Mistral Small 3.2 24B (Mistral AI) and Qwen3 32B (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 9 September 2026
As of 9 September 2026, Mistral Small 3.2 24B holds the stronger ModelCap Index position (#116 vs #119); and Mistral Small 3.2 24B is 1.4× cheaper per output token ($0.20/1M vs $0.28/1M).
Evidence: 2 public benchmark observations across 2 boards · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Mistral Small 3.2 24B vs Qwen3 32B
Public benchmark boards where Mistral Small 3.2 24B or Qwen3 32B has a published result
Mistral Small 3.2 24B vs Qwen3 32B: common questions
Is Mistral Small 3.2 24B better than Qwen3 32B?
Mistral Small 3.2 24B ranks higher on the ModelCap Index as of 9 September 2026: #116 against #119. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is Mistral Small 3.2 24B cheaper than Qwen3 32B?
Mistral Small 3.2 24B is cheaper on output tokens: $0.20/1M against $0.28/1M. Input tokens are $0.075/1M for Mistral Small 3.2 24B and $0.08/1M for Qwen3 32B. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.25 for Mistral Small 3.2 24B versus $0.30 for Qwen3 32B. Mistral Small 3.2 24B costs 16.7% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, Mistral Small 3.2 24B or Qwen3 32B?
Both publish a 131K-token context window.
Which is better for coding, Mistral Small 3.2 24B or Qwen3 32B?
Arena coding: Mistral Small 3.2 24B 1412, Qwen3 32B 1407 — Mistral Small 3.2 24B leads.
Are Mistral Small 3.2 24B and Qwen3 32B open-weight models?
Mistral Small 3.2 24B: Open weights. Qwen3 32B: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run Mistral Small 3.2 24B and Qwen3 32B?
ModelCap currently lists 2 API providers for Mistral Small 3.2 24B and 2 for Qwen3 32B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Mistral Small 3.2 24B vs Qwen3 32B comparison?
Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.