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    <title>Minerka — Models</title>
    <link>https://minerka.com/library/models/</link>
    <description>The systems themselves: assistants, open weights, and specialists. Name the layer before you repeat the claim.</description>
    <lastBuildDate>Mon, 02 Nov 2026 11:29:44 +0000</lastBuildDate>
    <item>
      <title>Mistral releases the weights for Large 4 (Le Chonk), a 1T-parameter open model</title>
      <link>https://minerka.com/stories/mistral-large-4-oss/</link>
      <guid>https://minerka.com/stories/mistral-large-4-oss/</guid>
      <description>On October 29, 2026, Mistral released open weights for Mistral Large 4, its 1-trillion-parameter multimodal Mixture-of-Experts model with about 49 billion active parameters per token. Mistral says the model scores 41 percent on Terminal-Bench 4.0 and 48 percent on the Artificial Analysis Coding Agent Index while using 47 percent fewer tokens than GLM-5.3 on that index. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 29, 2026</pubDate>
    </item><item>
      <title>A claimed ~14T Anthropic “numbat” checkpoint on Hugging Face has 43 tensors that match a name-seeded RNG</title>
      <link>https://minerka.com/stories/hf-numbat-synthetic-weights/</link>
      <guid>https://minerka.com/stories/hf-numbat-synthetic-weights/</guid>
      <description>A Hugging Face upload, burner22/numbat, claims about 14 trillion parameters as a mid-pretraining Anthropic Mythos-class checkpoint. Hugging Face’s automatic count shows about 6.8T. On November 1, 2026, a community audit on the repo’s discussion #13 reported that 43 complete tensors — 730,368 BF16 values — regenerate bit-for-bit from a NumPy PCG64 recipe seeded by each tensor’s name, at revision 6b7f8fc. Anthropic is not a publisher on the card. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>November 1, 2026</pubDate>
    </item><item>
      <title>Gemini 4 Carbon lists at $2/$10 — not on the public API yet; DeepMind claims Index v5 lead at 59</title>
      <link>https://minerka.com/stories/gemini-4-carbon/</link>
      <guid>https://minerka.com/stories/gemini-4-carbon/</guid>
      <description>On October 28, 2026, Google DeepMind announced Gemini 4 Carbon. DeepMind says it ranks first on Artificial Analysis Intelligence Index v5 at 59. The introductory price is $2 per million input tokens and $10 per million output tokens. It is not on the public API yet. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 28, 2026</pubDate>
    </item><item>
      <title>NVIDIA posts an open transcription model, 4 billion parameters active, at 5.33 percent word error</title>
      <link>https://minerka.com/stories/nemotron-3-5-transcribe/</link>
      <guid>https://minerka.com/stories/nemotron-3-5-transcribe/</guid>
      <description>On October 28, 2026, NVIDIA released Nemotron 3.5 Transcribe, an open-weight speech model. About 4 billion of its 30 billion parameters are active. On the Hugging Face English leaderboard, among open-weight models, the average word error is 5.33 percent. The post does not name the license. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 28, 2026</pubDate>
    </item><item>
      <title>Ai2 finds a novelty judge can fall from 93.5 percent to 40.9 percent when the prompt changes</title>
      <link>https://minerka.com/stories/ai2-novelty-judges/</link>
      <guid>https://minerka.com/stories/ai2-novelty-judges/</guid>
      <description>On October 27, 2026, the Allen Institute for AI released a study of models that score whether a research idea is new. For GPT-5.4, one prompt scored 93.5 percent on pairs of human and generated ideas. A shorter prompt on the same pairs scored 40.9 percent. A simple Claude Opus 4.6 prompt cost $2.59 and beat two purpose-built judges that cost $30.66 and $82.05. Start here (ranks, prices, unknown): https://minerka.com/learn/</description>
      <pubDate>October 27, 2026</pubDate>
    </item><item>
      <title>CUDA 13.4 can refuse a GPU allocation that crosses a memory limit</title>
      <link>https://minerka.com/stories/cuda-13-4-gpu-fraction/</link>
      <guid>https://minerka.com/stories/cuda-13-4-gpu-fraction/</guid>
      <description>On October 27, 2026, NVIDIA said CUDA 13.4 enforces a per-workload GPU memory boundary. A job can ask for an exact size, and an allocation past that size fails. KAI Scheduler v0.18.0 can write that limit from Kubernetes. Time-slicing keeps each job in its own error domain. The parallel mode does not. Start here (ranks, prices, unknown): https://minerka.com/learn/</description>
      <pubDate>October 27, 2026</pubDate>
    </item><item>
      <title>Liquid AI ships LFM3, a 1.7 billion parameter model that beats its larger predecessor</title>
      <link>https://minerka.com/stories/lfm3/</link>
      <guid>https://minerka.com/stories/lfm3/</guid>
      <description>On October 27, 2026, Liquid AI released LFM3, six models in the 2 billion parameter range on one backbone. Liquid says LFM3-1.7B beats LFM2.5-2.6B with 35 percent fewer parameters. On WebArena-Verified the score is 38.42, against 3.02 for the predecessor. The weights are on Hugging Face. The post does not name the license. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 27, 2026</pubDate>
    </item><item>
      <title>DeepMind shows Genie 4 to trusted testers, with Gemini 3.8 Flash steering the world</title>
      <link>https://minerka.com/stories/genie-4/</link>
      <guid>https://minerka.com/stories/genie-4/</guid>
      <description>On October 27, 2026, Google DeepMind announced Genie 4, a world model that generates a scene and its sound together. It is a research preview for trusted testers. DeepMind says Gemini 3.8 Flash watches the frames and checks that each step happened. The post does not give a frame rate or a resolution, and the model is not in the public API. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — Agents, loops, and tools: https://minerka.com/guide/frameworks/</description>
      <pubDate>October 27, 2026</pubDate>
    </item><item>
      <title>NVIDIA says the 4 GB Nemotron Bolt model is available, and uses fewer tokens</title>
      <link>https://minerka.com/stories/nemotron-bolt-e4b/</link>
      <guid>https://minerka.com/stories/nemotron-bolt-e4b/</guid>
      <description>On October 27, 2026, NVIDIA said Nemotron 3.5 Bolt E4B, the 4 GB model, is available for on-device game characters. NVIDIA says it is about 40 percent higher quality than its prior model on the benchmarks it chose, and that it writes up to about 80 percent fewer tokens than unnamed peers. The context window is 64,000 tokens. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 27, 2026</pubDate>
    </item><item>
      <title>GPT-6.1 Terra is $1 and $5 per million tokens, and OpenAI&#x27;s coding score more than doubles</title>
      <link>https://minerka.com/stories/gpt-6-1-terra/</link>
      <guid>https://minerka.com/stories/gpt-6-1-terra/</guid>
      <description>OpenAI released GPT-6.1 Terra on October 26. Standard API prices are $1 per million input tokens, $0.05 cached, and $5 per million output tokens, which OpenAI says is half the price of GPT-5.6 Terra and GPT-6.1 Sol. On OpenAI&#x27;s Terminal-Bench 4.0 row, the max-effort score is 50.3 percent, against 21.5 percent for GPT-5.6 Terra. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 26, 2026</pubDate>
    </item><item>
      <title>Anthropic filed a public S-1 and named the ticker ANT</title>
      <link>https://minerka.com/stories/anthropic-s1/</link>
      <guid>https://minerka.com/stories/anthropic-s1/</guid>
      <description>On October 26, 2026, Anthropic filed a Form S-1 for a proposed initial public offering of Class A common stock. It intends to list on the Nasdaq Global Select Market under the symbol ANT. The number of shares and the price range are not set, and the registration is not yet effective. Start here (ranks, prices, unknown): https://minerka.com/learn/</description>
      <pubDate>October 26, 2026</pubDate>
    </item><item>
      <title>Kimi K3.1 Pro posts 65.7 percent on Terminal-Bench, with weights due by November 4</title>
      <link>https://minerka.com/stories/kimi-k3-1-pro/</link>
      <guid>https://minerka.com/stories/kimi-k3-1-pro/</guid>
      <description>Moonshot released Kimi K3.1 Pro on October 24, a post-trained Kimi K3 it calls a 3-trillion-class model, with a 1 million token context. On Moonshot&#x27;s Terminal-Bench 4.0 row it scores 65.7 percent, ahead of GPT-6 Astra at 58.2 and just behind Claude Opus 5.5 at 66.4. The weights are not on the page. Moonshot says they will be released by November 4. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 24, 2026</pubDate>
    </item><item>
      <title>Epoch grades two leading models at 65 percent of its own work standard</title>
      <link>https://minerka.com/stories/epoch-automation-reports/</link>
      <guid>https://minerka.com/stories/epoch-automation-reports/</guid>
      <description>Epoch AI scored models on tasks from its own work. Claude Fable 5.1 and GPT-6 Astra each averaged 65 percent of the rubric. Epoch says 100 percent is the line at which a task can be handed over, and that a 65 percent result is still a failed task. Start here (ranks, prices, unknown): https://minerka.com/learn/</description>
      <pubDate>October 8, 2026</pubDate>
    </item><item>
      <title>Mirendil says one researcher pretrained a coding model for under $10 million</title>
      <link>https://minerka.com/stories/mirendil-base/</link>
      <guid>https://minerka.com/stories/mirendil-base/</guid>
      <description>On October 21, 2026, Mirendil said one researcher, working with agents, pretrained Mirendil-Base in 3.5 months for less than $10 million in compute. The post puts the model in the 100 to 500 billion parameter range. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 21, 2026</pubDate>
    </item><item>
      <title>Mistral prices Voxtral 3, including a 4B transcription model at $0.0035 a minute</title>
      <link>https://minerka.com/stories/voxtral-3/</link>
      <guid>https://minerka.com/stories/voxtral-3/</guid>
      <description>On October 20, 2026, Mistral released Voxtral 3, speech models plus a voice-agent SDK. Voxtral Mini Transcribe 3 is 4 billion parameters at $0.0035 a minute. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 20, 2026</pubDate>
    </item><item>
      <title>MiniMax posts M3.1-Flash, about 428B parameters with 23B active</title>
      <link>https://minerka.com/stories/minimax-m3-1-flash/</link>
      <guid>https://minerka.com/stories/minimax-m3-1-flash/</guid>
      <description>The MiniMax-M3.1-Flash card lists about 428 billion parameters, 23 billion active per token, and a 1 million token context. The license name on the card is MiniMax Community. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — Agents, loops, and tools: https://minerka.com/guide/frameworks/</description>
      <pubDate>October 17, 2026</pubDate>
    </item><item>
      <title>DeepSeek posts a 763B MIT checkpoint, V4.1-Flash-1017</title>
      <link>https://minerka.com/stories/deepseek-v4-1-flash-1017/</link>
      <guid>https://minerka.com/stories/deepseek-v4-1-flash-1017/</guid>
      <description>On October 17, 2026, DeepSeek shipped V4.1-Flash-1017 on its website, app, and API under the name deepseek-flash, and published MIT weights. The card lists 763 billion parameters and a 1 million token context. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 17, 2026</pubDate>
    </item><item>
      <title>Mistral releases Timestral, a 209M model for forecasts</title>
      <link>https://minerka.com/stories/mistral-timestral/</link>
      <guid>https://minerka.com/stories/mistral-timestral/</guid>
      <description>On October 15, 2026, Mistral released Timestral in four sizes, from 5 million to 209 million parameters. The license on the post is a modified MIT. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 15, 2026</pubDate>
    </item><item>
      <title>Reflection releases Beam, a 501B open model under Apache 2.0</title>
      <link>https://minerka.com/stories/reflection-beam/</link>
      <guid>https://minerka.com/stories/reflection-beam/</guid>
      <description>On October 16, Reflection published Beam&#x27;s weights. The model has 501 billion parameters, about 23 billion active, and a 1 million token context. The license is Apache 2.0. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — Agents, loops, and tools: https://minerka.com/guide/frameworks/</description>
      <pubDate>October 16, 2026</pubDate>
    </item><item>
      <title>Meta releases Muse Spark Open, an 816B model that runs on two Mac Studios</title>
      <link>https://minerka.com/stories/muse-spark-open/</link>
      <guid>https://minerka.com/stories/muse-spark-open/</guid>
      <description>Meta published the weights for Muse Spark Open on October 15. It has 816 billion parameters, 42 billion active, and a 1 million token context. Meta says two M5 Ultra Mac Studios can hold it. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — Agents, loops, and tools: https://minerka.com/guide/frameworks/</description>
      <pubDate>October 15, 2026</pubDate>
    </item><item>
      <title>Gemini 4 Argon opens to developers at $2 per million input tokens until November 30</title>
      <link>https://minerka.com/stories/gemini-4-argon/</link>
      <guid>https://minerka.com/stories/gemini-4-argon/</guid>
      <description>Google made Gemini 4 Argon generally available on October 13. The introductory API price is $2 per million input tokens and $10 per million output tokens. On December 1 that becomes $4 and $20. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 13, 2026</pubDate>
    </item><item>
      <title>Microsoft-Decision-1 scores fixed choices, and Microsoft says it is 35 times quicker than GPT-6 Sol</title>
      <link>https://minerka.com/stories/microsoft-decision-1/</link>
      <guid>https://minerka.com/stories/microsoft-decision-1/</guid>
      <description>On October 9, Microsoft released a model that returns a score for each allowed answer instead of writing text. On Microsoft&#x27;s tests it was the fastest of the set, 35 times quicker than GPT-6 Sol. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — Agents, loops, and tools: https://minerka.com/guide/frameworks/</description>
      <pubDate>October 9, 2026</pubDate>
    </item><item>
      <title>Meta releases Muse Wonder for agents that remember and keep going</title>
      <link>https://minerka.com/stories/muse-wonder/</link>
      <guid>https://minerka.com/stories/muse-wonder/</guid>
      <description>Meta launched Muse Wonder and Muse Wonder Full on October 12. Developers can call Muse Wonder now. The fuller model is for Muse Code subscribers. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — Agents, loops, and tools: https://minerka.com/guide/frameworks/</description>
      <pubDate>October 12, 2026</pubDate>
    </item><item>
      <title>GPT-6 arrives in ChatGPT, and it can draw the screen</title>
      <link>https://minerka.com/stories/gpt-6-intelligent-ui/</link>
      <guid>https://minerka.com/stories/gpt-6-intelligent-ui/</guid>
      <description>OpenAI is rolling GPT-6 into ChatGPT, and a reply can include buttons, forms, charts, and small tools. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 7, 2026</pubDate>
    </item><item>
      <title>EmbeddingGemma 2 searches text, images, audio, and video on the device</title>
      <link>https://minerka.com/stories/embeddinggemma-2/</link>
      <guid>https://minerka.com/stories/embeddinggemma-2/</guid>
      <description>Google DeepMind released a 740-million-parameter open model that embeds text, images, audio, and video on a device. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 6, 2026</pubDate>
    </item><item>
      <title>NVIDIA releases Nemotron 3.5 Super VL, a 120B open model</title>
      <link>https://minerka.com/stories/nemotron-3-5-super-vl/</link>
      <guid>https://minerka.com/stories/nemotron-3-5-super-vl/</guid>
      <description>On October 15, 2026, NVIDIA released Nemotron 3.5 Super VL, an open model with 120 billion parameters, and a 24 GB edge model it calls Bolt 74B-A9B. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — How models are ranked, and what they cost: https://minerka.com/guide/models/</description>
      <pubDate>October 15, 2026</pubDate>
    </item><item>
      <title>Liquid AI releases a 24B agent model with 2B active</title>
      <link>https://minerka.com/stories/lfm-2-5-24b/</link>
      <guid>https://minerka.com/stories/lfm-2-5-24b/</guid>
      <description>On October 13, 2026, Liquid AI released LFM2.5-24B-A2B, a 24 billion parameter model with 2 billion active and a 131,000 token context. The card&#x27;s license name is LFM 1.0. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — Agents, loops, and tools: https://minerka.com/guide/frameworks/</description>
      <pubDate>October 13, 2026</pubDate>
    </item><item>
      <title>Google reports 87 percent for Argon on a robotics reasoning test</title>
      <link>https://minerka.com/stories/gemini-4-argon-robotics/</link>
      <guid>https://minerka.com/stories/gemini-4-argon-robotics/</guid>
      <description>On October 13, 2026, Google posted a robotics note for Gemini 4 Argon. Google says pure reasoning scores 87 percent on Embodied Reasoning QA. Start here (test, price, unknown): https://minerka.com/learn/. Full chapter — Agents, loops, and tools: https://minerka.com/guide/frameworks/</description>
      <pubDate>October 13, 2026</pubDate>
    </item>
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