Can RTX 4070 Ti Super 16GB run DeepSeek-V4-Flash?

NVIDIA · 16 GB GDDR6X · 672 GB/s bandwidth · DeepSeek · 158.1B (active 13B) · MoE · model ctx up to 1000K

No — DeepSeek-V4-Flash at Q4 needs ≈ 89.25 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 ≈ 319.8 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	89.25 GB	No	—
Q4	8K default	90.55 GB	No	—
Q4	32K	98.36 GB	No	—
FP16	4K	318.5 GB	No	—
FP16	8K default	319.8 GB	No	—
FP16	32K	327.6 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	86.95 GB	2.6 GB	1 GB	90.55 GB	16 GB
FP16	316.2 GB	2.6 GB	1 GB	319.8 GB	16 GB

Other GPUs that run DeepSeek-V4-Flash

• B200 192GB SXM — ≈391.6 tok/s Q4 est.
• MI300X 192GB — ≈259.4 tok/s Q4 est.
• H200 141GB SXM5 — ≈235.0 tok/s Q4 est.
• Gaudi 3 128GB — ≈160.4 tok/s Q4 est.
• Mac Studio M3 Ultra 96GB — ≈40.1 tok/s Q4 est.
• Mac Studio M2 Ultra 192GB — ≈39.2 tok/s Q4 est.
• MacBook Pro M4 Max 128GB — ≈26.7 tok/s Q4 est.
• MacBook Pro M3 Max 128GB — ≈19.6 tok/s Q4 est.

All GPUs for DeepSeek-V4-Flash →

Other models for the RTX 4070 Ti Super 16GB

• Qwen3-0.6B — ≈534.5 tok/s Q4 est.
• gemma-3-1b-it — ≈427.6 tok/s Q4 est.
• Llama-3.2-1B-Instruct — ≈356.4 tok/s Q4 est.
• Qwen3-1.7B — ≈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.
• Phi-4-mini-instruct — ≈112.5 tok/s Q4 est.
• Phi-4-mini-reasoning — ≈112.5 tok/s Q4 est.

All models on the RTX 4070 Ti Super 16GB →