# Ornith-1.5-35B-A3B

> Source: <https://tokenstead.ai/models/ornith-1-5-35b-a3b>
> Published: 2026-08-24 20:51:38+00:00

# Ornith-1.5-35B-A3B

MoE enthusiast**~36B total, ~3B active per token (MoE)** - the local-favorite Ornith-1.5 size, released 2026-08-18. Activates only 3B parameters per token yet outperforms dense models like Gemma 4-31B and Qwen 3.6-35B on agentic coding. 262K context, MIT-licensed on HuggingFace at `ornith-ai/Ornith-1.5-35B-A3B`

(GGUF, FP8, and NVFP4 quantizations).

-
**Coding (vendor self-reported):** Terminal-Bench 2.1 67.8, SWE-bench Verified 79.0, SWE-bench Pro 59.6, NL2Repo 46.2. -
**Reasoning:** HLE 25.6 (no tools) / 33.4 (with tools), GPQA-Diamond 89.2. -
**Agentic:** MCP-Atlas 70.2, Toolathlon-Verified 48.7, ClawEval 72.5.

**Local-friendly.** Runs on enthusiast-class GPUs via GGUF quantizations; a strong open-weight pick for local agentic coding. Vendor benchmarks are claims pending independent replication.

- 36.0B
- 262k
- mit
- 🇺🇸 USA
- Aug 2026

## Scores

## Run it locally

Per-quant memory needs and a static "can you run it?" reference - no rig entry required

### Can you run it? - reference rigs

| Rig | Q4_K_M | Q5_K_M | Q6_K | Q8_0 | BF16 |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin NX 16GB |
|

[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.

## Download options

## Or run it in the cloud

No per-token API provider pricing tracked for Ornith-1.5-35B-A3B yet.
For flagship list prices, see the
[calculator](/calculator).

## Inference cost over time

Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.