Qwen3-32B vs Mistral-Small-3.2-24B-Instruct-2506
Specs, VRAM requirements and download trends — updated 25 October 2026.
mistralai · B · Open weights
Params
24.0 B
Context
—
30d
188 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-32B | Mistral-Small-3.2-24B-Instruct-2506 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 32.8 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 | 2,880,776 | 187,946 |
| Downloads all time | 61.0 M | 5.6 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2025-06-19 |
| API input price / 1M tokens | $0.08 | $0.075 |
| API output price / 1M tokens | $0.28 | $0.20 |
| Est. cost per 1M input + 1M output tokens | $0.36 | $0.28 |
| Cached input / 1M tokens | — | — |
| AA Intelligence Index | 7.3 | — |
| AA Coding Index | — | — |
| AA Agentic Index | — | — |
| Max output tokens | 16,384 | 16,384 |
| API providers | 3 | 4 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | No |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-32B
$0.36
Mistral-Small-3.2-24B-Instruct-2506
$0.28
Mistral-Small-3.2-24B-Instruct-2506 is 1.3× cheaper at list price.
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
10.1 M188 K
Qwen3-32B
Mistral-Small-3.2-24B-Instruct-2506
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-32B · fp16
77.5 GB / 24 GB
Mistral-Small-3.2-24B-Instruct-2506 · fp16
109.8 GB / 24 GB