# AIME 2026 > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/aime-2026. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/aime-2026. AIME 2026: Solving final-answer mathematics competition problems. This competition contains 30 problems. MathArena reports normalized performance across repeated attempts and a 95% confidence interval. Canonical URL: https://benchize.com/benchmarks/aime-2026 Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Conquered AIME 2026: Solving final-answer mathematics competition problems. This competition contains 30 problems. MathArena reports normalized performance across repeated attempts and a 95% confidence interval. Mathematics · Models tested: 21 · Score publishers: [matharena](https://matharena.ai/?comp=aime--aime_2026) ## Model results | # | Model | Score | ± | Cost | | | --- | --- | --- | --- | --- | --- | | 1 | [GPT-5.5](https://benchize.com/models/gpt-5-5-xhigh.md)Extra high | 100% | 95% CI 100–100% | 0.16usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 100.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.16 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false Reasoning effort xhigh sourceModelName GPT-5.5 (xhigh) sourceModelVersion openai/gpt-55 thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 100–100% confidenceInterval95 0.00 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label GPT-5.5 (xhigh) Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/0` | | | | | | | 1 | [Claude Opus 4.8](https://benchize.com/models/claude-opus-4-8-max.md)Max | 100% | 95% CI 100–100% | 0.54usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 100.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.54 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false Reasoning effort max sourceModelName Claude-Opus-4.8 (max) sourceModelVersion anthropic/opus_48_max thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 100–100% confidenceInterval95 0.00 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Claude-Opus-4.8 (max) Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/1` | | | | | | | 3 | [GPT-5.4](https://benchize.com/models/gpt-5-4-xhigh.md)Extra high | 99.17% | 95% CI 97.54–100.8% | 0.16usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 99.17 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.16 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false Reasoning effort xhigh sourceModelName GPT-5.4 (xhigh) sourceModelVersion openai/gpt-54 thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 97.54–100.8% confidenceInterval95 1.63 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label GPT-5.4 (xhigh) Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/2` | | | | | | | 4 | [GPT-5.2](https://benchize.com/models/gpt-5-2-high.md)High | 98.33% | 95% CI 96.04–100.62% | 0.12usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 98.33 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.12 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false Reasoning effort high sourceModelName GPT-5.2 (high) sourceModelVersion openai/gpt-52-high thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 96.04–100.62% confidenceInterval95 2.29 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label GPT-5.2 (high) Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/3` | | | | | | | 4 | [Gemini 3.1 Pro Preview](https://benchize.com/models/gemini-3-1-pro-preview.md) | 98.33% | 95% CI 96.04–100.62% | 0.17usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 98.33 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.17 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Gemini 3.1 Pro Preview sourceModelVersion gemini/gemini-31-pro ### Reported statistics Uncertainty 95% confidence interval: 96.04–100.62% confidenceInterval95 2.29 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Gemini 3.1 Pro Preview Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/4` | | | | | | | 6 | [Gemini 3 Flash](https://benchize.com/models/gemini-3-flash.md) | 96.67% | 95% CI 93.46–99.88% | 0.06usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 96.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.062 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Gemini 3 Flash sourceModelVersion gemini/gemini-3-flash ### Reported statistics Uncertainty 95% confidence interval: 93.46–99.88% confidenceInterval95 3.21 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Gemini 3 Flash Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/6` | | | | | | | 6 | [Claude Opus 4.6](https://benchize.com/models/claude-opus-4-6-high.md)High | 96.67% | 95% CI 93.46–99.88% | 0.33usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 96.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.33 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false Reasoning effort high sourceModelName Claude-Opus-4.6 (High) sourceModelVersion anthropic/opus_46 thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 93.46–99.88% confidenceInterval95 3.21 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Claude-Opus-4.6 (High) Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/11` | | | | | | | 6 | [Gemini 3.6 Flash](https://benchize.com/models/gemini-3-6-flash.md) | 96.67% | 95% CI 92.13–101.21% | 0.08usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 96.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.082 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Gemini 3.6 Flash sourceModelVersion gemini/gemini-36-flash ### Reported statistics Uncertainty 95% confidence interval: 92.13–101.21% confidenceInterval95 4.54 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Gemini 3.6 Flash Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/9` | | | | | | | 6 | [Step 3.5 Flash](https://benchize.com/models/step-3-5-flash.md) | 96.67% | 95% CI 93.46–99.88% | 0.01usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 96.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.013 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Step 3.5 Flash sourceModelVersion stepfun/3.5-flash ### Reported statistics Uncertainty 95% confidence interval: 93.46–99.88% confidenceInterval95 3.21 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Step 3.5 Flash Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/5` | | | | | | | 6 | [DeepSeek V4 Pro](https://benchize.com/models/deepseek-v4-pro-max.md)Max | 96.67% | 95% CI 93.46–99.88% | 0.08usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 96.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.082 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false Reasoning effort max sourceModelName DeepSeek-v4-Pro (Max) sourceModelVersion deepseek/deepseek_v4_pro thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 93.46–99.88% confidenceInterval95 3.21 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label DeepSeek-v4-Pro (Max) Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/8` | | | | | | | 6 | [GLM-5](https://benchize.com/models/glm-5.md) | 96.67% | 95% CI 93.46–99.88% | 0.08usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 96.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.075 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName GLM 5 sourceModelVersion glm/glm-5 ### Reported statistics Uncertainty 95% confidence interval: 93.46–99.88% confidenceInterval95 3.21 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label GLM 5 Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/7` | | | | | | | 12 | [Claude Opus 4.7](https://benchize.com/models/claude-opus-4-7-xhigh.md)Extra high | 95.83% | 95% CI 92.25–99.41% | 0.27usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 95.83 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.27 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false Reasoning effort xhigh sourceModelName Claude-Opus-4.7 (xhigh) sourceModelVersion anthropic/opus_47 thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 92.25–99.41% confidenceInterval95 3.58 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Claude-Opus-4.7 (xhigh) Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/16` | | | | | | | 12 | [GLM-5.1](https://benchize.com/models/glm-5-1.md) | 95.83% | 95% CI 92.25–99.41% | 0.09usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 95.83 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.085 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName GLM 5.1 sourceModelVersion glm/glm-51 ### Reported statistics Uncertainty 95% confidence interval: 92.25–99.41% confidenceInterval95 3.58 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label GLM 5.1 Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/14` | | | | | | | 12 | [DeepSeek V4 Flash](https://benchize.com/models/deepseek-v4-flash-max.md)Max | 95.83% | 95% CI 92.25–99.41% | 0.009usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 95.83 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.009 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false Reasoning effort max sourceModelName DeepSeek-v4-Flash (Max) sourceModelVersion deepseek/deepseek_v4_flash thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 92.25–99.41% confidenceInterval95 3.58 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label DeepSeek-v4-Flash (Max) Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/12` | | | | | | | 15 | [Gemini 3.5 Flash](https://benchize.com/models/gemini-3-5-flash.md) | 95% | 95% CI 89.49–100.51% | 0.13usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 95.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.13 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 89.49–100.51% confidenceInterval95 5.51 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Gemini 3.5 Flash Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/18` | | | | | | | 15 | [Step 3.7 Flash](https://benchize.com/models/step-3-7-flash.md) | 95% | 95% CI 91.1–98.9% | 0.02usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 95.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.015 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Step 3.7 Flash sourceModelVersion stepfun/3.7-flash ### Reported statistics Uncertainty 95% confidence interval: 91.1–98.9% confidenceInterval95 3.90 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Step 3.7 Flash Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/17` | | | | | | | 17 | [Qwen3.5 397B A17B](https://benchize.com/models/qwen3-5-397b-a17b.md) | 94.17% | 95% CI 89.98–98.36% | 0.08usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 94.17 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.075 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Qwen3.5-397b-a17b sourceModelVersion qwen/qwen3.5_397b ### Reported statistics Uncertainty 95% confidence interval: 89.98–98.36% confidenceInterval95 4.19 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Qwen3.5-397b-a17b Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/21` | | | | | | | 18 | [Qwen3.5-35B-A3B](https://benchize.com/models/qwen3-5-35b-a3b.md) | 93.33% | 95% CI 88.87–97.79% | 0.04usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 93.33 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.041 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Qwen3.5-35B-A3B sourceModelVersion qwen/qwen3.5_35b_a3b ### Reported statistics Uncertainty 95% confidence interval: 88.87–97.79% confidenceInterval95 4.46 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Qwen3.5-35B-A3B Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/22` | | | | | | | 19 | [Qwen3.5-9B](https://benchize.com/models/qwen3-5-9b.md) | 92.5% | 95% CI 87.79–97.21% | 0.005usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 92.50 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.005 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Qwen3.5-9B sourceModelVersion qwen/qwen3.5_9b ### Reported statistics Uncertainty 95% confidence interval: 87.79–97.21% confidenceInterval95 4.71 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Qwen3.5-9B Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/23` | | | | | | | 20 | [Qwen3.5-27B](https://benchize.com/models/qwen3-5-27b.md) | 91.67% | 95% CI 86.72–96.62% | 0.05usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 91.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.047 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Qwen3.5-27B sourceModelVersion qwen/qwen3.5_27b ### Reported statistics Uncertainty 95% confidence interval: 86.72–96.62% confidenceInterval95 4.95 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Qwen3.5-27B Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/25` | | | | | | | 21 | [GLM-5.2](https://benchize.com/models/glm-5-2.md) | 90% | 95% CI 82.41–97.59% | 0.08usd per problem | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.076 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName GLM 5.2 sourceModelVersion glm/glm-52 ### Reported statistics Uncertainty 95% confidence interval: 82.41–97.59% confidenceInterval95 7.59 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label GLM 5.2 Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/27` | | | | | | --- Cite as: AIME 2026 — Benchize, https://benchize.com/benchmarks/aime-2026 (retrieved 2026-10-21)