# DeepSeek V4 ProHigh > Source: Benchize (https://benchize.com) — https://benchize.com/models/deepseek-v4-pro-high. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/deepseek-v4-pro-high. DeepSeek Canonical URL: https://benchize.com/models/deepseek-v4-pro-high Last updated: Thu, 22 Oct 2026 07:10:12 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. DeepSeek ## Benchmarks | Benchmark | Score | ± | Rank | Cost | Source | | | --- | --- | --- | --- | --- | --- | --- | | [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 95.56% | SE ±3.11 pp | 29 / 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` \| 0.9555555555555556 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.9555555555555556 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort high sourceModelVersion deepseek-v4-pro_high ### Reported statistics Uncertainty Standard error: ±3.11 pp standardError 0.031067790907534743 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label deepseek-v4-pro Source version OTIS Mock AIME 2024-2025 Evaluated 2026-08-06T23:58:58.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/119` | | | | | | | | [Chess Puzzles](https://benchize.com/benchmarks/epoch-ai%3Achess_puzzles.md) | 15% | SE ±3.59 pp | 54 / 64 | — | [epoch ai · Chess Puzzles](https://epoch.ai/data/benchmark_data.zip#file=chess_puzzles.csv) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.15 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.15 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion Chess Puzzles reasoningBudget Not reported Reasoning effort high sourceModelVersion deepseek-v4-pro_high ### Reported statistics Uncertainty Standard error: ±3.59 pp standardError 0.03588702812826367 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=chess_puzzles.csv) Source epoch ai Original model label deepseek-v4-pro Source version Chess Puzzles Evaluated 2026-10-13T13:38:10.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `a5b99d6d35252907b04e9a802873a9754ecc0248be92a1ebbd2ef0450e4bb015` Source locator `/rows/99` | | | | | | | | [SWE-rebench](https://benchize.com/benchmarks/swe-rebench%3Aresolved.md) | 40.2% | — | 5 / 8 | $0.15 | [swe rebench](https://swe-rebench.com/) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `resolved` \| 40.2 \| percent \| reported \| Higher is better \| \| `pass_at_5` \| 64 \| percent \| reported \| Higher is better \| \| `cost_per_problem` \| 0.15 \| USD \| per_problem \| Lower is better \| ### Configuration Reasoning effort high Model configuration DeepSeek-V4 Pro [high] submissionType model thinkingEnabled true ### Source [Original source](https://swe-rebench.com/) Source swe rebench Original model label DeepSeek-V4 Pro [high] Observed 2026-10-22T06:00:03.589Z Evidence SHA-256 `fbb1b659562843da266aa20ec2295253d727ccd9b9469c78ab32df6fad1fffed` Source locator `/rows/13` | | | | | | | | [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 90.91% | SE ±2.05 pp | 22 / 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` \| 0.9090909090909091 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.9090909090909091 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort high sourceModelVersion deepseek-v4-pro_high ### Reported statistics Uncertainty Standard error: ±2.05 pp standardError 0.020482086775424225 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label deepseek-v4-pro Source version GPQA diamond Evaluated 2026-08-06T23:58:27.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/108` | | | | | | | | [Short Story Writing — Pairwise Comparison](https://benchize.com/benchmarks/lechmazur-short-story%3Apairwise.md) | 0.52 | 95% CI 0.4–0.63 | 23 / 50 | — | [lechmazur short story · 8ba548d1cffefa5c472d3832e05f64e119a88fa4](https://api.github.com/repos/lechmazur/writing/contents/data/writing_gemini_argon_20261013/ratings.csv?ref=8ba548d1cffefa5c472d3832e05f64e119a88fa4) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `thurstone_rating` \| 0.5167277285142252 \| index \| pooled_observed_panel \| Higher is better \| \| `win_probability` \| 0.5774666113422205 \| score_fraction \| comparison_pool \| Higher is better \| ### Configuration benchmarkScope data/writing_gemini_argon_20261013 Reasoning effort high thinkingEnabled true ### Reported statistics Uncertainty 95% confidence interval: 0.4–0.63 bootstrapSamples 300 confidenceInterval95 ["0.39850336831052324","0.630659697863716"] sourceRank 23 ### Source [Original source](https://api.github.com/repos/lechmazur/writing/contents/data/writing_gemini_argon_20261013/ratings.csv?ref=8ba548d1cffefa5c472d3832e05f64e119a88fa4) Source lechmazur short story Original model label DeepSeek V4 Pro (high) Source version 8ba548d1cffefa5c472d3832e05f64e119a88fa4 Observed 2026-10-22T07:10:06.634Z Evidence SHA-256 `c36baebed9f302ff7ad8fe97907d72e1757a015a39b6a3b23437597cf8e3bff6` Source locator `/rows/22` | | | | | | | | [ToneBench Scriptwriting](https://benchize.com/benchmarks/tonebench%3Ascripts.md) | 1,363.2 | Range 1,317.9–1,412.3 | 86 / 126 | — | [tonebench](https://benchmark.towardsai.com/data/leaderboard.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1363.2 \| rating \| reported \| Higher is better \| \| `overall` \| 73.62 \| percent \| reported \| Higher is better \| \| `anti_slop_numbers` \| 66.28 \| source_score \| rubric \| Higher is better \| \| `continuity_emotion` \| 75.85 \| source_score \| rubric \| Higher is better \| \| `cue_quality` \| 61.93 \| source_score \| rubric \| Higher is better \| \| `hook_strength` \| 77.91 \| source_score \| rubric \| Higher is better \| \| `length_adherence` \| 75.8 \| source_score \| rubric \| Higher is better \| \| `slop` \| 72.91 \| source_score \| rubric \| Higher is better \| \| `slop_score` \| 79.54 \| source_score \| rubric \| Higher is better \| \| `substance_accuracy` \| 75.41 \| source_score \| rubric \| Higher is better \| \| `tone_voice` \| 70.87 \| source_score \| rubric \| Higher is better \| \| `writing_quality` \| 74.43 \| source_score \| rubric \| Higher is better \| \| `youtube_best_practices` \| 71.41 \| source_score \| rubric \| Higher is better \| ### Configuration provider openrouter Reasoning effort unknown scoreScope 10_task_current sourceConfiguration deepseek-v4-pro-or thinkingEnabled true ### Reported statistics Uncertainty Reported interval: 1,317.9–1,412.3 interval [1317.9,1412.3] rank 88 runCount 5 ### Source [Original source](https://benchmark.towardsai.com/data/leaderboard.json) Source tonebench Original model label DeepSeek V4 Pro (high) Evaluated 2026-10-08 Observed 2026-10-22T04:40:14.102Z Evidence SHA-256 `4264338337f418d3ded7ace250cad64fe12cacbd4b79a312bfaf0ae9268a01c3` Source locator `/rows/87` | | | | | | | --- Cite as: DeepSeek V4 ProHigh — Benchize, https://benchize.com/models/deepseek-v4-pro-high (retrieved 2026-10-22)