# O3 MiniMedium

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OpenAI

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

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OpenAI

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Source |  |
| --- | --- | --- | --- | --- | --- | --- |
| [Humanity's Last Exam (Text Only)](https://benchize.com/benchmarks/scale%3Ahumanitys_last_exam_text_only.md) | 10.31source score | CI 9.03–11.59 | 13 / 25 | — | [scale](https://labs.scale.com/leaderboard/humanitys_last_exam_text_only) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 10.31 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort medium Model configuration o3 mini (medium) sourceModelVersion Not reported thinkingEnabled true ### Reported statistics Uncertainty Confidence interval: 9.03–11.59 contaminationWarning Potential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. rank 38 reportedConfidenceHalfWidth 1.28 ### Source [Original source](https://labs.scale.com/leaderboard/humanitys_last_exam_text_only) Source scale Original model label o3 mini (medium) Observed 2026-10-22T03:30:09.372Z Evidence SHA-256 `16bd91dbd41a73afd31ff09fba3b9b08e9e3e2cfe682c50cc3b2bf8397610af6` Source locator `/rows/37` |  |  |  |  |  |  |
| [Agentic Tool Use (Enterprise)](https://benchize.com/benchmarks/scale%3Atool_use_enterprise.md) | 64.93source score | CI 59.42–70.44 | 3 / 11 | — | [scale](https://labs.scale.com/leaderboard/tool_use_enterprise) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 64.93 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort medium Model configuration o3-mini (medium) sourceModelVersion Not reported thinkingEnabled true ### Reported statistics Uncertainty Confidence interval: 59.42–70.44 contaminationWarning Not reported rank 9 reportedConfidenceHalfWidth 5.51 ### Source [Original source](https://labs.scale.com/leaderboard/tool_use_enterprise) Source scale Original model label o3-mini (medium) Observed 2026-10-22T03:30:14.304Z Evidence SHA-256 `6a7b613a8a23135f5c03f151a64f6114024a94e1475b3ab65ad0a5c854562447` Source locator `/rows/8` |  |  |  |  |  |  |
| [AIME 2025](https://benchize.com/benchmarks/aime-2025.md) | 76.67% | 95% CI 69.1–84.24% | 24 / 36 | 0.03usd per problem | [matharena · aime--aime_2025](https://matharena.ai/competition_tables/aime--aime_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 76.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.027 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2025 predicted false Reasoning effort medium sourceModelName o3-mini (medium) sourceModelVersion openai/o3-mini--medium thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 69.1–84.24% confidenceInterval95 7.57 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2025) Source matharena Original model label o3-mini (medium) Source version aime--aime_2025 Observed 2026-10-22T05:30:11.892Z Evidence SHA-256 `fab0abcecc4032852ef2cbd2a84d34ffc42202be358b2994bfaba44ae7a0cd9a` Source locator `/table/rows/38` |  |  |  |  |  |  |
| [ARC-AGI-2](https://benchize.com/benchmarks/arc-prize%3Av2_Semi_Private.md) | 2.08% | — | 193 / 243 | 0.28usd per task | [arc prize · v2](https://arcprize.org/media/data/leaderboard/v2.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.0208 \| score_fraction \| v2_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.2843 \| usd_per_task \| v2_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v2_Semi_Private harness Not reported modelGroup o3-mini modelType CoT Reasoning effort medium sourceModelVersion o3-mini-2025-01-31-medium thinkingEnabled true ### Source [Original source](https://arcprize.org/media/data/leaderboard/v2.json) Source arc prize Original model label o3-mini (Medium) Source version v2 Observed 2026-10-22T05:20:04.306Z Evidence SHA-256 `4351eb696e78113b0459e9bb5f0258318b905efef34f473dcea51ce641b0d94d` Source locator `/evaluations/22` |  |  |  |  |  |  |
| [MASK](https://benchize.com/benchmarks/scale%3Amask.md) | 48.93source score | CI 47.68–50.18 | 20 / 25 | — | [scale](https://labs.scale.com/leaderboard/mask) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 48.93 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort medium Model configuration o3 mini (Medium) sourceModelVersion o3-mini-2025-01-31 (medium) thinkingEnabled true ### Reported statistics Uncertainty Confidence interval: 47.68–50.18 contaminationWarning Not reported rank 57 reportedConfidenceHalfWidth 1.25 ### Source [Original source](https://labs.scale.com/leaderboard/mask) Source scale Original model label o3 mini (Medium) Observed 2026-10-22T03:30:12.706Z Evidence SHA-256 `fe1699303dff9a092aff10128cfc39d63ddc0680c0d241345fa747c450597b67` Source locator `/rows/56` |  |  |  |  |  |  |
| [Agentic Tool Use (Chat)](https://benchize.com/benchmarks/scale%3Atool_use_chat.md) | 62.42source score | CI 55.66–69.18 | 2 / 11 | — | [scale](https://labs.scale.com/leaderboard/tool_use_chat) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 62.42 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort medium Model configuration o3-mini (medium) sourceModelVersion Not reported thinkingEnabled true ### Reported statistics Uncertainty Confidence interval: 55.66–69.18 contaminationWarning Not reported rank 3 reportedConfidenceHalfWidth 6.76 ### Source [Original source](https://labs.scale.com/leaderboard/tool_use_chat) Source scale Original model label o3-mini (medium) Observed 2026-10-22T03:30:14.061Z Evidence SHA-256 `34269d5523ef290e5d0b50dfadc96d8208fd56ef4f906b53867da69826b98dfa` Source locator `/rows/2` |  |  |  |  |  |  |
| [ARC-AGI-1](https://benchize.com/benchmarks/arc-prize%3Av1_Semi_Private.md) | 22.33% | — | 209 / 245 | 0.19usd per task | [arc prize · v1](https://arcprize.org/media/data/leaderboard/v1.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.2233 \| score_fraction \| v1_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.1907 \| usd_per_task \| v1_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v1_Semi_Private harness Not reported modelGroup o3-mini modelType CoT Reasoning effort medium sourceModelVersion o3-mini-2025-01-31-medium thinkingEnabled true ### Source [Original source](https://arcprize.org/media/data/leaderboard/v1.json) Source arc prize Original model label o3-mini (Medium) Source version v1 Observed 2026-10-22T05:20:04.066Z Evidence SHA-256 `2bf68d22dafba37047d07ad833ebc0e8199c9aa2f9eeaed50c75c1b704462836` Source locator `/evaluations/20` |  |  |  |  |  |  |
| [HMMT Feb 2025](https://benchize.com/benchmarks/matharena%3Ahmmt--hmmt_feb_2025.md) | 53.33% | 95% CI 44.4–62.26% | 25 / 35 | 0.03usd 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` \| 53.33 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.034 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition hmmt--hmmt_feb_2025 predicted false Reasoning effort medium sourceModelName o3-mini (medium) sourceModelVersion openai/o3-mini--medium thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 44.4–62.26% confidenceInterval95 8.93 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) Source matharena Original model label o3-mini (medium) Source version hmmt--hmmt_feb_2025 Observed 2026-10-22T05:30:12.126Z Evidence SHA-256 `8554225c26eb7a3c2649943ee7cf6b404ec1f7441b20fbdcfccbf35b9a864864` Source locator `/table/rows/39` |  |  |  |  |  |  |

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