Qwen2.5-7B-Instruct vs LFM2.5-2.6B
Specs, VRAM requirements and download trends — updated 4 September 2026.
Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.0 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-7B-Instruct | LFM2.5-2.6B |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 7.6 B | 2.7 B |
| Architecture | Qwen2ForCausalLM | Lfm2ForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | 16 |
| Downloads 30d | 6,037,480 | 187,515 |
| Downloads all time | 194.0 M | 204 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-16 | 2026-07-28 |
| API input price / 1M tokens | $0.10 | $0.35 |
| API output price / 1M tokens | $0.20 | $0.50 |
| Est. cost per 1M input + 1M output tokens | $0.30 | $0.85 |
| Cached input / 1M tokens | — | $0.04 |
| AA Intelligence Index | — | — |
| AA Coding Index | — | 7.7 |
| AA Agentic Index | — | — |
| Max output tokens | 29,491 | 8,192 |
| API providers | 1 | 1 |
| Tool calling | Yes | Yes |
| Reasoning mode | No | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen2.5-7B-Instruct
$0.30
LFM2.5-2.6B
$0.85
Qwen2.5-7B-Instruct is 2.8× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
12.3 M183 K
Qwen2.5-7B-Instruct
LFM2.5-2.6B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
LFM2.5-2.6B · fp16 @ 128K ctx
12.9 GB / 24 GB
Qwen2.5-7B-Instruct · fp16
18.4 GB / 24 GB