Posts on X since 5 September 2026 say OpenAI is testing GPT-6 Sol, a faster sibling to GPT-6 Astra, and Sam Altman has promised a big launch this week plus six more for DevDay. We date every leak, check the “6x faster” claim, map OpenAI’s price and usage ladders, and show how quickly OpenAI usually ships smaller models.
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.
AIxploria listing pages are how a very large audience meets a new model for the first time, and Gemini 3.8 Flash got one at 03:16 UTC on 3 September 2026, roughly a day after Google shipped the model itself. The card sits at 4.4 out of 5 stars, carries 84 upvotes, and files Google’s newest […]
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 […]
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.
Alibaba open-weighted Qwen3.8-Flash-Next on 26 August 2026: a multimodal mixture-of-experts model with 125 billion parameters, a separate 51-billion-parameter N-gram embedding table, and just 6 billion parameters activated per token. This breakdown covers the four rebuilt subsystems — Gated DeltaNet paired with Qwen Sparse Attention at block granularity, a Gated Residual stream widened to four gated branches, the N-gram table that offloads to host RAM, and the Muon plus AdamW training recipe with batch-size warmup removed — alongside the 48-layer stack of 512 experts that fires eleven per token, the published benchmark table showing 62.5 on SWE-bench Pro against 53.4 for Claude Opus 4.6 and 84.5 on AndroidWorld against 62.0, the single loss on Humanity’s Last Exam at 35.9 against 40.0, the unverifiable one-ninth training cost claim, the 262,144-token native context extended to a million with YaRN, hosted pricing of $0.16 and $0.47 per million tokens against $2.00 and $6.00 for Qwen3.8-Max, the real hardware bill from a 172.78 GiB FP8 checkpoint down to a 111 GB four-bit GGUF, the qwen-community-1.0 licence that is not Apache 2.0, and a buyer’s checklist for treating a preview checkpoint as a production dependency.
AI token cost is the number almost every team gets wrong on the first attempt, and it is the number that decides whether an AI feature ships or quietly gets shelved. A prototype that costs a few pence per request feels free. The same prototype, wired into a product with twenty thousand users a month, […]
DeepSeek V4 is the MIT-licensed open-weight family that replaced the never-released R2, pairing a one-million-token context window with sub-dollar output pricing. This complete guide covers the V4 Pro 0813 and V4 Flash 0731 GA builds, their official benchmarks, the peak/off-peak billing change landing on 16 August 2026, and a practical framework for choosing between the two models.
GPT-5.6 Sol is OpenAI’s flagship model, launched publicly on 9 July 2026 alongside Terra and Luna. This guide maps the tier scheme, the full API price list including the 272K long-context surcharge, honest benchmarks against Anthropic’s Claude, and availability across ChatGPT plans and cloud platforms. It closes with what the Doug pre-training project and Astra signal about GPT-6.
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