Terminal-Bench

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DeepSeek V4.1 Flash 552B MoE Model Released on Hugging Face. It Beats V4 Pro on Agents and Trails It on Knowledge

DeepSeek released V4.1 Flash on Hugging Face on 10 September 2026: a 552B mixture-of-experts model under the MIT licence that activates 8B parameters to read and 16B to write, stores its global KV cache in 890 bytes per token, and replaces V4 Pro for every API caller from 04:00 UTC on 14 September. Its own model card shows it leading V4 Pro on all 12 agentic rows and trailing it on 12 of 16 base-model rows, including a 12.9-point gap on SimpleQA-Verified. This breakdown covers the causal encoder-decoder architecture, the KV cache arithmetic, the new price sheet with a worked agent bill, the 511 GB checkpoint and 614 GB serving floor, the mismatched reasoning-effort aliases, and a pre-cutover checklist.

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Anthropic Launches Claude Fable 5.1 and Claude Mythos 5.1

Mythos 5.1 is the version of Anthropic’s newest frontier model that almost nobody is allowed to use. In September 2026 the company announced Claude Fable 5.1 and Claude Mythos 5.1 together, and it is unusually direct about what separates them: nothing at all, except the safeguards wrapped around the weights. Fable 5.1 is generally available. […]

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New AI Tool: Claude Fable 5.1 Has Just Landed on AIxploria

Claude Fable 5.1 is now listed on AIxploria, the AI tools directory that catalogues thousands of AI sites across more than fifty categories. The new card sits at number one on the directory’s “Latest AI” feed, carries a Gold Verified badge, is priced “Paid”, and files Anthropic’s frontier model under LLM models and SuperTools. For […]

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GLM-5.3-Flash: The 320B Open-Weight Model That Ran on Chinese Chips

Z.ai spent six days serving an anonymous model called Ox Alpha on OpenRouter, took nearly 20% of the platform’s weekly token share, and only then revealed it was GLM-5.3-Flash — a 320B mixture-of-experts model with 18B active parameters, a one-million-token context window and MIT-licensed weights. This piece works through the hybrid attention architecture, what the benchmark table supports and what it does not, what the API actually costs once the launch promotion ends, how credible the domestic-silicon claim is, and what any of it changes for a business choosing a model this quarter.

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Tencent Releases Hy4 preview: An Open-Weight MoE Model With a 1M Context Window

Tencent open-sourced Hy4 preview on 28 August 2026 under Apache 2.0: a 770B Mixture-of-Experts model that activates just 49B parameters per token and reads a one-million-token context window. This breakdown covers the full architecture, from 256 routed experts per layer to Gated DeepSeek Sparse Attention and the built-in speculative decoding layer; every benchmark figure Tencent published, including the 163-expert blind evaluation against GLM 5.3 and Kimi K3; the API price list against GPT-5.6 Sol; the eight-GPU serving recipes; and the four caveats worth naming before any of it reaches production.

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