Gemma-4-31B-IT-NVFP4 vs Llama-3.1-70B-Instruct

Specs, VRAM requirements and download trends — updated 6 August 2026.

nvidia · A · Open weights
Params
20.9 B
Context
—
30d
1.1 M
meta-llama · B · Open weights
Params
70.6 B
Context
—
30d
203 K
llama3.1 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Gemma-4-31B-IT-NVFP4 Llama-3.1-70B-Instruct
Deployment Open weights Open weights · also via API
Parameters 20.9 B 70.6 B
Architecture Gemma4ForConditionalGeneration LlamaForCausalLM
Context length — 131,072
Licence other llama3.1
Commercial use Unknown Conditional
Languages — 8
Downloads 30d 1,136,331 203,439
Downloads all time 14.3 M 24.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2026-04-02 2024-07-16
API input price / 1M tokens not on OpenRouter $0.72
API output price / 1M tokens not on OpenRouter $0.72
Est. cost per 1M input + 1M output tokens not on OpenRouter $1.44
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 8,192
API providers not on OpenRouter 1
Tool calling not on OpenRouter No
Reasoning mode not on OpenRouter No

API cost

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

Llama-3.1-70B-Instruct $1.44

Download trend

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

2.4 M203 K
Gemma-4-31B-IT-NVFP4 Llama-3.1-70B-Instruct

VRAM side by side

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

Gemma-4-31B-IT-NVFP4 · fp16 39.5 GB / 24 GB
❌ Won’t fit
Llama-3.1-70B-Instruct · fp16 166.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons