Modèles
PrêtGPU TEE

OpenAI: GPT OSS 20B

ID du modèleopenai/gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for lower-latency inference and deployability on consumer or single-GPU hardware. The model is trained in OpenAI’s Harmony response format and supports reasoning level configuration, fine-tuning, and agentic capabilities including function calling, tool use, and structured outputs.

entrée

$0.04/M

sortie

$0.15/M

contexte

131K

créé

3 oct. 2025

Forme d’API prise en charge

entrée

text

sortie

text

outils

Pris en charge

mode JSON

Pris en charge

Vérification

signature

ID de réponse

attestation

GPU TEE

fournisseur

Phala

Provider

Phala

GPU TEE

entrée

$0.04/M

sortie

$0.15/M

contexte

131K

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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).

contexte

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entrée

$0.15/M

chiffré

Phala: Qwen3.6 35B-A3B Uncensored (Aggressive)

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contexte

131K

entrée

$0.30/M

chiffré

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.

contexte

262K

entrée

$0.30/M

chiffré

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.

contexte

203K

entrée

$0.10/M