Qwen 4.1 vs Qwen 4: What Changed, and Is It the New Mac #1?

The Quick Verdict

If you write code or run agentic workflows on your Mac, upgrade to Qwen 4.1 today. The gains are concentrated exactly where coding agents tend to break — multi-file edits, long-context reasoning, and clean tool-call formatting — and the +2pp on SWE-Verified and HumanEval is the difference between a patch that applies cleanly and one that needs hand-fixing.

If you mostly use a local model for chat, summarization, or drafting prose, the upgrade is marginal. Qwen 4 remains outstanding and you will rarely feel the difference. That said, the pull is free, fully backward compatible, and slightly faster per token, so there is almost no reason not to switch when convenient.

What Actually Changed in 4.1

Qwen 4.1 keeps the architecture that made Qwen 4 such a good fit for Macs: a 32-billion-parameter mixture-of-experts model that activates only 3 billion parameters per token (the "A3B" suffix), paired with a 256K-token context window. That MoE design is why a 32B-class model can hit 60–80 tok/s on a laptop — most of the weights sit idle on any given token.

The changes in 4.1 are evolutionary and land in four areas:

• +2pp across benchmarks — SWE-Verified climbs from 78% to 80%, MMLU from 89% to 90%, with HumanEval at 95% and AIME at 90%. Small on paper, meaningful at the failure margin.
• Slightly faster generation — minor kernel and tokenizer optimizations push tok/s up a few points on identical hardware, so you get more capability and more speed at once.
• Better long-context stability — the model holds coherence deeper into the 256K window, with fewer instances of losing track of earlier instructions in long agent sessions.
• Refreshed instruction tuning — cleaner tool-call JSON, fewer stray markdown fences, and tighter adherence to system prompts. This is the change you feel most in agentic and structured-output use.

Notably, Qwen 4.1 stays under the Apache 2.0 license, the most permissive option available — full commercial use, modification, and redistribution with zero restrictions. That license alone earns it the maximum 10/10 on the LLMCheck license axis.

Benchmark Head-to-Head

Here is Qwen 4.1 measured against Qwen 4 base, the specialized Qwen 4 Coder, and GLM 5.2 Air for context — the latter two being the other models people cross-shop in this weight class:

Two things stand out. First, Qwen 4.1 now matches or beats Qwen 4 Coder on every general benchmark while edging it on SWE-Verified — which means the general-purpose model has effectively closed the coding gap with its specialized sibling. Unless you need Coder's larger fill-in-the-middle training, the base 4.1 is the better all-rounder. Second, the lead over GLM 5.2 Air is real but modest; both are excellent open models, and license preference or ecosystem familiarity may decide it for you.

Speed by Apple Silicon Chip

The MoE design is what makes Qwen 4.1 so Mac-friendly. Because only 3B parameters are active per token, generation speed tracks closer to a 3B model than a 32B one — while the quality tracks the full 32B. Here are LLMCheck's measured tok/s figures at Q4 quantization:

By comparison, Qwen 4 runs at roughly 60 tok/s on the same M4 Pro 24GB — so 4.1's ~62 tok/s reflects the modest generation speedup baked into the point release. Every tier here is comfortably above the ~10 tok/s threshold where real-time reading starts to feel sluggish, which means Qwen 4.1 is genuinely usable even on a 24GB MacBook Pro.

One detail worth flagging: the M4 Pro 24GB out-pacing the M5 Pro 64GB is not a typo. The smaller configuration carries less memory-management overhead for this model size, and the M4 Pro's bandwidth is well matched to the 3B active parameter footprint. The takeaway is that you do not need a Max-tier chip to run Qwen 4.1 well.

Which Mac Should Run It

• M4 Pro / M5 Pro, 24–32GB — The sweet spot. Qwen 4.1 fits in RAM at Q4 with room for context, and you get 56–62 tok/s. This is the most cost-effective way to run the current Mac #1.
• M3 Max / M4 Max, 48–64GB — Excellent. ~48–70 tok/s with plenty of headroom to keep the 256K window full and other apps open. Ideal for agentic coding sessions.
• M5 Max, 128GB — The fastest tier at ~82 tok/s, and enough memory to run Qwen 4.1 alongside a second model or a large embedding index for RAG.
• 16GB machines — Tight. The full 32B weights must reside in RAM even though only 3B are active, so 16GB leaves little breathing room. Step down to a smaller model or budget for a 24GB+ upgrade.

Should You Upgrade?

The honest framing: Qwen 4.1 is a worthwhile free upgrade for almost everyone, but a required one only for coding and agentic users. It is the kind of point release you adopt the next time you are already at a terminal — not something to drop your work and rush. According to LLMCheck benchmarks, the 76-vs-75 Score gap is exactly what a clean, well-executed refinement should look like.

Installing Both Models

Both models are one command away via Ollama. If you want to A/B test before committing, pull them side by side — the names do not collide:

In LM Studio, search for "Qwen 4.1 32B-A3B" and select a Q4_K_M quant for the best balance of quality and speed on Apple Silicon. For MLX users, the community has already published an MLX-converted build that squeezes a few extra tok/s out of the unified-memory path. Whichever runtime you pick, the 256K context window is available out of the box — just raise the context length in your runner's settings to use it.