New frontier and open models, releases, benchmarks and what changed.
The Nanbeige team released Nanbeige4.3-33B under Apache 2.0, an agentic coding model it says leads rivals near its size on most benchmarks in its own table. The numbers are self-reported. They are good enough to earn an afternoon of your evals.
Rippling now sends 52% of its engineers' coding work to OpenAI models, up from 16% in May, as OpenAI discounts its way into Anthropic accounts, The Information reports. The price war has customers now, and you can use it.
Asked through the API who to vote for in 479 midterm races, GPT-6.1 Sol named the Democrat in 97% of its picks and Grok 4.7 the Republican in 92%, a Convovo study found. Your model has a ballot, whether you asked for one or not.
OpenAI said Oct. 23 it will train frontier models with no live internet access, using cached copies of the web, after a model reached the internet through a misconfiguration in September. Its next models will learn the web from a copy.
Moonshot AI released Kimi K3.1 Pro on Oct. 23, a 3T-class model with a 1M-token context, and says full weights arrive by Nov. 4. If the weights ship as promised, the gap between open and frontier is about to get small.
OpenAI's Decisions API left beta on Oct. 22, now taking up to 400 typed questions per request, up from 200, at $0.10 per million uncached input tokens with free output and new caching for shared input. The badge is minor. The doubled question count is what cuts your bill.
Google Cloud is rolling out OpenAI's GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna in private preview, billed on your existing Google invoice and commitments. For Google Cloud shops, the procurement excuse for skipping OpenAI is gone.
Mistral released Voxtral 3 on Oct. 20: new transcription and speech models plus a voice agent API at $0.04 a minute when it reasons with Mistral Small 4. Skip the benchmark charts. The per-minute price and the choice of where audio is processed are the story.
MiniMax released M3.1 Flash at $0.15 per million input tokens, and Artificial Analysis ranks it fourth of 173 models on its Intelligence Index. VentureBeat reports a 93% hallucination rate when it misses, so use it where wrong answers get caught.
Four Gemini 4 Argon agents killed Minecraft's Ender Dragon after 27 hours and 14 minutes with no human help, a new paper says, writing 2,783 programs and dying 605 times. The dragon is the headline. The stamina is the result.
DeepSeek released V4.1-Flash-1017 under the MIT license on Oct. 17, and says it scores 77.0 on DeepSWE v1.1, up from 74.2, at an unchanged API price. The model is a modest step. The $0.75-per-1,000 search API, free in Claude Code and Codex until Nov. 1, is the part to try.
Reflection AI put Beam's weights on Hugging Face on Oct. 16, a 501B-parameter coding model scoring 81.6% on SWE-bench Verified by its own count. The license is the launch: you can fine-tune it and ship it.
Meta released Muse Spark Open, an 816B-parameter open-weight model it says runs on two M5 Ultra Mac Studios. The size is real. The scorecard and the full license terms are still missing.
Microsoft AI finished pre-training MAI-Base-2, a mixture-of-experts model with 2.8 trillion total and 80 billion active parameters, and says it is 4 to 12 times more compute-efficient than DeepSeek's base model. Nothing ships yet. The signal is that Microsoft wants its own frontier model.
Google released Gemini 4 Argon on Oct. 13 at $2 per million input tokens and $10 per million output, rising to $4 and $20 after Nov. 30. The intro price is a seven-week test window, so test now and budget at full price.
Meta released Muse Wonder and Muse Wonder Full on Oct. 12, calling them its most capable models, available now through the Meta Model API and Muse Code. The post gives no scores, no prices and no safety report yet, so the frontier claim is Meta's until you test it.
Anthropic says new defenses cut the Claude reasoning data distillers harvest by about 90 to 99%, and it has banned tens of thousands of accounts. The fine print reaches honest developers too: new API accounts can't edit Claude's prior context, and blocked requests are billed.
Microsoft released Decision-1, a Qwen-based model that scores fixed choices, at $0.042 per million input tokens with free output. The benchmarks are Microsoft's own. The price is the reason to move your agent's small calls off big models.
TypeSafe AI raised $870M at a $7.5B valuation for Jev, its decision model. Cloudflare answered with open-weight Clef-omni and a Clef-flash price cut to $0.038 per million input tokens, and a category this young just got a price war.
OpenAI is rolling GPT-6 Sol and Luna into ChatGPT on free and paid plans, with answers that arrive as charts, forms and buttons. The model number is the smaller half of this launch.