Qwen3-14B vs DeepSeek-V2-Lite-Chat
Specs, VRAM requirements and download trends — updated 25 October 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-14B | DeepSeek-V2-Lite-Chat |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 14.8 B | 15.7 B |
| Architecture | Qwen3ForCausalLM | DeepseekV2ForCausalLM |
| Context length | 40,960 | 163,840 |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | — | — |
| Downloads 30d | 10,001,942 | 203,501 |
| Downloads all time | 38.7 M | 7.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2024-05-15 |
| API input price / 1M tokens | $0.12 | not on OpenRouter |
| API output price / 1M tokens | $0.24 | 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 | 6.7 | 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 | 2 | 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
Qwen3-14B
$0.36
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
10.0 M204 K
Qwen3-14B
DeepSeek-V2-Lite-Chat
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-14B · fp16
35.2 GB / 24 GB
DeepSeek-V2-Lite-Chat · fp16 @ 160K ctx
82.2 GB / 24 GB