Qwen3-32B vs LFM2.5-24B-A2B-GGUF

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

Qwen · A · Open weights
Params
32.8 B
Context
40,960
30d
2.9 M
apache-2.0 · commercial OK
LiquidAI · B · Open weights
Params
24.0 B
Context
131,072
30d
177 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-32B LFM2.5-24B-A2B-GGUF
Deployment Open weights · also via API Open weights
Parameters 32.8 B 24.0 B
Architecture Qwen3ForCausalLM —
Context length 40,960 131,072
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 10
Downloads 30d 2,880,776 176,551
Downloads all time 61.0 M 177 K
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2025-04-27 2026-10-09
API input price / 1M tokens $0.08 not on OpenRouter
API output price / 1M tokens $0.28 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.36 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index 7.3 not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 16,384 not on OpenRouter
API providers 3 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode Yes not on OpenRouter

API cost

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

Qwen3-32B $0.36

Download trend

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

10.1 M144 K
Qwen3-32B LFM2.5-24B-A2B-GGUF

VRAM side by side

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

LFM2.5-24B-A2B-GGUF · Q4_K_M 20.1 GB / 24 GB
⚠️ Tight — reduce context
Qwen3-32B · fp16 77.5 GB / 24 GB
❌ Won’t fit

Adjacent comparisons