# O3 MiniLow

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OpenAI

Canonical URL: https://benchize.com/models/o3-mini-low
Last updated: Thu, 22 Oct 2026 07:32:33 GMT

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OpenAI

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Source |  |
| --- | --- | --- | --- | --- | --- | --- |
| [MASK](https://benchize.com/benchmarks/scale%3Amask.md) | 49.73source score | CI 46.5–52.96 | 17 / 25 | — | [scale](https://labs.scale.com/leaderboard/mask) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 49.73 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort low Model configuration o3 mini (Low) sourceModelVersion o3-mini-2025-01-31 (low) thinkingEnabled true ### Reported statistics Uncertainty Confidence interval: 46.5–52.96 contaminationWarning Not reported rank 53 reportedConfidenceHalfWidth 3.23 ### Source [Original source](https://labs.scale.com/leaderboard/mask) Source scale Original model label o3 mini (Low) Observed 2026-10-22T03:30:12.706Z Evidence SHA-256 `fe1699303dff9a092aff10128cfc39d63ddc0680c0d241345fa747c450597b67` Source locator `/rows/52` |  |  |  |  |  |  |
| [AIME 2025](https://benchize.com/benchmarks/aime-2025.md) | 48.33% | 95% CI 39.39–57.27% | 31 / 36 | 0.01usd per problem | [matharena · aime--aime_2025](https://matharena.ai/competition_tables/aime--aime_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 48.33 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.011 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2025 predicted false Reasoning effort low sourceModelName o3-mini (low) sourceModelVersion openai/o3-mini--low thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 39.39–57.27% confidenceInterval95 8.94 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2025) Source matharena Original model label o3-mini (low) Source version aime--aime_2025 Observed 2026-10-22T05:30:11.892Z Evidence SHA-256 `fab0abcecc4032852ef2cbd2a84d34ffc42202be358b2994bfaba44ae7a0cd9a` Source locator `/table/rows/52` |  |  |  |  |  |  |
| [ARC-AGI-2](https://benchize.com/benchmarks/arc-prize%3Av2_Semi_Private.md) | 0% | — | 231 / 243 | 0.06usd per task | [arc prize · v2](https://arcprize.org/media/data/leaderboard/v2.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0 \| score_fraction \| v2_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.0623 \| usd_per_task \| v2_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v2_Semi_Private harness Not reported modelGroup o3-mini modelType CoT Reasoning effort low sourceModelVersion o3-mini-2025-01-31-low thinkingEnabled true ### Source [Original source](https://arcprize.org/media/data/leaderboard/v2.json) Source arc prize Original model label o3-mini (Low) Source version v2 Observed 2026-10-22T05:20:04.306Z Evidence SHA-256 `4351eb696e78113b0459e9bb5f0258318b905efef34f473dcea51ce641b0d94d` Source locator `/evaluations/21` |  |  |  |  |  |  |
| [ARC-AGI-1](https://benchize.com/benchmarks/arc-prize%3Av1_Semi_Private.md) | 14.5% | — | 221 / 245 | 0.05usd per task | [arc prize · v1](https://arcprize.org/media/data/leaderboard/v1.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.145 \| score_fraction \| v1_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.0519 \| usd_per_task \| v1_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v1_Semi_Private harness Not reported modelGroup o3-mini modelType CoT Reasoning effort low sourceModelVersion o3-mini-2025-01-31-low thinkingEnabled true ### Source [Original source](https://arcprize.org/media/data/leaderboard/v1.json) Source arc prize Original model label o3-mini (Low) Source version v1 Observed 2026-10-22T05:20:04.066Z Evidence SHA-256 `2bf68d22dafba37047d07ad833ebc0e8199c9aa2f9eeaed50c75c1b704462836` Source locator `/evaluations/19` |  |  |  |  |  |  |
| [HMMT Feb 2025](https://benchize.com/benchmarks/matharena%3Ahmmt--hmmt_feb_2025.md) | 28.33% | 95% CI 20.27–36.39% | 31 / 35 | 0.01usd per problem | [matharena · hmmt--hmmt_feb_2025](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 28.33 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.012 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition hmmt--hmmt_feb_2025 predicted false Reasoning effort low sourceModelName o3-mini (low) sourceModelVersion openai/o3-mini--low thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 20.27–36.39% confidenceInterval95 8.06 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) Source matharena Original model label o3-mini (low) Source version hmmt--hmmt_feb_2025 Observed 2026-10-22T05:30:12.126Z Evidence SHA-256 `8554225c26eb7a3c2649943ee7cf6b404ec1f7441b20fbdcfccbf35b9a864864` Source locator `/table/rows/52` |  |  |  |  |  |  |

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Cite as: O3 MiniLow — Benchize, https://benchize.com/models/o3-mini-low (retrieved 2026-10-22)