I can’t help rooting for tiny open source AI model maker Arcee

TechCrunch / 4/8/2026

💬 OpinionSignals & Early TrendsIndustry & Market MovesModels & Research

Key Points

  • Arcee, a small U.S. open-source LLM startup, has released a new reasoning model called Trinity Large Thinking and positions it as the most capable open-weight model released by a non-Chinese company.
  • The article frames Arcee’s strategy as providing Western/U.S. firms a download-and-run option (including on-premises and via API) to avoid perceived risks of relying on Chinese-based models.
  • Arcee’s models are said not to surpass top closed models from labs like OpenAI or Anthropic, but the author argues they offer freedom from being “held hostage” by large providers’ commercial or policy changes.
  • The piece cites Anthropic’s decision that Claude subscriptions will no longer cover OpenClaw usage without extra payment, contrasting it with the availability of open models that can reduce dependency on vendor terms.

Arcee, a tiny 26-person U.S. startup that built a massive, 400B-parameter open source LLM on a $20 million shoestring budget, has released its new reasoning model. Arcee calls the model Trinity Large Thinking — and it’s the most capable open-weight model “ever released by a non-Chinese company,” claims CEO Mark McQuade to TechCrunch.

As that comment implies, Arcee has a goal that I can’t help but root for: It wants to give U.S. and Western companies a model that gives them no reason to use a Chinese-based one.

While Chinese models are extremely capable, they are perceived as risky, putting power, and perhaps data, into the hands of a government that doesn’t share all of the Western world’s ideals.

With Arcee, companies can download the model, train it to their own needs, and use it on premises. Companies can also use Arcee’s cloud-hosted version, accessible via API.

While Arcee’s models are not outperforming the closed source models from the big labs like Anthropic or OpenAI, they’re not being held hostage by the whims of those giants, either.

For instance, Claude, with its exceptional abilities to code, has been a popular choice for users of open source AI agent tool OpenClaw. But Anthropic pulled the rug out from them last week when it told users that their Anthropic subscriptions will no longer cover OpenClaw usage — they will have to pay additionally for that. (In February, OpenClaw creator Peter Steinberger said he was joining Anthropic’s biggest rival, OpenAI.)

In contrast, McQuade proudly points to data from OpenRouter that says it has become one of the top models used with OpenClaw.

Techcrunch event

This Week Only: Up to $482 savings for Disrupt 2026

Offer ends April 10, 11:59 p.m. PT

Your next round. Your next hire. Your next breakout opportunity. Find it at TechCrunch Disrupt 2026, where 10,000+ founders, investors, and tech leaders gather for three days of 250+ tactical sessions, powerful introductions, and market-defining innovation. Register now to secure these savings.

This Week Only: Up to $482 savings for Disrupt 2026

Offer ends April 10, 11:59 p.m. PT

Your next round. Your next hire. Your next breakout opportunity. Find it at TechCrunch Disrupt 2026, where 10,000+ founders, investors, and tech leaders gather for three days of 250+ tactical sessions, powerful introductions, and market-defining innovation. Register now to secure these savings.

San Francisco, CA | October 13-15, 2026

So, how good is Trinity Large Thinking? It is comparable to some of the other top open source models, according to the benchmark results it shared with TechCrunch.

Arcee Trinity large thinking Benchmarks
Arcee Trinity large thinking BenchmarksImage Credits:Arcee / Arcee

As we previously reported, it is not a head-to-head threat to the big cheese among U.S.-built open models: Meta’s Llama 4. But it also doesn’t have the odd, not-really open source license issues of Meta’s model. All of Arcee’s Trinity models are released under the gold standard for OS licenses, Apache 2.0.

Just to be clear, there are also countless other U.S. startups offering open source models and, as a fan of the ingenuity of startups, I’m rooting for them, too.