Llama-3.1-70B-Instruct vs Qwen3-Coder-Next-FP8-dynamic

Specs, VRAM requirements and download trends — updated 20 August 2026.

meta-llama · A · Open weights
Params
70.6 B
Context
—
30d
203 K
llama3.1 licence · conditional
RedHatAI · B · Open weights
Params
79.8 B
Context
262,144
30d
170 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.1-70B-Instruct Qwen3-Coder-Next-FP8-dynamic
Deployment Open weights · also via API Open weights
Parameters 70.6 B 79.8 B
Architecture LlamaForCausalLM Qwen3NextForCausalLM
Context length 131,072 262,144
Licence llama3.1 apache-2.0
Commercial use Conditional Allowed
Languages 8 —
Downloads 30d 203,439 169,988
Downloads all time 24.5 M 1.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-07-16 2026-02-27
API input price / 1M tokens $0.72 not on OpenRouter
API output price / 1M tokens $0.72 not on OpenRouter
Est. cost per 1M input + 1M output tokens $1.44 not on OpenRouter
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 8,192 not on OpenRouter
API providers 1 not on OpenRouter
Tool calling No not on OpenRouter
Reasoning mode No not on OpenRouter

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)

864 K170 K
Llama-3.1-70B-Instruct Qwen3-Coder-Next-FP8-dynamic A overtook B on 20 Oct

VRAM side by side

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

Llama-3.1-70B-Instruct · fp16 166.3 GB / 24 GB
❌ Won’t fit
Qwen3-Coder-Next-FP8-dynamic · fp16 @ 256K ctx 473.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons