Can RTX 4070 Ti Super 16GB run Qwen3.5-122B-A10B?

NVIDIA · 16 GB GDDR6X · 672 GB/s bandwidth · Alibaba · 122.0B (active 10.0B) · MoE · model ctx up to 256K

No — Qwen3.5-122B-A10B at Q4 needs ≈ 69.1 GB even at 4K context, beyond the RTX 4070 Ti Super 16GB's 16 GB GDDR6X. It would only run with heavy CPU/disk offload. FP16 needs ≈ 247.0 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	69.1 GB	No	—
Q4	8K default	70.1 GB	No	—
Q4	32K	76.1 GB	No	—
FP16	4K	246.0 GB	No	—
FP16	8K default	247.0 GB	No	—
FP16	32K	253.0 GB	No	—

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

Quant	Weights	KV cache	Overhead	Total needed	RTX 4070 Ti Super 16GB VRAM
Q4	67.1 GB	2.0 GB	1 GB	70.1 GB	16 GB
FP16	244.0 GB	2.0 GB	1 GB	247.0 GB	16 GB

Other GPUs that run Qwen3.5-122B-A10B

• B200 192GB SXM — ≈509.1 tok/s Q4 est.
• MI300X 192GB — ≈337.3 tok/s Q4 est.
• H200 141GB SXM5 — ≈305.5 tok/s Q4 est.
• H100 80GB SXM5 — ≈213.2 tok/s Q4 est.
• Gaudi 3 128GB — ≈208.5 tok/s Q4 est.
• A100 80GB SXM4 — ≈129.8 tok/s Q4 est.
• Mac Studio M3 Ultra 96GB — ≈52.1 tok/s Q4 est.
• Mac Studio M2 Ultra 192GB — ≈50.9 tok/s Q4 est.

All GPUs for Qwen3.5-122B-A10B →

Other models for the RTX 4070 Ti Super 16GB

• MiniCPM5-1B — ≈396.0 tok/s Q4 est.
• Qwen3.5-2B — ≈213.8 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈199.0 tok/s Q4 measured
• gpt-oss-20b — ≈118.8 tok/s Q4 est.
• Qwen3-4B-Instruct-2507 — ≈106.9 tok/s Q4 est.
• Qwen3-4B-Thinking-2507 — ≈106.9 tok/s Q4 est.
• NVIDIA-Nemotron-3-Nano-4B-BF16 — ≈106.9 tok/s Q4 est.
• Llama-3.1-8B-Instruct — ≈95.0 tok/s Q4 measured

All models on the RTX 4070 Ti Super 16GB →