# gpt-oss-120bHigh > Source: Benchize (https://benchize.com) — https://benchize.com/models/gpt-oss-120b-high. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/gpt-oss-120b-high. OpenAI Canonical URL: https://benchize.com/models/gpt-oss-120b-high Last updated: Thu, 22 Oct 2026 07:32:33 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. OpenAI ## Benchmarks | Benchmark | Score | ± | Rank | Cost | Source | | | --- | --- | --- | --- | --- | --- | --- | | [HMMT Nov 2025](https://benchize.com/benchmarks/matharena%3Ahmmt--hmmt_nov_2025.md) | 90% | 95% CI 84.63–95.37% | 8 / 13 | 0.01usd per problem | [matharena · hmmt--hmmt_nov_2025](https://matharena.ai/competition_tables/hmmt--hmmt_nov_2025) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.011 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition hmmt--hmmt_nov_2025 predicted false Reasoning effort high sourceModelName GPT OSS 120B (high) sourceModelVersion openai/oss-120b thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 84.63–95.37% confidenceInterval95 5.37 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/hmmt--hmmt_nov_2025) Source matharena Original model label GPT OSS 120B (high) Source version hmmt--hmmt_nov_2025 Observed 2026-10-22T05:30:13.113Z Evidence SHA-256 `aa9287d733e27dde3646179a18070c07f558fb51926a8fe90cdf38985d6fce6d` Source locator `/table/rows/12` | | | | | | | | [ToneBench Scriptwriting](https://benchize.com/benchmarks/tonebench%3Ascripts.md) | 609.4 | Range 570–647.7 | 116 / 126 | — | [tonebench](https://benchmark.towardsai.com/data/leaderboard.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 609.4 \| rating \| reported \| Higher is better \| \| `overall` \| 61.29 \| percent \| reported \| Higher is better \| \| `anti_slop_numbers` \| 55.2 \| source_score \| rubric \| Higher is better \| \| `continuity_emotion` \| 62.11 \| source_score \| rubric \| Higher is better \| \| `cue_quality` \| 59.41 \| source_score \| rubric \| Higher is better \| \| `hook_strength` \| 68.36 \| source_score \| rubric \| Higher is better \| \| `length_adherence` \| 76.89 \| source_score \| rubric \| Higher is better \| \| `slop` \| 65.6 \| source_score \| rubric \| Higher is better \| \| `slop_score` \| 75.99 \| source_score \| rubric \| Higher is better \| \| `substance_accuracy` \| 56.08 \| source_score \| rubric \| Higher is better \| \| `tone_voice` \| 51.96 \| source_score \| rubric \| Higher is better \| \| `writing_quality` \| 61.28 \| source_score \| rubric \| Higher is better \| \| `youtube_best_practices` \| 64.18 \| source_score \| rubric \| Higher is better \| ### Configuration provider openrouter Reasoning effort high scoreScope 10_task_current sourceConfiguration gpt-oss-120b-high-or thinkingEnabled true ### Reported statistics Uncertainty Reported interval: 570–647.7 interval [570,647.7] rank 122 runCount 5 ### Source [Original source](https://benchmark.towardsai.com/data/leaderboard.json) Source tonebench Original model label gpt-oss 120B (high) Evaluated 2026-10-08 Observed 2026-10-22T04:40:14.102Z Evidence SHA-256 `4264338337f418d3ded7ace250cad64fe12cacbd4b79a312bfaf0ae9268a01c3` Source locator `/rows/121` | | | | | | | | [AIME 2025](https://benchize.com/benchmarks/aime-2025.md) | 90% | 95% CI 84.63–95.37% | 11 / 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` \| 90.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.013 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2025 predicted false Reasoning effort high sourceModelName GPT OSS 120B (high) sourceModelVersion openai/oss-120b thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 84.63–95.37% confidenceInterval95 5.37 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2025) Source matharena Original model label GPT OSS 120B (high) Source version aime--aime_2025 Observed 2026-10-22T05:30:11.892Z Evidence SHA-256 `fab0abcecc4032852ef2cbd2a84d34ffc42202be358b2994bfaba44ae7a0cd9a` Source locator `/table/rows/19` | | | | | | | | [SMT 2025](https://benchize.com/benchmarks/matharena%3Asmt--smt_2025.md) | 87.74% | 95% CI 83.32–92.16% | 11 / 26 | 0.01usd per problem | [matharena · smt--smt_2025](https://matharena.ai/competition_tables/smt--smt_2025) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 87.74 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.011 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition smt--smt_2025 predicted false Reasoning effort high sourceModelName GPT OSS 120B (high) sourceModelVersion openai/oss-120b thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 83.32–92.16% confidenceInterval95 4.42 problems 53 ### Source [Original source](https://matharena.ai/competition_tables/smt--smt_2025) Source matharena Original model label GPT OSS 120B (high) Source version smt--smt_2025 Observed 2026-10-22T05:30:12.647Z Evidence SHA-256 `1b4f6f8bafc1688e4557a024513f68befa31aff48fd0623fb4892a61263433b0` Source locator `/table/rows/15` | | | | | | | | [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 88.89% | SE ±4.46 pp | 44 / 124 | — | [epoch ai · OTIS Mock AIME 2024-2025](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.8888888888888888 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.8888888888888888 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort high sourceModelVersion openai/gpt-oss-120b_high ### Reported statistics Uncertainty Standard error: ±4.46 pp standardError 0.04463343655613273 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label openai/gpt-oss-120b Source version OTIS Mock AIME 2024-2025 Evaluated 2025-12-11T22:37:41.702Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/193` | | | | | | | | [Apex Shortlist](https://benchize.com/benchmarks/matharena%3Aapex--shortlist_2025.md) | 45.21% | 95% CI 38.1–52.32% | 22 / 25 | 0.03usd per problem | [matharena · apex--shortlist_2025](https://matharena.ai/competition_tables/apex--shortlist_2025) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 45.21 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.026 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition apex--shortlist_2025 predicted false Reasoning effort high sourceModelName GPT OSS 120B (high) sourceModelVersion openai/oss-120b thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 38.1–52.32% confidenceInterval95 7.11 problems 47 ### Source [Original source](https://matharena.ai/competition_tables/apex--shortlist_2025) Source matharena Original model label GPT OSS 120B (high) Source version apex--shortlist_2025 Observed 2026-10-22T05:30:14.141Z Evidence SHA-256 `74513abecacb4d230d741f4d6df425ce878fb450220e88a1a6823524476c2989` Source locator `/table/rows/31` | | | | | | | | [CMIMC 2025](https://benchize.com/benchmarks/matharena%3Acmimc--cmimc_2025.md) | 85% | 95% CI 79.47–90.53% | 9 / 22 | 0.02usd per problem | [matharena · cmimc--cmimc_2025](https://matharena.ai/competition_tables/cmimc--cmimc_2025) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 85.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.016 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition cmimc--cmimc_2025 predicted false Reasoning effort high sourceModelName GPT OSS 120B (high) sourceModelVersion openai/oss-120b thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 79.47–90.53% confidenceInterval95 5.53 problems 40 ### Source [Original source](https://matharena.ai/competition_tables/cmimc--cmimc_2025) Source matharena Original model label GPT OSS 120B (high) Source version cmimc--cmimc_2025 Observed 2026-10-22T05:30:12.870Z Evidence SHA-256 `d5d48c1f54a744d7ff2244bae3258963afdb1ab36fb20464ea9cf47138a1555e` Source locator `/table/rows/12` | | | | | | | | [APEX-Agents](https://benchize.com/benchmarks/mercor%3Aapex-agents%3A1.1.md) | 4.4% | — | 38 / 38 | — | [mercor · 1.1](https://www.mercor.com/apex/apex-agents-leaderboard/) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `pass_1` \| 4.4 \| percent \| task_completion_pass_at_1 \| Higher is better \| \| `mean_score` \| 8.3 \| percent \| rubric_mean \| Higher is better \| ### Configuration datasetUrl https://huggingface.co/datasets/mercor/apex-agents-v1.1 datasetVersion 1.1 harness loop_truncated_tools_agent Reasoning effort high ### Reported statistics reportedErrors {"mean_score":2.7,"pass_1":2} sampleSize 954 ### Source [Original source](https://www.mercor.com/apex/apex-agents-leaderboard/) Source mercor Original model label GPT-OSS-120B Source version 1.1 Observed 2026-10-22T03:20:05.238Z Evidence SHA-256 `9a5cc96c60cc0788561a54a64689121504d26058f7690c1106f2490706183370` Source locator `/__NEXT_DATA__/props/pageProps/leaderboardData/24` | | | | | | | | [BRUMO 2025](https://benchize.com/benchmarks/matharena%3Abrumo--brumo_2025.md) | 92.5% | 95% CI 87.79–97.21% | 9 / 26 | 0.01usd per problem | [matharena · brumo--brumo_2025](https://matharena.ai/competition_tables/brumo--brumo_2025) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 92.50 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.011 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition brumo--brumo_2025 predicted false Reasoning effort high sourceModelName GPT OSS 120B (high) sourceModelVersion openai/oss-120b thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 87.79–97.21% confidenceInterval95 4.71 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/brumo--brumo_2025) Source matharena Original model label GPT OSS 120B (high) Source version brumo--brumo_2025 Observed 2026-10-22T05:30:12.351Z Evidence SHA-256 `d1d1c126b1feff70b2bcc20a7adbf380d94c2aaab0704704cb01593d4e1958ff` Source locator `/table/rows/16` | | | | | | | | [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 75.76% | SE ±2.74 pp | 79 / 126 | — | [epoch ai · GPQA diamond](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.7575757575757576 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.7575757575757576 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort high sourceModelVersion openai/gpt-oss-120b_high ### Reported statistics Uncertainty Standard error: ±2.74 pp standardError 0.027437163443883767 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label openai/gpt-oss-120b Source version GPQA diamond Evaluated 2025-12-11T22:37:44.523Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/187` | | | | | | | | [BullshitBench v2](https://benchize.com/benchmarks/bullshitbench%3Av2.md) | 5% | — | 182 / 191 | — | [bullshitbench · v2](https://api.github.com/repos/petergpt/bullshit-benchmark/contents/data/v2/latest/leaderboard.csv?ref=3c655234d15967738f95da696e3f938d4862dcf7) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `green_rate` \| 0.05 \| score_fraction \| all_attempts \| Higher is better \| \| `red_rate` \| 0.72 \| score_fraction \| all_attempts \| Lower is better \| \| `refusal_rate` \| 0.0 \| score_fraction \| all_attempts \| Lower is better \| \| `avg_score` \| 0.2967 \| score \| judge_grade_0_to_2 \| Higher is better \| ### Configuration Reasoning effort high suite v2 thinkingEnabled true ### Reported statistics acceptedCount 72 answeredCount 100 clearCount 5 errorCount 0 partialCount 23 rank 221 refusalCount 0 sampleSize 100 ### Source [Original source](https://api.github.com/repos/petergpt/bullshit-benchmark/contents/data/v2/latest/leaderboard.csv?ref=3c655234d15967738f95da696e3f938d4862dcf7) Source bullshitbench Original model label openai/gpt-oss-120b Source version v2 Observed 2026-10-22T03:10:12.603Z Evidence SHA-256 `98b485e08764d1c97144bc4f7b28ced1a96d50850947c775870dfda0e5d749b5` Source locator `/rows/220` | | | | | | | | [Mystery Game Puzzles](https://benchize.com/benchmarks/epoch-ai%3Amystery_game_puzzles.md) | 0% | SE ±0 pp | 72 / 72 | — | [epoch ai · Mystery Game Puzzles](https://epoch.ai/data/benchmark_data.zip#file=mystery_game_puzzles.csv) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.0 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.0 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion Mystery Game Puzzles reasoningBudget Not reported Reasoning effort high sourceModelVersion gpt-oss-120b_high ### Reported statistics Uncertainty Standard error: ±0 pp standardError 0 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=mystery_game_puzzles.csv) Source epoch ai Original model label gpt-oss-120b Source version Mystery Game Puzzles Evaluated 2026-08-27T18:02:21.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `f66941ed5e9520190b66af57d2b6fd62a9582077dd25ab8764ce651bc0eca00a` Source locator `/rows/71` | | | | | | | | [Apex](https://benchize.com/benchmarks/matharena%3Aapex--apex_2025.md) | 1.04% | 95% CI -0.4–2.48% | 22 / 31 | 0.03usd per problem | [matharena · apex--apex_2025](https://matharena.ai/competition_tables/apex--apex_2025) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 1.04 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.027 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition apex--apex_2025 predicted false Reasoning effort high sourceModelName GPT OSS 120B (high) sourceModelVersion openai/oss-120b thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: -0.4–2.48% confidenceInterval95 1.44 problems 12 ### Source [Original source](https://matharena.ai/competition_tables/apex--apex_2025) Source matharena Original model label GPT OSS 120B (high) Source version apex--apex_2025 Observed 2026-10-22T05:30:13.849Z Evidence SHA-256 `20b28370d9d7f5a15a19fc9e4226c9857cdb07bc42b32ccec508e687b7b9f3fc` Source locator `/table/rows/35` | | | | | | | | [AutomationBench](https://benchize.com/benchmarks/zapier%3Aautomationbench.md) | 0.15% | — | 110 / 113 | $0.01 | [zapier](https://framerusercontent.com/sites/4WTSl4BNjd1q9QFEFibC6h/lOvLnhItj8S8-1vyjH_s33Jn-WmUXPmiJ5Diajl0Q38.CMutaHYl.mjs) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.15 \| percent \| reported \| Higher is better \| \| `cost` \| 0.01 \| USD \| per_task \| Lower is better \| ### Configuration benchmarkVersion 1.0.6 costFootnote false Fallback policy Not reported Reasoning effort high Model configuration GPT-OSS 120B (High) thinkingEnabled true ### Reported statistics rank 123 ### Source [Original source](https://framerusercontent.com/sites/4WTSl4BNjd1q9QFEFibC6h/lOvLnhItj8S8-1vyjH_s33Jn-WmUXPmiJ5Diajl0Q38.CMutaHYl.mjs) Source zapier Original model label GPT-OSS 120B (High) Observed 2026-10-21T16:34:56.783Z Evidence SHA-256 `43978e38f018789fa59c11de5328abe9e5905bfa9a5a4d601fa3aa4d9c153b0d` Source locator `/rows/122` | | | | | | | | [HMMT Feb 2025](https://benchize.com/benchmarks/matharena%3Ahmmt--hmmt_feb_2025.md) | 90% | 95% CI 84.63–95.37% | 9 / 35 | 0.02usd 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` \| 90.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.016 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition hmmt--hmmt_feb_2025 predicted false Reasoning effort high sourceModelName GPT OSS 120B (high) sourceModelVersion openai/oss-120b thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 84.63–95.37% confidenceInterval95 5.37 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) Source matharena Original model label GPT OSS 120B (high) Source version hmmt--hmmt_feb_2025 Observed 2026-10-22T05:30:12.126Z Evidence SHA-256 `8554225c26eb7a3c2649943ee7cf6b404ec1f7441b20fbdcfccbf35b9a864864` Source locator `/table/rows/16` | | | | | | | --- Cite as: gpt-oss-120bHigh — Benchize, https://benchize.com/models/gpt-oss-120b-high (retrieved 2026-10-22)