Rankings / DeepSeek
Deepseek V4 Pro
released 2026-04-24
BenchAtlas Index
as of 2026-09-11
max effort
rank #60
8 families · 4 categories · medium
high effort
rank #78
8 families · 4 categories · medium
high effort
rank #90
4 families · 3 categories · medium
Benchmark evidence
80 results
agentic coding
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | 42.6 % | independent | LiveBench | |
| τ²-Bench | max effort | 96.2 % | independent | Artificial Analysis |
| τ²-Bench | high effort | 94.2 % | independent | Artificial Analysis |
| τ²-Bench | no reasoning | 91.2 % | independent | Artificial Analysis |
| τ²-Bench subset=banking | max effort | 30.1 % | independent | Artificial Analysis |
| τ²-Bench subset=banking | high effort | 26.2 % | independent | Artificial Analysis |
coding
| Release 2026-06-25 tasks_counted=2 · livebench_version=2026-06-25 | 70.0 % | independent | LiveBench | |
| SciCode | max effort | 50.8 % | independent | Artificial Analysis |
| SciCode | high effort | 46.4 % | independent | Artificial Analysis |
| SciCode | no reasoning | 42.4 % | independent | Artificial Analysis |
data analysis
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | 74.5 % | independent | LiveBench |
external indices
| AA Coding Index | max effort | 59.4 points | independent | Artificial Analysis |
| AA Coding Index | high effort | 58.7 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | max effort | 30.9 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | high effort | 30.1 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | no reasoning | 20.8 points | independent | Artificial Analysis |
| ECI | 149.2 points | independent | Epoch AI Benchmarking Hub | |
| ECI | max effort | 149.2 points | independent | Epoch AI Benchmarking Hub |
| ECI | high effort | 149.2 points | independent | Epoch AI Benchmarking Hub |
| ECI | no reasoning | 149.2 points | independent | Epoch AI Benchmarking Hub |
| Vals Index | max effort | 42.9 points | independent | Vals AI |
factuality
| SimpleQA Verified | max effort | 57.0 % | independent | Epoch AI Benchmarking Hub 2026-06-16 |
| SimpleQA Verified | max effort | 47.0 % | independent | Epoch AI Benchmarking Hub 2026-08-27 |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | 1501.8 1495.8–1507.9 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1493.8 1481.9–1505.6 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1492.1 1486.7–1497.5 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1484.3 1478.3–1490.3 | community | LMArena Leaderboard Dataset | |
| French (style control)older version arena=text · category=french · style_control=true | 1484.3 1469.2–1499.4 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1481.6 1472.8–1490.4 | community | LMArena Leaderboard Dataset | |
| Industry Life And Physical And Social Science (style control)older version arena=text · category=industry_life_and_physical_and_social_science · style_control=true | 1480.8 1473.5–1488.2 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1480.3 1475.6–1485.0 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1477.2 1466.7–1487.7 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1475.9 1468.7–1483.1 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1473.5 1463.6–1483.3 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1472.2 1466.7–1477.7 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | 1468.2 1448.2–1488.1 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1467.9 1449.5–1486.3 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1467.2 1462.0–1472.4 | community | LMArena Leaderboard Dataset | |
| Japanese (style control)older version arena=text · category=japanese · style_control=true | 1461.9 1437.6–1486.2 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1461.6 1456.3–1466.8 | community | LMArena Leaderboard Dataset | |
| Industry Business And Management And Financial Operations (style control)older version arena=text · category=industry_business_and_management_and_financial_operations · style_control=true | 1461.1 1454.2–1468.0 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1460.9 1449.4–1472.4 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1457.9 1449.3–1466.5 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1457.8 1453.8–1461.8 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1453.4 1437.7–1469.2 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1453.2 1447.5–1459.0 | community | LMArena Leaderboard Dataset | |
| Industry Writing And Literature And Language (style control)older version arena=text · category=industry_writing_and_literature_and_language · style_control=true | 1451.1 1444.6–1457.6 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1445.2 1440.3–1450.0 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1445.1 1433.6–1456.7 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1444.5 1437.0–1452.0 | community | LMArena Leaderboard Dataset | |
| Industry Entertainment And Sports And Media (style control)older version arena=text · category=industry_entertainment_and_sports_and_media · style_control=true | 1433.9 1427.1–1440.7 | community | LMArena Leaderboard Dataset | |
| Korean (style control)older version arena=text · category=korean · style_control=true | 1417.4 1397.9–1436.9 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond | high effort | 90.9 % | independent | Epoch AI Benchmarking Hub 2026-08-06 |
| GPQA Diamond implementation=artificial-analysis | high effort | 90.5 % | independent | Artificial Analysis |
| GPQA Diamond | max effort | 89.7 % | independent | Epoch AI Benchmarking Hub 2026-06-16 |
| GPQA Diamond implementation=vals-ai | max effort | 89.4 % | independent | Vals AI |
| GPQA Diamond implementation=artificial-analysis | max effort | 88.8 % | independent | Artificial Analysis |
| GPQA Diamond | no reasoning | 73.2 % | independent | Epoch AI Benchmarking Hub 2026-08-06 |
| GPQA Diamond implementation=artificial-analysis | no reasoning | 71.7 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | max effort | 37.5 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | high effort | 35.2 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | no reasoning | 8.2 % | independent | Artificial Analysis |
| MMLU-Pro implementation=vals-ai | max effort | 87.2 % | independent | Vals AI |
language
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | 78.1 % | independent | LiveBench |
long context instruction
| AA-LCR | max effort | 74.7 % | independent | Artificial Analysis |
| AA-LCR | high effort | 70.3 % | independent | Artificial Analysis |
| AA-LCR | no reasoning | 53.0 % | independent | Artificial Analysis |
| IFBench | max effort | 76.5 % | independent | Artificial Analysis |
| IFBench | high effort | 71.3 % | independent | Artificial Analysis |
| IFBench | no reasoning | 45.8 % | independent | Artificial Analysis |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | 62.4 % | independent | LiveBench |
professional
| CaseLaw | max effort | 59.4 % | independent | Vals AI |
| CorpFin | max effort | 61.4 % | independent | Vals AI |
| LegalBench | max effort | 80.3 % | independent | Vals AI |
| TaxEval | max effort | 72.1 % | independent | Vals AI |
reasoning math
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | 90.7 % | independent | LiveBench | |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | 82.7 % | independent | LiveBench | |
| OTIS Mock AIME 2024–2025 | max effort | 96.7 % | independent | Epoch AI Benchmarking Hub 2026-06-17 |
| OTIS Mock AIME 2024–2025 | high effort | 95.6 % | independent | Epoch AI Benchmarking Hub 2026-08-06 |
| OTIS Mock AIME 2024–2025 | no reasoning | 46.7 % | independent | Epoch AI Benchmarking Hub 2026-08-06 |
Agent + model results
systems, not bare-model scores
| agent + model Epoch Inspect harness + Deepseek V4 Pro | SWE-bench Verified | 77.6 % | independent | Epoch AI Benchmarking Hub |
| agent + model Artificial Analysis harness + Deepseek V4 Pro | Terminal-Bench 2.1 | 64.8 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + Deepseek V4 Pro | Terminal-Bench 2.1 | 64.0 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + Deepseek V4 Pro | Terminal-Bench Hard | 46.2 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + Deepseek V4 Pro | Terminal-Bench Hard | 41.7 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + Deepseek V4 Pro | Terminal-Bench Hard | 36.4 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
