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

296.4 tok/s on Ornith 1.5 35B A3B, the ceiling. Measured on our bench. 32GB of VRAM, $1,999 at launch.
What GPU Do You Need for Ornith 1.5 35B A3B?, tok/s by GPU
Efficiency: tok/s per 100W drawn
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
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
| GPU | tok/s | Prompt t/s | tok/W | Avg power |
|---|---|---|---|---|
| NVIDIA GeForce RTX 5090 | 296.4 | 8780.6 | 1.58 | 188.1 W |
| NVIDIA H100 80GB HBM3 | 240.2 | 5804.3 | 1.46 | 164.8 W |
| NVIDIA L40S | 181.9 | 6152.4 | 1.35 | 135.1 W |
| NVIDIA A10G | 123.8 | 2175.4 | 1.27 | 97.5 W |
| NVIDIA L4 | 84.69 | 1905.1 | 1.86 | 45.6 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
| GPU | Cheapest rate | Speed (tok/s) | Cost per 1M generated tokens |
|---|---|---|---|
| NVIDIA GeForce RTX 5090 | $0.39/hr | 296.4 | $0.36 |
| NVIDIA L40S | $0.79/hr | 181.9 | $1.21 |
| NVIDIA L4 | $0.44/hr | 84.69 | $1.44 |
| NVIDIA H100 80GB HBM3 | $2.14/hr | 240.2 | $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.
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.
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.