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1 September 2026

GLM-5.3: specs, benchmarks, and how to run it on Lyceum

GLM-5.3 is ZAI's latest MoE model, offering a 1M-token context window and emergent cyber capabilities for agentic workflows. It is available on Serverless Inference via a drop-in OpenAI-compatible API, billed purely per token.

18 September 2026

DeepSeek-V4.1-Flash: specs, benchmarks, and how to run it

DeepSeek-V4.1-Flash is live on Lyceum Serverless Inference: this page covers what changed, what it costs per token ($0.50 input, $0.13 cached, $1.50 output per 1M) and the exact request to send. Architecture and benchmark figures are DeepSeek's own, vendor-reported.

1 September 2026

Qwen3.8 Flash Next: specs, benchmarks and Lyceum API

Qwen3.8 Flash Next is a multimodal MoE model previewing the Qwen4 architecture, activating just 6B parameters per token for high-efficiency agent workflows. It is available on Lyceum Serverless Inference via an OpenAI-compatible API with no infrastructure overhead.

1 September 2026

Qwen3.8 27B: specs, benchmarks, and how to run it on Lyceum

Qwen3.8 27B is a 27-billion-parameter dense multimodal model offering a 256K context window. Now available on Lyceum Serverless Inference, it supports prompt caching and built-in reasoning traces for complex agentic workloads at $0.40 per 1M input tokens.

1 September 2026

Qwen3.8 2.4T A95B: specs, benchmarks, and how to run it on Lyceum

Qwen3.8 2.4T A95B is the new open-weight flagship, featuring a 256K context window and a hybrid-attention MoE architecture. It is available now on Lyceum Serverless Inference via an OpenAI-compatible API, billed per token with zero provisioning overhead.

1 September 2026

GLM-5.3 Flash: specs, benchmarks, and how to run it on Lyceum

GLM-5.3 Flash is ZAI's highly efficient MoE model, featuring 18B active parameters and a 1M-token context window. Available now on Lyceum Serverless Inference, it delivers frontier coding and agentic capabilities starting at $0.05 per 1M cached input tokens.

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