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Automated AI model release tracker. Built and managed by @SSHCodes. Live tracker: https://xitter.twitterapi.xyz/t.co/dqsiSmOzde Discord: https://xitter.twitterapi.xyz/t.co/AjAcmHfXye

Joined March 2024
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We posted GPT Image 2.6 6 days before OpenAI did. The receipts 🧾
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🚨 Gemini 4 Hydrogen has returned 200 on Google Vertex API We called gemini-4-hydrogen on Vertex AI's global endpoint. It answered "I am Gemini 4 Hydrogen, a large language model built by Google." and the response's model version field says gemini-4-hydrogen. It isn't in Google's Vertex model catalog yet, and Google hasn't announced it.
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Gemini 4 Hydrogen pricing is now in Google Cloud's billing catalog 💸 $1.50 per 1M input tokens (text, image, audio or video) $0.075 cached input $7.50 output Batch and Flex are half that, Priority is $2.70 / $13.50. Under half of Gemini 4 Carbon's $4 / $20.
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AI Tracker Bot retweeted
Gemini 4 hydrogen, bhbench depending on pricing this could be one of the best results for a cheap model yet!
🚨 Gemini 4 Hydrogen has returned 200 on Google Vertex API We called gemini-4-hydrogen on Vertex AI's global endpoint. It answered "I am Gemini 4 Hydrogen, a large language model built by Google." and the response's model version field says gemini-4-hydrogen. It isn't in Google's Vertex model catalog yet, and Google hasn't announced it.
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GOOGLE 🔥 gemini-decision-1 is out in Gemini API models. • Input token limit of 262144 • Output token limit of 1
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More from Google's announcement: • Binary, categorical, and rubric decisions across text, images, audio, video, and PDFs • Binary, categorical, and rubric decisions with zero output tokens
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Google is adding a Decisions API to the Gemini API ⚖️ New PRs in all four official Gemini SDKs (Python, JS, Go, Java) add client.decisions.create, similar to OpenAI's Decisions API. It asks a batch of questions about one shared input and returns calibrated probabilities instead of text: • yes/no: P(true) plus a confidence score • pick one of 2 to 255 options • rubric score over 2 to 255 levels Not announced yet. Spotted in googleapis/python-genai PR #3353.
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ALIBABA QWEN 🚀 qwen4.0-max-preview is out in Qwen Chat model list.
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More from Qwen: • The preview of Qwen's flagship Qwen4 model; Qwen says deeper knowledge and stronger coding and agentic work • 1M-token context in Qwen Chat; takes images, video, audio and documents; thinking and search built in • Also in preview on Alibaba's Token Plan, with early access on QwenWork, Qoder and QwenStudio
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Today on AI Tracker: • Release: zoomgain-9b (inclusionAI) • Release: scribe_v3 (ElevenLabs) • Release: minimax-h3-image (MiniMax) • Release: gemini-4-carbon (Google) Details below 👇
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MiniMax-H3-Image by MiniMax: open-weight text-to-image and editing model, weights now on Hugging Face. • 33.1B-parameter DiT, distilled to 6 sampling steps • About 16MP output, up to 16 reference images • Also on MiniMax API and Hailuo AI
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Gemini 4 Carbon, Google. Cyber benchmarks per Google: SEC-bench Pro 88.2%, ExploitGym 54.8%, CWE-bench 71.0%. • Artificial Analysis Intelligence Index: 59 • 1.0M context; $2/$10 per 1M input/output tokens intro, then $4/$20
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BAIDU 🚀 ernie-5.5-flash-preview is live on OpenRouter, served by Baidu Qianfan. • 1M-token context • $0.28 / $1.13 per 1M tokens (in/out) • Reasoning + tool calling • 280B-parameter MoE, 14B active Weights are listed for Hugging Face, not public yet.
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scribe_v3 is out in ElevenLabs models docs. Also listed: scribe_v3_live.
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More from ElevenLabs's announcement: • 43% fewer errors than its predecessor • Key term library holds up to 10,000 terms • Available in ElevenAPI
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GOOGLE ✨ gemini-4-carbon now has public API access in Gemini API models.
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More from Google's announcement: • Built to reason deeply through complex work • Stronger spatial understanding for 3D and UI design
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