Skip to content
ModelCap

Head-to-head comparison

Mistral Small 3.2 24B vs gpt-oss-120b

Mistral Small 3.2 24B (Mistral AI) and gpt-oss-120b (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, gpt-oss-120b holds the stronger ModelCap Index position (#114 vs #116); and gpt-oss-120b is 1.2× cheaper per output token ($0.17/1M vs $0.20/1M).

Which should you choose?

Choose Mistral Small 3.2 24B if…

  • Arena coding is your yardstick — 1412 against 1391.

Choose gpt-oss-120b if…

  • you want the stronger overall ModelCap Index position — #114 against #116 (35.9 vs 35.7 points).
  • API cost matters — $0.17/1M output tokens against $0.20/1M, about 1.2× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.037/1M against $0.075/1M.
  • you want provider choice — 18 listed API providers against 2.
  • you want the more recently listed model — gpt-oss-120b was listed 5 August 2025, Mistral Small 3.2 24B 20 June 2025.

Mistral Small 3.2 24B vs gpt-oss-120b: specs, pricing and context

Specification comparison of Mistral Small 3.2 24B and gpt-oss-120b
FieldMistral Small 3.2 24BMistral AIgpt-oss-120bOpenAI
ModelCap Index position#116#114
Index score35.735.9
EvidenceMeasuredMeasured
Input price / 1M tokens$0.075$0.037
Output price / 1M tokens$0.20$0.17
Context window131K tokens131K tokens
Max output tokens16K118K
API providers listed218
Weight accessOpen weightsOpen weights
Input modalitiesImage, TextText
First listed20 June 20255 August 2025
PublisherMistral AIOpenAI

Evidence: 2 public benchmark observations across 2 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Mistral Small 3.2 24B vs gpt-oss-120b

Public benchmark boards where Mistral Small 3.2 24B or gpt-oss-120b has a published result
BoardMistral Small 3.2 24Bgpt-oss-120bLeads
Arena codingArena (LMArena)14121402–142213911383–1399Mistral Small 3.2 24B
SWE-benchSWE-bench (Princeton / SWE-agent team)—26.0%Only one result
BFCL V4UC Berkeley (Gorilla)37.2Function calling—Only one result
AA Intelligence IndexArtificial Analysis—12.3intelligence-index:v4.3:highOnly one result
AA Terminal-Bench 2.1Artificial Analysis—26.2%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="gpt-oss-120b (high)":reasoning=trueOnly one result
AA τ²-Bench TelecomArtificial Analysis—65.8%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="gpt-oss-120b (high)":reasoning=trueOnly one result
AA Humanity's Last ExamArtificial Analysis—19.6%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="gpt-oss-120b (high)":reasoning=trueOnly 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-oss-120b: common questions

Is Mistral Small 3.2 24B better than gpt-oss-120b?

gpt-oss-120b ranks higher on the ModelCap Index as of 9 September 2026: #114 against #116. 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-oss-120b?

gpt-oss-120b is cheaper on output tokens: $0.17/1M against $0.20/1M. Input tokens are $0.075/1M for Mistral Small 3.2 24B and $0.037/1M for gpt-oss-120b. 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 $0.16 for gpt-oss-120b. gpt-oss-120b costs 36.4% 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-oss-120b?

Both publish a 131K-token context window.

Which is better for coding, Mistral Small 3.2 24B or gpt-oss-120b?

Arena coding: Mistral Small 3.2 24B 1412, gpt-oss-120b 1391 — Mistral Small 3.2 24B leads.

Are Mistral Small 3.2 24B and gpt-oss-120b open-weight models?

Mistral Small 3.2 24B: Open weights. gpt-oss-120b: 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 gpt-oss-120b?

ModelCap currently lists 2 API providers for Mistral Small 3.2 24B and 18 for gpt-oss-120b, 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-oss-120b 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.

Explore further