Skip to content
ModelCap

Head-to-head comparison

MiniMax-01 vs Mistral Small 3.2 24B

MiniMax-01 (MiniMax) 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 22 September 2026

As of 22 September 2026, Mistral Small 3.2 24B holds the stronger ModelCap Index position (#133 vs #134); Mistral Small 3.2 24B is 4.4× cheaper per output token ($0.25/1M vs $1.10/1M); MiniMax-01 offers the longer context window (1M vs 256K tokens); and Mistral Small 3.2 24B ships open weights.

Which should you choose?

Choose MiniMax-01 if…

  • you need the longer context window — 1M tokens against 256K.

Choose Mistral Small 3.2 24B if…

  • you want the stronger overall ModelCap Index position — #133 against #134 (41.9 vs 41.2 points).
  • API cost matters — $0.25/1M output tokens against $1.10/1M, about 4.4× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.094/1M against $0.20/1M.
  • you want to self-host: Mistral Small 3.2 24B ships open weights while MiniMax-01 is license unverified.
  • you want provider choice — 3 listed API providers against 1.
  • you want the more recently listed model — Mistral Small 3.2 24B was listed 20 June 2025, MiniMax-01 15 January 2025.

MiniMax-01 vs Mistral Small 3.2 24B: specs, pricing and context

Specification comparison of MiniMax-01 and Mistral Small 3.2 24B
FieldMiniMax-01MiniMaxMistral Small 3.2 24BMistral AI
ModelCap Index position#134#133
Index score41.241.9
EvidenceEstimatedMeasured
Input price / 1M tokens$0.20$0.094
Output price / 1M tokens$1.10$0.25
Context window1M tokens256K tokens
Max output tokens900K16K
API providers listed13
Weight accessLicense unverifiedOpen weights
Input modalitiesText, ImageImage, Text
First listed15 January 202520 June 2025
PublisherMiniMaxMistral AI

Evidence: publisher-corpus-prior over 208 held-out anchors (44%); launch card against 2 resolved peers on 4 rows (56%); optimism haircut 6.45 from cross-lab-probe; shrunk 8.3 up toward the measured corpus · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: MiniMax-01 vs Mistral Small 3.2 24B

Public benchmark boards where MiniMax-01 or Mistral Small 3.2 24B has a published result
BoardMiniMax-01Mistral Small 3.2 24BLeads
Arena codingArena (LMArena)—14121402–1422Only one result
BFCL V4UC Berkeley (Gorilla)—37.2Function callingOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

MiniMax-01 vs Mistral Small 3.2 24B: common questions

Is MiniMax-01 better than Mistral Small 3.2 24B?

Mistral Small 3.2 24B ranks higher on the ModelCap Index as of 22 September 2026: #133 against #134. 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 MiniMax-01 cheaper than Mistral Small 3.2 24B?

Mistral Small 3.2 24B is cheaper on output tokens: $0.25/1M against $1.10/1M. Input tokens are $0.20/1M for MiniMax-01 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 $0.95 for MiniMax-01 versus $0.31 for Mistral Small 3.2 24B. Mistral Small 3.2 24B costs 67.1% 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, MiniMax-01 or Mistral Small 3.2 24B?

MiniMax-01 has the larger context window: 1M tokens against 256K.

Which is better for coding, MiniMax-01 or Mistral Small 3.2 24B?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are MiniMax-01 and Mistral Small 3.2 24B open-weight models?

MiniMax-01: License unverified. Mistral Small 3.2 24B: 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 MiniMax-01 and Mistral Small 3.2 24B?

ModelCap currently lists 1 API provider for MiniMax-01 and 3 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 MiniMax-01 vs Mistral Small 3.2 24B comparison?

Every figure comes from the sealed ModelCap dataset published 22 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.

Explore further