Llama-3.1-8B-Instruct vs Mistral-Nemo-Instruct-2407

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

meta-llama · A · Open weights
Params
8.0 B
Context
—
30d
4.9 M
llama3.1 licence · conditional
mistralai · B · Open weights
Params
12.2 B
Context
131,072
30d
191 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.1-8B-Instruct Mistral-Nemo-Instruct-2407
Deployment Open weights · also via API Open weights · also via API
Parameters 8.0 B 12.2 B
Architecture LlamaForCausalLM MistralForCausalLM
Context length 131,072 131,072
Licence llama3.1 apache-2.0
Commercial use Conditional Allowed
Languages 8 9
Downloads 30d 4,880,965 191,347
Downloads all time 191.2 M 10.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-07-18 2024-07-17
API input price / 1M tokens $0.05 $0.029
API output price / 1M tokens $0.08 $0.03
Est. cost per 1M input + 1M output tokens $0.13 $0.059
Cached input / 1M tokens $0.025 —
AA Intelligence Index 6.9 —
AA Coding Index 5.4 —
AA Agentic Index — —
Max output tokens 117,964 16,384
API providers 5 5
Tool calling Yes Yes
Reasoning mode No No

API cost

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

Llama-3.1-8B-Instruct $0.13
Mistral-Nemo-Instruct-2407 $0.059

Mistral-Nemo-Instruct-2407 is 2.2× cheaper at list price.

Download trend

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

8.0 M191 K
Llama-3.1-8B-Instruct Mistral-Nemo-Instruct-2407

VRAM side by side

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

Llama-3.1-8B-Instruct · fp16 19.4 GB / 24 GB
✅ Runs comfortably
Mistral-Nemo-Instruct-2407 · fp16 @ 128K ctx 83.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons