Can RTX 5070 Ti 16GB run Kimi-K2.7-Code?

NVIDIA · 16 GB GDDR7 · 896 GB/s bandwidth · Moonshot · 1030.0B (active 32.0B) · MoE · model ctx up to 256K

No — Kimi-K2.7-Code at Q4 needs ≈ 570.7 GB even at 4K context, beyond the RTX 5070 Ti 16GB's 16 GB GDDR7. It would only run with heavy CPU/disk offload. FP16 needs ≈ 2067.4 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	570.7 GB	No	—
Q4	8K default	573.9 GB	No	—
Q4	32K	593.1 GB	No	—
FP16	4K	2064.2 GB	No	—
FP16	8K default	2067.4 GB	No	—
FP16	32K	2086.6 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 5070 Ti 16GB VRAM
Q4	566.5 GB	6.4 GB	1 GB	573.9 GB	16 GB
FP16	2060.0 GB	6.4 GB	1 GB	2067.4 GB	16 GB

Other GPUs that run Kimi-K2.7-Code

No catalog GPU fully fits Kimi-K2.7-Code at Q4/8K — see the model page for offload estimates.

All GPUs for Kimi-K2.7-Code →

Other models for the RTX 5070 Ti 16GB

• MiniCPM5-1B — ≈527.9 tok/s Q4 est.
• Qwen3.5-2B — ≈285.1 tok/s Q4 est.
• gpt-oss-20b — ≈189.5 tok/s Q4 measured
• Llama-3.2-3B-Instruct — ≈178.2 tok/s Q4 est.
• Mistral-7B-Instruct-v0.3 — ≈160.2 tok/s Q4 measured
• Qwen3-4B-Instruct-2507 — ≈142.5 tok/s Q4 est.
• Qwen3-4B-Thinking-2507 — ≈142.5 tok/s Q4 est.
• NVIDIA-Nemotron-3-Nano-4B-BF16 — ≈142.5 tok/s Q4 est.

All models on the RTX 5070 Ti 16GB →