Local MoE Models Compared: GLM-4.7 vs Qwen 3.6 vs Gemma 4 — Which Runs Best on Your GPU?

Credibility score: 69/100 — Mostly Credible. Mixed credibility - some claims are solid, others need verification.

Claims analyzed

GLM-4.7, Qwen 3.6, Gemma 4 released April 2026, run locally. — Solid (75/100)

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Frontier AI now runs on gaming PCs via MoE activating 3-4B of 25-35B params — Solid (85/100)

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GLM-4.7: 30B total/3-3.6B active, 128k ctx; Qwen 3.6: 35B/3B active, 1M ctx, text+vision — Solid (82/100)

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Gemma 4 uses SWA attending to nearest 1024 tokens per layer — Solid (82/100)

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Gemma 4 26B: 25.2B/3.8B active, 256k ctx, text+vision+60s video; GLM uses Eagle speculative decoding — OK (65/100)

Gemma 4 MoE? Close but model names off — still tracks tho ⚠️

GLM-4.7: 2s first token latency, >50 t/s throughput — Dubious (45/100)

50+ t/s on consumer GPU? Optimistic AF without hardware specs 🚩

Gemma 4 4-bit weights: 14-15.4GB, fits 16GB VRAM cards — OK (65/100)

Close enough for local runner lingo ⚠️

GLM-4.7: 91.6% AIME 2025; Gemma 4: 88.3% AIME 2026 — Solid (75/100)

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Humanities Last Exam: Qwen 3.6 21.4%, GLM 4.7 14.4%, Gemma 4 8.7% — Solid (78/100)

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Qwen 3.6 35B at 4-bit uses ~21.5GB VRAM — Solid (85/100)

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GPQA Diamond: Qwen 3.6 86%, Gemma 4 82.3%, GLM 4.7 75.2% — Solid (80/100)

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GLM 4.7 30B at 4-bit uses 18-19GB VRAM — Solid (82/100)

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Qwen 3.6 more efficient in total agent loop time — Opinion (50/100)

Smart reframe on verbosity as 'cognitive insurance' — makes sense for agents 👌

GLM-4.7 Flash: 59.2% SWE-Bench Verified; Qwen 3.6: 67.2% SWE-Bench ML — Solid (88/100)

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4-bit quantization causes micro hallucinations in coding — Solid (75/100)

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Gemma 4 uses SWA architecture for VRAM optimization — Dubious (45/100)

SWA? Googling that — sounds made up for Gemma 4 🚩

GLM-4.7 Flash scored 91.6% on AIME 2025 — OK (65/100)

Specific score but AIME 2025? Smells like future benchmark 🚩

Gemma 4 with 4 slots overwhelms 16GB VRAM due to SWA cache despite 14GB weights — Solid (75/100)

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GLM-4.7, Qwen 3.6, Gemma 4 are best local AI models of 2026 — Opinion (50/100)

Boldest 2026 hot takes 👑

Gemma 4 fast/concise agent, excels at Tailwind CSS UI generation — Personal Story (65/100)

Real-world dev take — benchmarks miss the agent feel ⚙️

Gemma 4 26B best for 16GB GPU multimodal coding/UI with SWA tweaks — Opinion (65/100)

Specific rec with the asterisk* ⚠️

Qwen 3.6 verbose traces = insurance for perfect first-try code — Personal Story (68/100)

Long chain-of-thought actually wins coding tasks 🧠💻

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