Mistral Large 4 (Mistral AI) and Mistral Small 3.2 24B (Mistral AI) 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 11 October 2026
As of 11 October 2026, Mistral Large 4 holds the stronger ModelCap Index position (#62 vs #147); Mistral Small 3.2 24B is 8.4× cheaper per output token ($0.25/1M vs $2.09/1M); Mistral Large 4 offers the longer context window (1M vs 256K tokens); and Mistral Small 3.2 24B ships open weights.
Evidence: 3 public benchmark observations across 3 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 Large 4 vs Mistral Small 3.2 24B
Public benchmark boards where Mistral Large 4 or Mistral Small 3.2 24B has a published result
Mistral Large 4 vs Mistral Small 3.2 24B: common questions
Is Mistral Large 4 better than Mistral Small 3.2 24B?
Mistral Large 4 ranks higher on the ModelCap Index as of 11 October 2026: #62 against #147. 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 do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
Is Mistral Large 4 cheaper than Mistral Small 3.2 24B?
Mistral Small 3.2 24B is cheaper on output tokens: $0.25/1M against $2.09/1M. Input tokens are $0.68/1M for Mistral Large 4 and $0.094/1M for Mistral Small 3.2 24B. 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 $2.40 for Mistral Large 4 versus $0.31 for Mistral Small 3.2 24B. Mistral Small 3.2 24B costs 87.0% 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 Large 4 or Mistral Small 3.2 24B?
Mistral Large 4 has the larger context window: 1M tokens against 256K. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.
Which is better for coding, Mistral Large 4 or Mistral Small 3.2 24B?
Arena coding: Mistral Large 4 1492, Mistral Small 3.2 24B 1412 — Mistral Large 4 leads.
Are Mistral Large 4 and Mistral Small 3.2 24B open-weight models?
Mistral Large 4: No linked weights. Mistral Small 3.2 24B: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.
Where can I run Mistral Large 4 and Mistral Small 3.2 24B?
ModelCap currently lists 1 API provider for Mistral Large 4 and 4 for Mistral Small 3.2 24B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Mistral Large 4 vs Mistral Small 3.2 24B comparison?
Every figure and ModelCap Index position comes from the same published snapshot dated 11 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.