Mistral Small 4 (119B MoE, 6B active, Apache 2.0) - best open model right now?

On March 22nd, someone on LocalLLaMA asked a pointed question: is Mistral Small 4 the best open model right now? The model being discussed is described as a 119-billion parameter mixture-of-experts architecture that activates only 6 billion parameters at inference time — a ratio that essentially means you get access to a very large model's knowledge base while paying the computational price of a much smaller one. That is not a minor technical footnote; it is the entire value proposition. The reported licence is Apache 2.0, which in practical terms means Mistral would be handing the model to the world without conditions — commercial use, fine-tuning, redistribution, all permitted. The thread framing is combative in the way LocalLLaMA threads tend to be: a direct challenge to the community to either agree or produce a credible counterexample.

If confirmed, here is what this means. A genuinely capable 119B MoE model under Apache 2.0 would land differently than most open releases, because the combination of inference efficiency and unrestricted licensing removes the two most common blockers to real-world deployment. Businesses that have been waiting for an open model that is both economical to run and legally uncomplicated suddenly have a serious candidate. Six billion active parameters at inference puts this within reach of consumer hardware setups and modest cloud configurations, which expands the potential user base well beyond research labs. Mistral has been positioning itself as the serious European alternative to American closed-model dominance; a model at this efficiency-to-capability ratio would advance that argument more forcefully than any press release. The second-order effect worth watching is what this does to the commercial calculus for smaller fine-tuning shops — Apache 2.0 at this scale is an invitation to build, and the community that builds fastest on a foundation model tends to entrench it.

Watch for an official release post from Mistral's blog or Hugging Face page, and for independent benchmark comparisons against Qwen 2.5 and DeepSeek models — those two are the current reference points the community will use to settle the thread's opening question.

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