NousResearch / text-generation Open weights Also via API updated 1 year ago

Hermes-4-405B

Hermes 4 405B is a frontier, hybrid-mode reasoning model based on Llama-3.1-405B by Nous Research that is aligned to you.

Params
405.9 B
Context
131,072
Downloads 30d
1 K
Likes
97
Commercial use: conditional · llama3 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (5 recorded)
1 K downloads in the last 30 days

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors bf16 811.7 GB 954.3 GB ❌ Won’t fit
model.safetensors (bf16, full) bf16 + 128K ctx 811.7 GB 1,867.4 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · curl · api/v1
$ curl -s https://aimodelscomparison.com/api/v1/models/hermes-4-405b
{
  "hf_id": "NousResearch/Hermes-4-405B",
  "params_b": 405.85,
  "context_length": 131072,
  "license": { "id": "llama3", "commercial": "conditional" },
  "downloads_30d": 1216,
  "vram_estimates": [
    { "quant": "bf16", "gb": 954.3 }
  ],
  "updated_at": "2026-10-19T06:00:42Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Use via API

via OpenRouter · USD per 1M tokens · synced 2026-10-24
$1.00
input / 1M
$3.00
output / 1M
—
cached input / 1M
$4.00
1M in + 1M out
Context window
131,072 tokens
Max output
117,964 tokens
Providers
1
Cheapest provider
Nebius · $1.00 / $3.00
Best throughput
—
AA Intelligence / Coding / Agentic
7.5 / — / —
✗ Tool calling ✓ Reasoning ✓ Structured outputs ✗ Image input ✗ File input ✗ Audio input ✗ Prompt caching

Specifications

Architecture
LlamaForCausalLM
Parameters
405.9 B
Tensor type
BF16
Context length
131,072
Vocabulary
128,256
Layers / heads
126 / 128
Licence
llama3
First seen on the Hub
2025-08-06
Training datasets
undisclosed
Added to our catalog
2026-10-20
Compare with any text-generation model