Llama-3.1-8B-Instruct vs NVIDIA-Nemotron-3.5-Bolt-E4B-4GB

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

meta-llama · A · Open weights
Params
8.0 B
Context
—
30d
4.5 M
llama3.1 licence · conditional
nvidia · B · Open weights
Params
4.0 B
Context
—
30d
132 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.1-8B-Instruct NVIDIA-Nemotron-3.5-Bolt-E4B-4GB
Deployment Open weights · also via API Open weights
Parameters 8.0 B 4.0 B
Architecture LlamaForCausalLM —
Context length 131,072 —
Licence llama3.1 other
Commercial use Conditional Unknown
Languages 8 34
Downloads 30d 4,504,499 132,176
Downloads all time 193.6 M 132 K
Quantizations on the Hub SAFETENSORS GGUF
Gated Yes — accept licence No
First seen on the Hub 2024-07-18 2026-10-05
API input price / 1M tokens $0.02 not on OpenRouter
API output price / 1M tokens $0.04 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.06 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index 5.4 not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 16,384 not on OpenRouter
API providers 4 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode No not on OpenRouter

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

Llama-3.1-8B-Instruct $0.06

Download trend

106 days of snapshots recorded — chart in 0 days.

193.6 M
Llama-3.1-8B-Instruct · all-time downloads
132 K
NVIDIA-Nemotron-3.5-Bolt-E4B-4GB · all-time downloads

VRAM side by side

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

NVIDIA-Nemotron-3.5-Bolt-E4B-4GB · Q4_K_M 7.9 GB / 24 GB
✅ Runs comfortably
Llama-3.1-8B-Instruct · fp16 19.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons