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Head-to-head comparison

Mistral Small 3.2 24B vs GPT-4o-mini

Mistral Small 3.2 24B (Mistral AI) and GPT-4o-mini (OpenAI) 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 #117); Mistral Small 3.2 24B is 3× cheaper per output token ($0.20/1M vs $0.60/1M); Mistral Small 3.2 24B offers the longer context window (131K vs 128K tokens); and Mistral Small 3.2 24B ships open weights.

Which should you choose?

Choose Mistral Small 3.2 24B if…

  • you want the stronger overall ModelCap Index position — #116 against #117 (35.7 vs 35.0 points).
  • API cost matters — $0.20/1M output tokens against $0.60/1M, about 3× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.075/1M against $0.15/1M.
  • you need the longer context window — 131K tokens against 128K.
  • you want to self-host: Mistral Small 3.2 24B ships open weights while GPT-4o-mini is api only.
  • you want the more recently listed model — Mistral Small 3.2 24B was listed 20 June 2025, GPT-4o-mini 18 July 2024.

Choose GPT-4o-mini if…

  • ModelCap publishes no field on which GPT-4o-mini leads Mistral Small 3.2 24B for this pair.

Mistral Small 3.2 24B vs GPT-4o-mini: specs, pricing and context

Specification comparison of Mistral Small 3.2 24B and GPT-4o-mini
FieldMistral Small 3.2 24BMistral AIGPT-4o-miniOpenAI
ModelCap Index position#116#117
Index score35.735.0
EvidenceMeasuredMeasured
Input price / 1M tokens$0.075$0.15
Output price / 1M tokens$0.20$0.60
Context window131K tokens128K tokens
Max output tokens16K16K
API providers listed22
Weight accessOpen weightsAPI only
Input modalitiesImage, TextText, Image, File
First listed20 June 202518 July 2024
PublisherMistral AIOpenAI

Evidence: 2 public benchmark observations across 2 boards · publisher-corpus-prior over 182 held-out anchors (61%); 1 specialist-board observation at 2.1% support (40%); shrunk 22.1 up toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Mistral Small 3.2 24B vs GPT-4o-mini

Public benchmark boards where Mistral Small 3.2 24B or GPT-4o-mini has a published result
BoardMistral Small 3.2 24BGPT-4o-miniLeads
Arena codingArena (LMArena)14121402–1422—Only one result
ARC-AGI-2ARC Prize Foundation—0.0%Only one result
BFCL V4UC Berkeley (Gorilla)37.2Function calling—Only one result
AA Terminal-Bench 2.1Artificial Analysis—5.6%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="GPT-4o mini":reasoning=falseOnly one result
AA Humanity's Last ExamArtificial Analysis—4.2%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GPT-4o mini":reasoning=falseOnly 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.

Mistral Small 3.2 24B vs GPT-4o-mini: common questions

Is Mistral Small 3.2 24B better than GPT-4o-mini?

Mistral Small 3.2 24B ranks higher on the ModelCap Index as of 9 September 2026: #116 against #117. 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 GPT-4o-mini?

Mistral Small 3.2 24B is cheaper on output tokens: $0.20/1M against $0.60/1M. Input tokens are $0.075/1M for Mistral Small 3.2 24B and $0.15/1M for GPT-4o-mini. 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 $0.60 for GPT-4o-mini. Mistral Small 3.2 24B costs 58.3% 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 GPT-4o-mini?

Mistral Small 3.2 24B has the larger context window: 131K tokens against 128K.

Which is better for coding, Mistral Small 3.2 24B or GPT-4o-mini?

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 Mistral Small 3.2 24B and GPT-4o-mini open-weight models?

Mistral Small 3.2 24B: Open weights. GPT-4o-mini: API only. 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 GPT-4o-mini?

ModelCap currently lists 2 API providers for Mistral Small 3.2 24B and 2 for GPT-4o-mini, 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 GPT-4o-mini 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.

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