Just another example of how companies are bringing specialized intelligence to their customers with the help of Fireworks. Congrats on the launch of Athena Inference Model (AIM) @ZetaGlobal !
JetBrains has released Mellum2.1, a 12B mixture-of-experts thinking model with 2.5B active parameters, under Apache 2.0 on Hugging Face. Post-training reinforcement learning in real software repositories raised SWE-bench Verified from 2.0 to 47.0, according to JetBrains' self-reported results. Qwen3.5-9B still leads on SWE-bench Pro, GPQA Diamond and AIME, and GGUF builds start at 7.0 GB for local use.
Carbon-A is an open model that predicts gene locations directly from DNA, and it has been used to annotate genomes from over 22,000 species. The release includes a database of 566 million gene candidates, about 16 times the gene annotations in the RefSeq dataset. Wet-lab RNA experiments supported 239 candidates missing from RefSeq across cats, Syrian hamsters, chickens, and Arabidopsis.
Why it matters: The source ties an open gene-annotation model to specific wet-lab checks and gene counts, helping readers judge how far its predictions extend beyond well-studied genomes.
The team released Carbon-A, an open model that finds genes directly in DNA, along with a database of 566.34 million candidate genes across 22,617 species. The model reads genomes without needing a close relative, and wet-lab validation in cats, chickens, and arabidopsis is cited, with 239 genes found missing from reference annotations of common species. The authors say the model marks gene locations but does not design DNA or predict gene function.
I’ve never seen anything like this. AI voice technology is getting out of hand. Drama 3 is the most control a model has shown over the direction of language. It can change tone in the same sentence and has vocal control similar to human speech. I tried testing this feature and couldn’t believe how well it worked. Do yourself a favor and try @FishAudio out.
Anthropic 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.
Other tasks our models can do: https://www.youtube.com/playlist?list=PLIv5TE4TO-ZgiMiHpD5ZSiJVLa9I6557R Read more about GEN-1.5, our latest foundation model for the physical world: https://generalistai.com/blog/gen-1.5
perplexity’s open weights decision model the best quality and lowest cost for clinical decisions
Step 5 Preview is now free on OpenCode for a week - 1M Context - Multi-modal - Zero Data Retention
GPT-6 Luna is the fastest Decisions model today, at 180ms on global requests 🏁 Followed by Jev and Perplexity Decider:
haiku 5.5 this pricing is so bizarre Who charges 5x directly once it exceeds 100k...
OpenRouter announces that StepFun's Step 5 Preview is live on its platform, priced at $1.00 per million input tokens and $2.70 per million output tokens. Cache hits are 50% off at launch, bringing them to $0.05 per million. A week of free access is rolling out across partners including opencode, Cline, Nous Research, and Kilo Code.
Across StepFun's 8-benchmark eval, Step 5 Preview beats Kimi K3 and GLM-5.3 on 6, including DeepSWE (67.7), ProgramBench (80.5), StepCodeBench (49.0), and FrontierFinance (66.4).
Step 5 Preview from @StepFun_ai is live on OpenRouter. Their new flagship for agentic work: a sparse MoE (27B active, 600B total), 1M context, and text, image, and video input. Strong at coding and professional knowledge work, especially finance. Try it: https://openrouter.ai/stepfun/step-5-preview
TypeSafe 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.
Want to learn more about Step 5 Preview? Model overview, benchmarks & demos ↓ https://www.stepfun.com/step-5-preview Technical specs & API docs ↓ https://platform.stepfun.ai/docs/en/guides/models/step-5-preview
StepFun's Step 5 Preview is now live on OpenRouter, with a week of free access rolling out across opencode, Cline, NousResearch, and Kilo Code. The company positions it as flagship-tier intelligence for agentic and professional work at substantially lower task cost, letting users keep their workflow while switching models.
StepFun 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.
JetBrains 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.
Anthropic 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.
怎么这么多精神 Anthropic 公司人 我发这个信息说了句降价，这个定价专门用来狙击国产模型，说了句恶心，一堆人来骂 好像这模型一便宜就忘了 Anthropic 之前干过啥了 Why are there so many Anthropic people (defenders) here? I posted a message saying just one thing—a price cut—and said this pricing is specifically meant to snipe domestic Chinese models, and that it's disgusting. A bunch of people came to attack me. Seems like once the model gets cheap, people forget what Anthropic did before.
This 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.
Stay calm and build with our day0 partner @vercel_dev 🤘 Enjoy Ling-3.1-flash, a token efficient agentic and coding savvy model for another week~
Super glad to push forward with a new day0 collaboration with @aimlapi ! 🤠🤘 Have fun running your favorite agentic and cowork scenario with it!
Anthropic released Claude Haiku 5.5, priced the same as OpenAI's GPT-6 Luna, with a 1M-token context window. Artificial Analysis scored it 43 on its Intelligence Index, slightly ahead of GPT-6 Luna at 38, but it uses about 3x more output tokens at max effort.
Thanks to our day0 partner @novita_labs for the continued, reliable launching support 🥰
Anthropic'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.
Perplexity has released pplx-embed-v2-late, a pair of ColBERT-style multimodal embedding models in 0.6B and 9B sizes that retrieve text, images and rendered PDF pages in a shared embedding space. Both are available on Hugging Face under the MIT license, while a hosted API endpoint is planned but not yet live.
The author built a Qimen Dunjia chart-plotting teaching website using Opus 5.5 and has now launched it. After positive user demand, the site was improved with added exercises and explanations to function more like a learning platform.
Anthropic's Haiku 5.5 is priced below DeepSeek-V4.1 flash and Zhipu's GLM 5.3 flash. On Terminal Bench 4.0, the author's comparison shows it scoring one point above some rivals and level with GLM 5.3 flash, while ahead of the other two.
OpenAI 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.
According to the source, OpenAI released a set of results produced by an internal frontier model on 722 math problems, without advance warning or peer review. The excerpt provided does not include full details of the methods or verified outcomes.
The item is a Chinese media report headlined as Claude solving a probability theory problem, described as a step toward Fields Medal-level mathematics. The feed supplied only a short excerpt, which quotes a Fields Medalist's remark dated August 30, 2026, so the full claim and details cannot be verified from this material.
French AI company Mistral has released Mistral Large 4, its new flagship model with 1 trillion total parameters. The company plans to make all of the model's weights open at the end of the month.
Anthropic 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.
OpenAI announced on X that GPT-6 and Intelligent UI are now rolling out to all ChatGPT users, after GPT-6 Astra, Sol and Luna were previously limited to ChatGPT Work and Codex. Intelligent UI lets GPT-6 combine text, images and interactive elements such as charts, clickable buttons and forms, with a mahjong learning example shown.
Anthropic'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.
OpenAI says ChatGPT now offers Intelligent UI, which returns answers with fully interactive user interfaces. GPT-6 is rolling out in ChatGPT, powered by GPT-6 Sol for Plus, Pro, Business, and Enterprise tiers and GPT-6 Luna for Free and Go tiers. The rollout begins globally today in the Chat tab for paid tiers, with Free and Go tiers following tomorrow.
Try it now: https://fal.ai/models/minimax/h3-max/relight