantization by lamianlbe.
bağlam
131K
girdi
$0.30/M
Qwen: Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.
bağlam
262K
girdi
$0.30/M
Z.AI: GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
bağlam
203K
girdi
$0.10/M