# O4 MiniMedium

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OpenAI

Canonical URL: https://benchize.com/models/o4-mini-medium
Last updated: Thu, 22 Oct 2026 07:32:33 GMT

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OpenAI

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Source |  |
| --- | --- | --- | --- | --- | --- | --- |
| [AIME 2025](https://benchize.com/benchmarks/aime-2025.md) | 84.17% | 95% CI 77.64–90.7% | 19 / 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` \| 84.17 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.028 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2025 predicted false Reasoning effort medium sourceModelName o4-mini (medium) sourceModelVersion openai/o4-mini--medium thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 77.64–90.7% confidenceInterval95 6.53 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2025) Source matharena Original model label o4-mini (medium) Source version aime--aime_2025 Observed 2026-10-22T05:30:11.892Z Evidence SHA-256 `fab0abcecc4032852ef2cbd2a84d34ffc42202be358b2994bfaba44ae7a0cd9a` Source locator `/table/rows/29` |  |  |  |  |  |  |
| [ARC-AGI-2](https://benchize.com/benchmarks/arc-prize%3Av2_Semi_Private.md) | 2.36% | — | 189 / 243 | 0.23usd per task | [arc prize · v2](https://arcprize.org/media/data/leaderboard/v2.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.0236 \| score_fraction \| v2_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.2311 \| usd_per_task \| v2_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v2_Semi_Private harness Not reported modelGroup o4-mini modelType CoT Reasoning effort medium sourceModelVersion o4-mini-2025-04-16-medium thinkingEnabled true ### Source [Original source](https://arcprize.org/media/data/leaderboard/v2.json) Source arc prize Original model label o4-mini (Medium) Source version v2 Observed 2026-10-22T05:20:04.306Z Evidence SHA-256 `4351eb696e78113b0459e9bb5f0258318b905efef34f473dcea51ce641b0d94d` Source locator `/evaluations/28` |  |  |  |  |  |  |
| [BRUMO 2025](https://benchize.com/benchmarks/matharena%3Abrumo--brumo_2025.md) | 84.17% | 95% CI 77.64–90.7% | 19 / 26 | 0.02usd per problem | [matharena · brumo--brumo_2025](https://matharena.ai/competition_tables/brumo--brumo_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 84.17 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.021 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition brumo--brumo_2025 predicted false Reasoning effort medium sourceModelName o4-mini (medium) sourceModelVersion openai/o4-mini--medium thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 77.64–90.7% confidenceInterval95 6.53 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/brumo--brumo_2025) Source matharena Original model label o4-mini (medium) Source version brumo--brumo_2025 Observed 2026-10-22T05:30:12.351Z Evidence SHA-256 `d1d1c126b1feff70b2bcc20a7adbf380d94c2aaab0704704cb01593d4e1958ff` Source locator `/table/rows/32` |  |  |  |  |  |  |
| [ARC-AGI-1](https://benchize.com/benchmarks/arc-prize%3Av1_Semi_Private.md) | 41.83% | — | 176 / 245 | 0.15usd per task | [arc prize · v1](https://arcprize.org/media/data/leaderboard/v1.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.4183 \| score_fraction \| v1_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.15 \| usd_per_task \| v1_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v1_Semi_Private harness Not reported modelGroup o4-mini modelType CoT Reasoning effort medium sourceModelVersion o4-mini-2025-04-16-medium thinkingEnabled true ### Source [Original source](https://arcprize.org/media/data/leaderboard/v1.json) Source arc prize Original model label o4-mini (Medium) Source version v1 Observed 2026-10-22T05:20:04.066Z Evidence SHA-256 `2bf68d22dafba37047d07ad833ebc0e8199c9aa2f9eeaed50c75c1b704462836` Source locator `/evaluations/26` |  |  |  |  |  |  |
| [CMIMC 2025](https://benchize.com/benchmarks/matharena%3Acmimc--cmimc_2025.md) | 62.5% | 95% CI 55–70% | 18 / 22 | 0.03usd per problem | [matharena · cmimc--cmimc_2025](https://matharena.ai/competition_tables/cmimc--cmimc_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.50 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.031 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition cmimc--cmimc_2025 predicted false Reasoning effort medium sourceModelName o4-mini (medium) sourceModelVersion openai/o4-mini--medium thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 55–70% confidenceInterval95 7.50 problems 40 ### Source [Original source](https://matharena.ai/competition_tables/cmimc--cmimc_2025) Source matharena Original model label o4-mini (medium) Source version cmimc--cmimc_2025 Observed 2026-10-22T05:30:12.870Z Evidence SHA-256 `d5d48c1f54a744d7ff2244bae3258963afdb1ab36fb20464ea9cf47138a1555e` Source locator `/table/rows/30` |  |  |  |  |  |  |
| [HMMT Feb 2025](https://benchize.com/benchmarks/matharena%3Ahmmt--hmmt_feb_2025.md) | 67.5% | 95% CI 59.12–75.88% | 20 / 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` \| 67.50 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.032 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition hmmt--hmmt_feb_2025 predicted false Reasoning effort medium sourceModelName o4-mini (medium) sourceModelVersion openai/o4-mini--medium thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 59.12–75.88% confidenceInterval95 8.38 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) Source matharena Original model label o4-mini (medium) Source version hmmt--hmmt_feb_2025 Observed 2026-10-22T05:30:12.126Z Evidence SHA-256 `8554225c26eb7a3c2649943ee7cf6b404ec1f7441b20fbdcfccbf35b9a864864` Source locator `/table/rows/32` |  |  |  |  |  |  |
| [SMT 2025](https://benchize.com/benchmarks/matharena%3Asmt--smt_2025.md) | 79.72% | 95% CI 74.31–85.13% | 18 / 26 | 0.02usd per problem | [matharena · smt--smt_2025](https://matharena.ai/competition_tables/smt--smt_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 79.72 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.020 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition smt--smt_2025 predicted false Reasoning effort medium sourceModelName o4-mini (medium) sourceModelVersion openai/o4-mini--medium thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 74.31–85.13% confidenceInterval95 5.41 problems 53 ### Source [Original source](https://matharena.ai/competition_tables/smt--smt_2025) Source matharena Original model label o4-mini (medium) Source version smt--smt_2025 Observed 2026-10-22T05:30:12.647Z Evidence SHA-256 `1b4f6f8bafc1688e4557a024513f68befa31aff48fd0623fb4892a61263433b0` Source locator `/table/rows/31` |  |  |  |  |  |  |

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Cite as: O4 MiniMedium — Benchize, https://benchize.com/models/o4-mini-medium (retrieved 2026-10-22)