Rankings / DeepSeek
Deepseek V3 2
released 2025-12-01
BenchAtlas Index
as of 2026-07-14
thinking
rank #156
10 families · 5 categories · high
no reasoning
rank #222
10 families · 5 categories · high
Benchmark evidence
60 results
agentic coding
| τ²-Bench | thinking | 90.6 % | independent | Artificial Analysis |
| τ²-Bench | no reasoning | 79.0 % | independent | Artificial Analysis |
| τ²-Bench subset=banking | thinking | 18.8 % | independent | Artificial Analysis |
coding
| LiveCodeBench v6 implementation=artificial-analysis | thinking | 86.2 % | independent | Artificial Analysis |
| LiveCodeBench v6 implementation=artificial-analysis | no reasoning | 59.3 % | independent | Artificial Analysis |
| SciCode | thinking | 38.9 % | independent | Artificial Analysis |
| SciCode | no reasoning | 38.7 % | independent | Artificial Analysis |
external indices
| AA Coding Index | thinking | 44.2 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | thinking | 32.0 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | no reasoning | 24.7 points | independent | Artificial Analysis |
| AA Math Index | thinking | 92.0 points | independent | Artificial Analysis |
| AA Math Index | no reasoning | 59.0 points | independent | Artificial Analysis |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | 1469.6 1463.2–1476.0 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1462.9 1450.2–1475.6 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1457.2 1451.9–1462.6 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1455.3 1449.3–1461.4 | 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 | 1451.2 1443.8–1458.6 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1448.6 1437.6–1459.6 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1447.2 1442.6–1451.7 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1441.8 1435.8–1447.7 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1441.7 1430.3–1453.0 | community | LMArena Leaderboard Dataset | |
| French (style control)older version arena=text · category=french · style_control=true | 1441.3 1422.1–1460.5 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1437.8 1424.9–1450.8 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1436.7 1431.7–1441.6 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1430.6 1420.1–1441.2 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1428.9 1418.0–1439.9 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1427.9 1420.7–1435.1 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1425.1 1421.5–1428.7 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1424.1 1415.5–1432.7 | 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 | 1421.3 1414.4–1428.2 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1420.9 1415.1–1426.8 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1418.2 1400.4–1436.1 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1416.3 1411.2–1421.3 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | 1412.2 1391.0–1433.3 | 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 | 1410.1 1403.6–1416.5 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1409.3 1404.7–1413.8 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1400.7 1392.9–1408.5 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1400.6 1383.8–1417.5 | 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 | 1396.0 1388.9–1403.0 | community | LMArena Leaderboard Dataset | |
| Korean (style control)older version arena=text · category=korean · style_control=true | 1368.3 1346.1–1390.5 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=artificial-analysis | thinking | 84.0 % | independent | Artificial Analysis |
| GPQA Diamond implementation=artificial-analysis | no reasoning | 75.1 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | thinking | 22.2 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | no reasoning | 10.5 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | thinking | 86.2 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | no reasoning | 83.7 % | independent | Artificial Analysis |
long context instruction
| AA-LCR | thinking | 65.0 % | independent | Artificial Analysis |
| AA-LCR | no reasoning | 39.0 % | independent | Artificial Analysis |
| IFBench | thinking | 60.7 % | independent | Artificial Analysis |
| IFBench | no reasoning | 49.0 % | independent | Artificial Analysis |
reasoning math
| AIME year=2025 · implementation=artificial-analysis | thinking | 92.0 % | independent | Artificial Analysis |
| AIME year=2025 · implementation=artificial-analysis | no reasoning | 59.0 % | independent | Artificial Analysis |
| ARC-AGI-1older version split=public_eval · model_type=Base LLM | 61.6 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=Base LLM | 57.0 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=Base LLM | 4.0 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=Base LLM | 3.9 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=Base LLM | 0.1 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=Base LLM | 0.1 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=Base LLM | 0.1 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=public_eval · model_type=Base LLM | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
Agent + model results
systems, not bare-model scores
| agent + model mini-SWE-agent + Deepseek V3 2 | SWE-bench Verified | 70.0 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Deepseek V3 2 | SWE-bench bash-only | 70.0 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Deepseek V3 2 | SWE-bench Multilingual | 59.0 % | community | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Deepseek V3 2 | SWE-bench Verified | 0.4 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Deepseek V3 2 | SWE-bench bash-only | 0.4 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Deepseek V3 2 | SWE-bench Multilingual | 0.4 usd_per_task | community | SWE-bench Leaderboard |
| agent + model Artificial Analysis harness + Deepseek V3 2 | Terminal-Bench 2.1 | 46.8 % | independent | Artificial Analysis |
| agent + model terminus-2 + Deepseek V3 2 | Terminal-Bench 2.0 | 39.5 % | unverified | Terminal-Bench Leaderboard |
| agent + model Artificial Analysis harness + Deepseek V3 2 | Terminal-Bench Hard | 35.6 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + Deepseek V3 2 | Terminal-Bench Hard | 32.6 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
