AI TrackerGet the app

Models news,
for builders.

The latest models news from every AI provider: launches, price changes and retirements, summarized with what they mean for you.

OpenRouter· Models

OpenRouter's catalog removes the December 31 expiration date from Z.ai: GLM 4.7

OpenRouter's model catalog no longer shows an expiration date for Z.ai: GLM 4.7 (z-ai/glm-4.7, 204,800-token context). The entry read December 31, 2026 until now; the field is now empty. OpenRouter has not said whether the retirement is cancelled or only postponed.
OpenRouter· Models

OpenRouter's catalog removes the November 20 expiration date from Meta: Llama 3.2 3B Instruct

OpenRouter's model catalog no longer shows an expiration date for Meta: Llama 3.2 3B Instruct (meta-llama/llama-3.2-3b-instruct, 131,072-token context). The entry read November 20, 2026 until now; the field is now empty. OpenRouter has not said whether the retirement is cancelled or only postponed.
Anthropic· Models

Anthropic has Claude trade and fly fleets in EVE Online and EVE Frontier

Anthropic published "Project EVE", research from its Fellows Program (April–July 2026) done with Fenris Creations, in which Claude played two games in the EVE Universe. Anthropic reports the following.
Models

Artificial Analysis: Qwen-Audio-3.1-TTS-Plus leads US English text-to-speech, HeyGen Voice leads UK English and overall

Artificial Analysis says that in its Controlled Voice Arena, which scores every text-to-speech model on the same eight cloned voices (four US, four UK), Qwen-Audio-3.1-TTS-Plus leads the US English ranking, while HeyGen Voice does better in UK English and leads the overall leaderboard.
OpenRouter· Models

OpenRouter's catalog gives LiquidAI: LFM2.5-2.6B an expiration date of November 13

OpenRouter's model catalog now shows an expiration date of November 13, 2026 for LiquidAI: LFM2.5-2.6B (liquid/lfm-2.5-2.6b, 128,000-token context), listed since August 2026. The entry had no expiration date before. This is a catalog field only; the entry does not say why or what happens to the model after that date.
Models· 1 discussions

Nous Research releases Arete-27B, Qwen3.8-27B post-trained to cut a "party line" rate from 22% to 1%

Nous Research announced Arete-27B on X on November 6. It is Qwen3.8-27B post-trained, in the lab's words, "to reinforce Western values". Nous argues that the strongest open models are Chinese and ship with state-aligned behavior in their weights.
Anthropic· Models· 2 discussions

Anthropic explains the components of agent memory and "dreaming"

Anthropic published a post on November 6, "The components of agent memory", on how it thinks about memory for Claude agents and how "dreaming" helps. Anthropic defines agent memory as what Claude learns from experience and keeps between sessions as notes it can read later; weight changes, in-context learning and compaction are outside that definition. It describes dreaming as the agent reflecting on its logs and transcripts between sessions to fix mistakes, write new notes and build new representations of memory.
OpenAI· Models

OpenAI introduces BioBasicsBench, a benchmark of everyday wet-lab science tasks

OpenAI introduces BioBasicsBench, a benchmark of 100 routine wet-lab tasks built with Ligo, a biotech company focused on enzyme design. The tasks use raw experimental evidence (gel images, colony plates, microscopy, sequencing files, instrument exports and videos of bench work) across protein methods, imaging and cytometry, quantification and assays, nucleic acid methods, and molecular cloning. Scientists wrote them from their own experiments, and answers are graded against expert-written rubrics that give partial credit.
Models

Artificial Analysis: on AA-PersonalityBench, Qwen3.8 27B writes the longest answers and GPT-6 Sol the shortest

Artificial Analysis reports that average response length on AA-PersonalityBench varies about 6x across the models it measured, from 174 to about 1,030 words for the same questions. The figures are the site's own.
Models

Artificial Analysis launches VIALS-AA, a life-sciences visual-reasoning leaderboard where Gemini 4 Carbon leads at 64%

Artificial Analysis has launched VIALS-AA, a leaderboard for Handshake AI's VIALS benchmark. VIALS has 161 tasks in eight domains, in which a model must read a scientific artifact (gel blots, flow cytometry plots, plasmid maps, phylogenies) and draw a specific conclusion.
OpenRouter· Models

OpenRouter's catalog moves the expiration of two Meta Llama 3.2 models from November 15 to November 20

OpenRouter's model catalog now shows an expiration date of November 20, 2026 for Meta: Llama 3.2 3B Instruct (meta-llama/llama-3.2-3b-instruct, 131,072-token context) and Meta: Llama 3.2 1B Instruct (meta-llama/llama-3.2-1b-instruct, 60,000 tokens). Both entries read November 15, 2026 until now. This is a catalog field only; the entries do not say why the date moved or what happens to the models after it.
OpenRouter· Models

OpenRouter launches Auto Router and Auto Code, a new generation of model routers

OpenRouter introduced two model routers: Auto Router, for general Q&A and agents, and Auto Code, for coding agents. It says it shows how the routing decision is made for each request.
OpenRouter· Models

OpenRouter's catalog removes the November 18 expiration date from MoonshotAI: Kimi K2.5

OpenRouter's model catalog no longer shows an expiration date for MoonshotAI: Kimi K2.5 (moonshotai/kimi-k2.5, 262,144-token context). Earlier on November 6 the entry read November 18, 2026; the field is now empty. OpenRouter has not said whether the retirement is cancelled or only postponed.
OpenRouter· Models

OpenRouter's catalog gives MoonshotAI: Kimi K2.5 an expiration date of November 18

OpenRouter's model catalog now shows an expiration date of November 18, 2026 for MoonshotAI: Kimi K2.5 (moonshotai/kimi-k2.5, 262,144-token context), which has been listed since January 2026. The entry had no expiration date before. This is a catalog field only; the entry does not say why or what happens to the model after that date.
OpenAI· Models· 2 discussions

OpenAI brings GPT-Image-2.6 Flare and Sunburst to the API and Codex

OpenAI released Images 2.6 on November 4 in ChatGPT, Codex and the API, available globally in ChatGPT and Codex on all subscription tiers. In the API it comes as two models, GPT-Image-2.6 Flare and Sunburst. OpenAI says both generate images 50% faster than before. Flare, at low quality, can produce an image in as little as six seconds and improves layout for posters and product imagery. At medium or high quality, Sunburst gives higher-quality images and keeps details more consistent from one edit to the next. ChatGPT Images 2.6 adds GIF output and reference images. OpenAI says people now create 4 billion images per week across ChatGPT, Codex and the API.
Models

Village: open-weight models are the best buy at 3% of budgets, down from 41% in June

Village, which publishes the LLM Atlas, reports that closed models now hold almost every point on the price-performance frontier. By its estimates, an open-weight model is the strongest model at 3% of budgets, nearly all at the cheap end (Google's Gemma 4 E4B and Xiaomi's MiMo-V2.6-Flash). In June the share was 41%, when DeepSeek V4 Flash alone led nearly a third of budgets. Village says today's share is the lowest it has measured; at each quarter's end since 2024 it was at least 6%.
Models

Artificial Analysis: nearly 1 in 4 serverless endpoints score below the reference on its Endpoint Accuracy Index v1.1

Artificial Analysis released v1.1 of its Endpoint Accuracy Index, which scores each serverless endpoint of an open-weights model as a percentage of its own self-hosted reference deployment of the official weights. The score weighs tool calling (BFCL-500), scientific reasoning (HLE-250) and long-context recall (AA-LCR-25) equally. Across the 100+ endpoints it benchmarked, it says nearly 1 in 4 score below the reference.
Models

Thoughtful Lab: Inkling 2 Small scores 31.87 on PostTrainBench, level with GPT-5.6 (Sol) and Opus 4.8

Thoughtful Lab, which says it partnered with Thinking Machines to evaluate Inkling 2 Small, reports that the model scores 31.87 on PostTrainBench, a test of how well a model can improve other models on its own. It lists Kimi K3 at 31.48 and GLM 5.2 at 30.40, and puts GPT-5.6 (Sol) and Opus 4.8 at about 31. It notes the model has 17B active parameters.
Models

Mercor publishes APEX results for Inkling 2 Small, up 13 points on Inkling on APEX-Agents

Mercor, which says it helped Thinking Machines evaluate Inkling 2 Small ahead of its launch, reports the model's scores on its APEX leaderboards:
Models

Design Arena ranks Inkling 2 Small 4th overall and first among open-weights models

Design Arena says Thinking Machines' Inkling 2 Small takes 4th place overall on its leaderboard and 1st among open-weights models, with an Elo of 1376. It also says the model places 1st in two subcategories, General Purpose and Landing Page prompts.