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#Model release

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Oct 8

Oct 8Thu
  1. LeiphoneAI score62

    Claude Haiku 5.5 gains on computer use but still trails Sonnet 5.5 in terminal coding

    AIAnthropic released Claude Haiku 5.5, raising its OSWorld 2.1 score from 15.7% to 72.4% and supporting a 1 million token context window. The article notes Haiku 5.5 still scores 39.2% on Terminal-Bench 4.0 against Sonnet 5.5's 70.6%, and that prompts above 100,000 tokens are priced higher, so migration costs need to be measured on real workloads.

  2. Understanding AI (Timothy B. Lee)AI score67

    TypeSafe AI's Jev returns probabilities over fixed answers instead of text

    AITypeSafe AI released Jev, a model that answers yes/no, multiple-choice, or rating questions by outputting the estimated probability of each option. The author notes this design lets the model be served faster and more cheaply than LLMs and fits ordinary if-statement logic, and says he used it to flag spam comments on his blog in place of Gemini 3 Flash.

  3. StepFunAI score60

    StepFun's Step 5 Preview is live on OpenRouter with a week of free access

    AIStepFun says Step 5 Preview is now available on OpenRouter, with a week of free access rolling out across OpenCode, Cline, Nous Research, Kilo Code, and other tools. The company describes it as flagship-tier intelligence for agentic and professional work at substantially lower task cost, letting users switch models without changing their workflow.

    Image from @StepFun_ai's post
  4. OpenRouter · New modelsAI score54

    StepFun releases Step 5 Preview, a 600B-parameter agentic model

    AIStepFun has released Step 5 Preview, its flagship model for agentic work, built on a sparse Mixture-of-Experts architecture with 27B active and 600B total parameters. The source says it performs strongly in software engineering and professional tasks, but the feed supplied only an excerpt, so benchmark details are not available here.

  5. JetBrains AI BlogAI score62

    JetBrains releases Mellum2.1, an open coding model trained with reinforcement learning

    AIJetBrains released Mellum2.1, a 12B mixture-of-experts model with 2.5B active parameters under the Apache 2.0 license, built for coding agents. Post-training shifted to reinforcement learning across thousands of environments and millions of sandboxed runs, and the model is available on Hugging Face. The source reports gains over Mellum2 on LiveCodeBench, AIME, GPQA Diamond, BFCL v4, IFEval, and SWE-bench Verified, and says it serves almost twice the tokens of Qwen3.5-9B under heavy load.

    Why it matters: The post shows how reinforcement learning in real sandboxed environments changed a compact open model's repository work, with benchmark gains against Mellum2 and two peers.

  6. The DecoderAI score72

    Claude Haiku 5.5 cuts prices but uses more tokens than GPT-6 Luna

    AIAnthropic released Claude Haiku 5.5, its fastest and most affordable small model, at prices up to 90 percent lower for most prompts under 100,000 tokens. Artificial Analysis ranks it first among small-class models on its Intelligence Index with a score of 43, but it consumes about three times the output tokens per task that GPT-6 Luna needs at maximum effort.

  7. 🚨 AI News | TestingCatalogAI score58

    Daily AI brief covers Mistral, Google, OpenAI, Anthropic, Microsoft and other vendor news for October 8

    AIThis daily brief from TestingCatalog collects recent AI announcements from several vendors, including Mistral Large 4, Claude Haiku 5.5, and GitHub stacked pull requests becoming generally available. The author states the brief was composed with Grok and cherry-picked news with post-editing. Items are mostly short product and pricing notices rather than detailed reporting, and several claims are unverified announcements.

  8. Ant LingAI score22

    Ant Ling's Ling-3.1-flash now live on AI/ML API

    AIAnt Ling announced a day-zero collaboration with AI/ML API, making Ling-3.1-flash available there for agentic and cowork scenarios. AI/ML API describes it as a 560B-parameter MoE model with about 25B active per token and up to 1M context, built for agents, coding, and long documents. The model is free to try on AI/ML API until October 13.

  9. meng shaoAI score39

    Claude Haiku 5.5 tops GPT-6 Luna on benchmarks, with 2x faster token output

    AIAnthropic's Claude Haiku 5.5, released alongside Claude Opus 5.5 and Claude Sonnet 5.5, is reported to lead GPT-6 Luna across benchmarks, with OpenRouter measuring roughly twice the token output speed. Anthropic says Haiku 5.5 is its cheapest, fastest, and most capable small model, costing about 75% less to run than Claude Haiku 4.5 on average. The post also notes some CodeX users are reportedly migrating to Claude Code.

Oct 7

Oct 7Wed
  1. GeekParkAI score46

    ChatGPT Adds Intelligent UI That Generates Interactive Tools, Google Launches Playground

    AIOpenAI said on October 7 that ChatGPT's new Intelligent UI will automatically combine text, charts, buttons and forms into interactive interfaces such as calculators and mini-games, rolling out to Plus, Pro, Business and Enterprise users from October 7 and to Free and Go users from October 8. Google also launched Playground, an experimental platform where users create, modify and play browser games from natural-language descriptions, initially for U.S. users aged 18 and older.

  2. IThome · AIAI score72

    Anthropic releases Claude Haiku 5.5, cutting run costs about 75% from Haiku 4.5

    AIAnthropic released Claude Haiku 5.5, which it calls the fastest, cheapest, and most capable Haiku model so far. On average it costs about 75% less to run than Haiku 4.5, with input at $0.10 and output at $0.50 per million tokens for requests up to 100,000 tokens. Anthropic also cut Sonnet 5.5's cache read price from $0.20 to $0.10 per million tokens, which it says lowers run costs by about 20% on many agent tasks.

  3. DatabricksAI score36

    Claude Haiku 5.5 launches on Databricks as a Day 0 release

    AIAnthropic's Claude Haiku 5.5 is available on Databricks from day zero, which Databricks calls its cheapest, fastest, and most capable small model. On Databricks' OfficeQA Pro V1 benchmark, it delivers about 15% higher quality than Haiku 4.5 at a fraction of the cost. Users can run it alongside 60+ other models on data already in Databricks, with Unity Gateway handling governance, monitoring, and security.

    Video from @databricks's post