LLM Roofline
Llama 4 · Llama-4 · HF: meta-llama/Llama-4-Maverick-17B-128E-Instruct

Llama 4 Maverick 400B-A17B — VRAM, KV Cache & Hardware Matrix

Serverless API Rate
$0.35 in / $1.00 out per 1M
Parameters
402B (17B act.)
Attention
GQA (8 KV / 40 Q)
Layers × Hidden
48 × 5120
Max Native Context
1024k tokens
MoE Experts
2 / 128

Quantization Memory Footprint

Quantization BPW Weights Only Total @ 8k Ctx Total @ 32k Ctx Quality
FP16 16.00 763.76 GiB 766.51 GiB 771.01 GiB Lossless Reference
Q8_0 8.50 405.75 GiB 408.50 GiB 413.00 GiB Near-Lossless
Q6_K 6.57 313.62 GiB 316.37 GiB 320.87 GiB High Precision
Q5_K_M 5.69 271.61 GiB 274.36 GiB 278.86 GiB Balanced High
Q4_K_M 4.85 231.51 GiB 234.27 GiB 238.77 GiB Recommended 4-bit
MLX_4BIT 4.50 214.81 GiB 217.56 GiB 222.06 GiB Apple Silicon Optimized
IQ4_XS 4.25 202.87 GiB 205.63 GiB 210.13 GiB Compact 4-bit
Q3_K_M 3.91 186.64 GiB 189.40 GiB 193.90 GiB Aggressive Compression

Hardware Compatibility & Speed Leaderboard (Q4_K_M @ 32k Context)

Hardware Status Total / Limit Decode TTFT (4k) Max Safe Ctx Inspect
Apple Mac Studio M3 Ultra (512 GB) COMFORTABLE 238.8 / 399.4 GiB 33.2 tok/s 4.42s 1024k Simulate →
Cloud NVIDIA H200 SXM (141 GB) OOM 239.0 / 140.4 GiB OOM — OOM Simulate →
Cloud NVIDIA H100 SXM (80 GB) OOM 239.0 / 79.4 GiB OOM — OOM Simulate →
Cloud NVIDIA A100 SXM (80 GB) OOM 239.0 / 79.4 GiB OOM — OOM Simulate →
NVIDIA RTX PRO 6000 Blackwell (96 GB) OOM 239.0 / 95.0 GiB OOM — OOM Simulate →
NVIDIA RTX 5090 (32 GB) OOM 239.0 / 31.0 GiB OOM — OOM Simulate →
NVIDIA RTX 4090 (24 GB) OOM 239.0 / 23.0 GiB OOM — OOM Simulate →
NVIDIA RTX 5080 (16 GB) OOM 239.0 / 15.0 GiB OOM — OOM Simulate →
NVIDIA RTX 3090 (24 GB Used) OOM 239.0 / 23.0 GiB OOM — OOM Simulate →
NVIDIA RTX 5070 Ti (16 GB) OOM 239.0 / 15.0 GiB OOM — OOM Simulate →
AMD Radeon RX 7900 XTX (24 GB) OOM 239.0 / 23.0 GiB OOM — OOM Simulate →
Cloud NVIDIA L40S (48 GB) OOM 239.0 / 47.4 GiB OOM — OOM Simulate →
Apple Mac Studio M3 Ultra (256 GB) OOM 238.8 / 199.7 GiB OOM — OOM Simulate →
2x NVIDIA RTX 3090 Rig (48 GB) OOM 239.0 / 46.6 GiB OOM — OOM Simulate →
Apple Mac Studio M2 Ultra (192 GB) OOM 238.8 / 149.8 GiB OOM — OOM Simulate →
Apple Mac Studio M4 Max (64 GB) OOM 238.8 / 49.9 GiB OOM — OOM Simulate →
Apple Mac Studio M4 Max (128 GB) OOM 238.8 / 99.8 GiB OOM — OOM Simulate →
NVIDIA RTX 5060 Ti (16 GB) OOM 239.0 / 15.0 GiB OOM — OOM Simulate →
Apple MacBook Pro M3 Max (64 GB) OOM 238.8 / 49.9 GiB OOM — OOM Simulate →
Apple MacBook Pro M3 Max (128 GB) OOM 238.8 / 99.8 GiB OOM — OOM Simulate →
NVIDIA RTX 3060 (12 GB) OOM 239.0 / 11.0 GiB OOM — OOM Simulate →
Apple Mac Mini M4 Pro (48 GB) OOM 238.8 / 37.4 GiB OOM — OOM Simulate →
Apple Mac Mini M4 Pro (64 GB) OOM 238.8 / 49.9 GiB OOM — OOM Simulate →
Ryzen AI Max+ 395 Strix Halo (128 GB) OOM 238.8 / 96.0 GiB OOM — OOM Simulate →
Ryzen AI Max+ 395 Strix Halo (64 GB) OOM 238.8 / 48.0 GiB OOM — OOM Simulate →
Apple Mac Mini M4 (16 GB) OOM 238.8 / 10.0 GiB OOM — OOM Simulate →
Apple Mac Mini M4 (24 GB) OOM 238.8 / 18.0 GiB OOM — OOM Simulate →
Ryzen AI 9 HX 370 Mini-PC (64 GB) OOM 238.8 / 48.0 GiB OOM — OOM Simulate →

Interactive Llama 4 Maverick 400B-A17B Simulator

402B (17B active) · GQA
819 GB/s · 58 TFLOPS
3. Weight Quantization 4.85 bpw
4. KV Cache
32,768 tok
Compute Roofline
COMFORTABLE FIT Memory-Bandwidth Bound
Max Safe Ctx: 889k (1024k tuned)
Memory Allocation Footprint 238.77 / 399.36 GiB usable
Weights: 231.51 GiB KV Cache: 6.00 GiB Overhead: 1.25 GiB Headroom: 160.59 GiB
Decode Speed
33.2
tok/s (batch=1)
Prefill Speed
934
prompt tok/s
TTFT Latency
4.42s
for 4,096 tok
Active Params
17.0B
of 402B total
llama.cpp Server Command
llama-server -hf meta-llama/Llama-4-Maverick-17B-128E-Instruct:Q4_K_M -ngl 99 -fa on -c 32768 --port 8080
Context KV Cache Total VRAM Decode Status
4k 0.75 GiB 233.17 GiB 49.7 tok/s COMFORTABLE
8k 1.50 GiB 234.27 GiB 46.4 tok/s COMFORTABLE
16k 3.00 GiB 235.77 GiB 40.9 tok/s COMFORTABLE
32k 6.00 GiB 238.77 GiB 33.2 tok/s COMFORTABLE
64k 12.00 GiB 244.77 GiB 24.0 tok/s COMFORTABLE
128k 24.00 GiB 256.77 GiB 15.5 tok/s COMFORTABLE

Buy-vs-Cloud-vs-API Monthly TCO Break-Even

USE SERVERLESS API
Own Hardware/mo
$179.28
140.5h active + power
Cloud GPU/mo
$563.99
@$3.49/hr spot/pod
Serverless API/mo
$32.50
Payback: 249.7 mo

Engineering FAQ — Llama 4 Maverick 400B-A17B

How much VRAM does Llama 4 Maverick 400B-A17B require in Q4_K_M?

Llama 4 Maverick 400B-A17B weights occupy 231.51 GiB in Q4_K_M. Including 32k FP16 KV cache and runtime buffers, total memory is 238.77 GiB.

What is the cheapest local hardware that runs Llama 4 Maverick 400B-A17B?

Apple Mac Studio M3 Ultra (512 GB) (512 GB) runs Llama 4 Maverick 400B-A17B Q4_K_M at ~33.2 tok/s decode and 4.42s TTFT.

How does Llama 4 Maverick 400B-A17B scale KV cache at long context?

Llama 4 Maverick 400B-A17B uses GQA with 8 KV heads across 48 layers (128 head_dim).