Ornith 1.5 35B A3B · 5 GPUs measured first-party · llama.cpp · Updated October 2026

What GPU Do You Need for Ornith 1.5 35B A3B?

Ornith 1.5 35B A3B on 5 GPUs, measured first-party: NVIDIA GeForce RTX 5090 leads at 296.4 tok/s, L4 trails at 84.7 tok/s, and it peaked at 22GB of VRAM.

Benchmarked weights: ornith-ai/Ornith-1.5-35B-A3B-GGUF

Fastest we measured
NVIDIA GeForce RTX 5090

NVIDIA GeForce RTX 5090

296.4 tok/s on Ornith 1.5 35B A3B, the ceiling. Measured on our bench. 32GB of VRAM, $1,999 at launch.

Pros
  • 296.4 tok/s on Ornith 1.5 35B A3B
  • 32GB, clears the Ornith 1.5 35B A3B floor
Cons
  • 575W board rating
296.4tok/s
Fastest: NVIDIA GeForce RTX 5090
measured, 3-run average
~22GB
VRAM needed (measured peak)
GPU-independent, applies to every card
5
GPUs measured
same pinned harness
1.86tok/s/W
Most efficient: NVIDIA L4
real power sampling, not TDP

What GPU Do You Need for Ornith 1.5 35B A3B?, tok/s by GPU

NVIDIA GeForce RTX 5090
296.4 tok/s
NVIDIA H100 80GB HBM3
240.2 tok/s
NVIDIA L40S
181.9 tok/s
NVIDIA A10G
123.8 tok/s
NVIDIA L4
84.69 tok/s

Efficiency: tok/s per 100W drawn

NVIDIA L4
185.72 tok/s / 100W
NVIDIA GeForce RTX 5090
157.6 tok/s / 100W
NVIDIA H100 80GB HBM3
145.78 tok/s / 100W
NVIDIA L40S
134.64 tok/s / 100W
NVIDIA A10G
126.94 tok/s / 100W

Power is the average pulled during the run, sampled at 1Hz. The fastest card is often not the one here, and for anything left running this is the number that shows up on the bill.

Value: tok/s per $1,000 of MSRP

NVIDIA GeForce RTX 5090
148.29 tok/s / $1k
NVIDIA A10G
44.2 tok/s / $1k
NVIDIA L4
33.88 tok/s / $1k
NVIDIA L40S
24.25 tok/s / $1k
NVIDIA H100 80GB HBM3
8.01 tok/s / $1k

Launch price, not street price, so it ages. A speed leaderboard always crowns the most expensive card; this is the counterweight.

Ornith 1.5 35B A3B. Measured tokens per second by GPU

NVIDIA GeForce RTX 5090296.4
NVIDIA H100 80GB HBM3240.2
NVIDIA L40S181.9
NVIDIA A10G123.8
NVIDIA L484.69
GPUtok/sPrompt t/stok/WAvg power
NVIDIA GeForce RTX 5090296.48780.61.58188.1 W
NVIDIA H100 80GB HBM3240.25804.31.46164.8 W
NVIDIA L40S181.96152.41.35135.1 W
NVIDIA A10G123.82175.41.2797.5 W
NVIDIA L484.691905.11.8645.6 W

What the numbers show. Across 5 GPUs measured on our own bench, RTX 5090 is fastest at 296 tok/s. The slowest, L4, manages 84.7, so the spread is 3.5x from top to bottom. L4 is the most efficient, 84.7 tok/s at 46W.

About Ornith 1.5 35B A3B. Ornith 1.5 35B A3B: from ornith-ai, 36B parameters, on Hugging Face since August 2026, MIT licence. 5,413,067 downloads in the last 30 days and 3 community quantizations.

How it compares. H100 80GB HBM3: Ornith 1.5 35B A3B 240.2 tok/s, Qwen3.6 35B A3B 236.7 (36B), Dolphin 2.9.1 Yi 1.5 34B 76.76 (34B), Qwen3-32B 74.07 (33B), DeepSeek-R1 Distill 32B 75.8 (33B). Ornith 1.5 35B A3B beats all 4 here.

Cost on a rented GPU. 1M generated tokens of Ornith 1.5 35B A3B: $0.36 on a RTX 5090 ($0.39/hr, 56 min).

Ornith 1.5 35B A3B: cost per 1M generated tokens on rented GPUs

NVIDIA GeForce RTX 5090$0.39/hr
NVIDIA L40S$0.79/hr
NVIDIA L4$0.44/hr
NVIDIA H100 80GB HBM3$2.14/hr
GPUCheapest rateSpeed (tok/s)Cost per 1M generated tokens
NVIDIA GeForce RTX 5090$0.39/hr296.4$0.36
NVIDIA L40S$0.79/hr181.9$1.21
NVIDIA L4$0.44/hr84.69$1.44
NVIDIA H100 80GB HBM3$2.14/hr240.2$2.47

Cheapest hourly rate we track on RunPod and Vast.ai, divided by the measured speed. Startup time and storage are extra.

Speed tiers for Ornith 1.5 35B A3B. 30+ tok/s: 5 (RTX 5090). 30 tok/s is roughly where replies outpace reading.

Reading your prompt. Before Ornith 1.5 35B A3B writes anything it reads the input: 8780.6 tok/s on the RTX 5090 (0.5s for a 4,000-token prompt), 1905.1 on the L4 (2.1s). Long documents and big code files feel this number more than the generation speed.

VRAM for Ornith 1.5 35B A3B. Measured peak 20.6GB, so 24GB is the smallest common card size; smallest card it ran on: A10G (24GB). With long context: Q4_K_M 27GB (tested), Q2_K 17GB, Q3_K_M 21GB, Q5_K_M 32GB, Q6_K 38GB.

Power on Ornith 1.5 35B A3B. Most efficient: L4, 46W, 0.15 kWh per 1M generated tokens. Hungriest: RTX 5090, 188W, 0.18 kWh. At $0.15/kWh: $0.022 per 1M generated tokens.

Our verdict

Fastest on Ornith 1.5 35B A3B: NVIDIA GeForce RTX 5090, 296.4 tok/s. Cheapest to rent per job: NVIDIA GeForce RTX 5090, $0.36 per 1M generated tokens.

FAQ

What GPU do I need to run Ornith 1.5 35B A3B?
About 22GB. Cheapest consumer card that ran it: NVIDIA GeForce RTX 5090 (32GB, 296.4 tok/s).
How fast is Ornith 1.5 35B A3B on the NVIDIA GeForce RTX 5090?
296.4 tok/s at 188W, faster than every datacenter card we ran it on.
How much does it cost to run Ornith 1.5 35B A3B in the cloud?
$0.36 per 1M generated tokens on a NVIDIA GeForce RTX 5090 at $0.39/hr, cheapest of 4 rentable cards we measured.
Can I run Ornith 1.5 35B A3B on a 12GB, 16GB or 24GB card?
It used 20.6GB at the precision we tested. 12GB: no; 16GB: no; 24GB: yes.
Is the RTX 5090 or the H100 80GB HBM3 faster for Ornith 1.5 35B A3B?
The RTX 5090: 296.4 vs 240.2 tok/s, 23% faster on our bench.
Should I buy or rent a RTX 5090 for Ornith 1.5 35B A3B?
Its $1,999 launch price buys 5,139 rented hours at $0.39/hr, enough for about 5,484x 1M generated tokens of Ornith 1.5 35B A3B. Buy only if you'll run more than that.

How we test

llama.cpp llama-bench at Q4_K_M, 512-token prompt and 128 generated tokens, three runs after a warmup, full GPU offload, with power and VRAM sampled throughout. Token generation is memory-bandwidth-bound, so the ranking tracks bandwidth closely, which makes it a fair guide to cards we haven't run yet.