DeepSeek-R1 vs Ornith-1.5-397B

Specs, VRAM requirements and download trends — updated 25 October 2026.

deepseek-ai · A · Open weights
Params
684.5 B
Context
163,840
30d
1.5 M
mit · commercial OK
ornith-ai · B · Open weights
Params
403.4 B
Context
—
30d
225 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-R1 Ornith-1.5-397B
Deployment Open weights · also via API Open weights
Parameters 684.5 B 403.4 B
Architecture DeepseekV3ForCausalLM Qwen3_5MoeForConditionalGeneration
Context length 163,840 —
Licence mit mit
Commercial use Allowed Allowed
Languages — —
Downloads 30d 1,468,488 225,272
Downloads all time 50.4 M 884 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-01-20 2026-08-18
API input price / 1M tokens $0.70 not on OpenRouter
API output price / 1M tokens $2.50 not on OpenRouter
Est. cost per 1M input + 1M output tokens $3.20 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index 11.4 not on OpenRouter
AA Coding Index 24.6 not on OpenRouter
AA Agentic Index 1.1 not on OpenRouter
Max output tokens 16,000 not on OpenRouter
API providers — 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

DeepSeek-R1 $3.20

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

9.9 M212 K
DeepSeek-R1 Ornith-1.5-397B

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Ornith-1.5-397B · fp16 948.5 GB / 24 GB
❌ Won’t fit
DeepSeek-R1 · fp16 @ 160K ctx 2,811.5 GB / 24 GB
❌ Won’t fit

Adjacent comparisons