Qwen3-14B vs Mistral-Small-3.1-24B-Instruct-2503
Specs, VRAM requirements and download trends — updated 25 October 2026.
mistralai · B · Open weights
Params
24.0 B
Context
—
30d
246 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-14B | Mistral-Small-3.1-24B-Instruct-2503 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 14.8 B | 24.0 B |
| Architecture | Qwen3ForCausalLM | Mistral3ForConditionalGeneration |
| Context length | 40,960 | 128,000 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 24 |
| Downloads 30d | 10,001,942 | 245,597 |
| Downloads all time | 38.7 M | 4.7 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2025-03-11 |
| API input price / 1M tokens | $0.12 | $0.35 |
| API output price / 1M tokens | $0.24 | $0.56 |
| Est. cost per 1M input + 1M output tokens | $0.36 | $0.91 |
| Cached input / 1M tokens | — | — |
| AA Intelligence Index | 6.7 | — |
| AA Coding Index | — | — |
| AA Agentic Index | — | — |
| Max output tokens | 16,384 | 102,400 |
| API providers | 2 | 1 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | No |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-14B
$0.36
Mistral-Small-3.1-24B-Instruct-2503
$0.91
Qwen3-14B is 2.5× cheaper at list price.
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
10.0 M246 K
Qwen3-14B
Mistral-Small-3.1-24B-Instruct-2503
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-14B · fp16
35.2 GB / 24 GB
Mistral-Small-3.1-24B-Instruct-2503 · fp16
109.8 GB / 24 GB