DeepSeek-V4-Flash vs Ornith-1.5-122B-FP8

Specs, VRAM requirements and download trends — updated 10 November 2026.

deepseek-ai · A · Open weights
Params
158.1 B
Context
1,048,576
30d
1.2 M
mit · commercial OK
ornith-ai · B · Open weights
Params
125.1 B
Context
—
30d
413 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V4-Flash Ornith-1.5-122B-FP8
Deployment Open weights · also via API Open weights
Parameters 158.1 B 125.1 B
Architecture DeepseekV4ForCausalLM Qwen3_5MoeForConditionalGeneration
Context length 1,048,576 —
Licence mit mit
Commercial use Allowed Allowed
Languages — —
Downloads 30d 1,151,336 413,241
Downloads all time 13.7 M 413 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-04-22 2026-10-20
API input price / 1M tokens $0.091 not on OpenRouter
API output price / 1M tokens $0.18 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.27 not on OpenRouter
Cached input / 1M tokens $0.018 not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index 56.2 not on OpenRouter
AA Agentic Index 22.2 not on OpenRouter
Max output tokens 943,717 not on OpenRouter
API providers 13 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-V4-Flash $0.27

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

2.3 M144 K
DeepSeek-V4-Flash Ornith-1.5-122B-FP8

VRAM side by side

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

Ornith-1.5-122B-FP8 · fp16 165.5 GB / 24 GB
❌ Won’t fit
DeepSeek-V4-Flash · fp16 @ 1024K ctx 3,211.0 GB / 24 GB
❌ Won’t fit

Adjacent comparisons