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

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
18 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-32B LFM2.5-24B-A2B
Deployment Open weights · also via API Open weights · also via API
Parameters 32.8 B 24.0 B
Architecture Qwen3ForCausalLM Lfm2MoeForCausalLM
Context length 40,960 131,072
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 16
Downloads 30d 2,880,776 18,100
Downloads all time 61.0 M 18 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2026-10-12
API input price / 1M tokens $0.08 $0.05
API output price / 1M tokens $0.28 $0.70
Est. cost per 1M input + 1M output tokens $0.36 $0.75
Cached input / 1M tokens — $0.025
AA Intelligence Index 7.3 —
AA Coding Index — —
AA Agentic Index — —
Max output tokens 16,384 8,192
API providers 3 1
Tool calling Yes Yes
Reasoning mode Yes Yes

API cost

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

Qwen3-32B $0.36
LFM2.5-24B-A2B $0.75

Qwen3-32B is 2.1× cheaper at list price.

Download trend

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

10.1 M13 K
Qwen3-32B LFM2.5-24B-A2B

VRAM side by side

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

Qwen3-32B · fp16 77.5 GB / 24 GB
❌ Won’t fit
LFM2.5-24B-A2B · fp16 @ 128K ctx 110.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons