Qwen3-32B vs Ornith-1.0-35B-FP8
Specs, VRAM requirements and download trends — updated 10 November 2026.
deepreinforce-ai · B · Open weights
Params
35.1 B
Context
—
30d
945 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-32B | Ornith-1.0-35B-FP8 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 32.8 B | 35.1 B |
| Architecture | Qwen3ForCausalLM | Qwen3_5MoeForConditionalGeneration |
| Context length | 40,960 | — |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 2,980,175 | 945,054 |
| Downloads all time | 62.7 M | 1.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2026-06-26 |
| API input price / 1M tokens | $0.08 | not on OpenRouter |
| API output price / 1M tokens | $0.28 | not on OpenRouter |
| Est. cost per 1M input + 1M output tokens | $0.36 | not on OpenRouter |
| Cached input / 1M tokens | — | not on OpenRouter |
| AA Intelligence Index | — | not on OpenRouter |
| AA Coding Index | 15.3 | not on OpenRouter |
| AA Agentic Index | 0.9 | not on OpenRouter |
| Max output tokens | 16,384 | not on OpenRouter |
| API providers | 3 | not on OpenRouter |
| Tool calling | Yes | not on OpenRouter |
| Reasoning mode | Yes | not on OpenRouter |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-32B
$0.36
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
8.0 M945 K
Qwen3-32B
Ornith-1.0-35B-FP8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Ornith-1.0-35B-FP8 · fp16
47.2 GB / 24 GB
Qwen3-32B · fp16
77.5 GB / 24 GB