Qwen3-8B vs LFM2.5-24B-A2B

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

Qwen · A · Open weights
Params
8.2 B
Context
40,960
30d
8.2 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 Qwen3-8B LFM2.5-24B-A2B
Deployment Open weights Open weights · also via API
Parameters 8.2 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 8,164,793 18,100
Downloads all time 133.8 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 not on OpenRouter $0.05
API output price / 1M tokens not on OpenRouter $0.70
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.75
Cached input / 1M tokens not on OpenRouter $0.025
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 Yes
Reasoning mode not on OpenRouter Yes

API cost

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

LFM2.5-24B-A2B $0.75

Download trend

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

16.6 M13 K
Qwen3-8B LFM2.5-24B-A2B

VRAM side by side

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

Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context
LFM2.5-24B-A2B · fp16 @ 128K ctx 110.8 GB / 24 GB
❌ Won’t fit

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