Rankings / Alibaba
Qwen3 30B A3b
open weightsreleased 2025-04-28
BenchAtlas Index
as of 2026-09-11
thinking
rank #391
10 families · 5 categories · high
no reasoning
rank #425
11 families · 5 categories · high
Benchmark evidence
58 results
agentic coding
| τ²-Bench | thinking | 26.0 % | independent | Artificial Analysis |
| τ²-Bench | no reasoning | 22.2 % | independent | Artificial Analysis |
coding
| LiveCodeBench v6 implementation=artificial-analysis | thinking | 50.6 % | independent | Artificial Analysis |
| LiveCodeBench v6 implementation=artificial-analysis | no reasoning | 32.2 % | independent | Artificial Analysis |
| SciCode | thinking | 28.5 % | independent | Artificial Analysis |
| SciCode | no reasoning | 26.4 % | independent | Artificial Analysis |
external indices
| Intelligence Index v4.1 | thinking | 7.6 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | no reasoning | 1.3 points | independent | Artificial Analysis |
| AA Math Index | thinking | 72.3 points | independent | Artificial Analysis |
| AA Math Index | no reasoning | 21.7 points | independent | Artificial Analysis |
| ECI | 136.2 points | independent | Epoch AI Benchmarking Hub | |
| ECI | no reasoning | 136.2 points | independent | Epoch AI Benchmarking Hub |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | 1385.8 1377.0–1394.7 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1371.1 1364.2–1378.1 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1365.2 1350.6–1379.7 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1359.7 1351.3–1368.2 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1359.3 1344.2–1374.4 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1351.6 1337.9–1365.3 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1344.6 1338.5–1350.8 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1344.3 1338.0–1350.7 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1343.2 1326.7–1359.7 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1338.5 1329.6–1347.4 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1336.3 1321.3–1351.3 | 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 | 1332.6 1323.5–1341.8 | 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 | 1330.0 1320.5–1339.5 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1326.8 1322.1–1331.6 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1323.9 1309.9–1337.9 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1320.0 1310.9–1329.2 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1310.1 1302.3–1318.0 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1307.7 1295.6–1319.7 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1304.6 1298.8–1310.4 | 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 | 1304.1 1296.1–1312.1 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | 1303.4 1281.9–1324.9 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1303.0 1289.2–1316.9 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1283.3 1272.8–1293.8 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1275.0 1268.3–1281.8 | 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 | 1269.7 1260.8–1278.6 | community | LMArena Leaderboard Dataset | |
| Japanese (style control)older version arena=text · category=japanese · style_control=true | 1256.3 1233.8–1278.7 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond | 61.7 % | independent | Epoch AI Benchmarking Hub 2026-08-30 | |
| GPQA Diamond implementation=artificial-analysis | thinking | 61.6 % | independent | Artificial Analysis |
| GPQA Diamond implementation=artificial-analysis | no reasoning | 51.5 % | independent | Artificial Analysis |
| GPQA Diamond | no reasoning | 50.4 % | independent | Epoch AI Benchmarking Hub 2026-08-30 |
| Humanity's Last Exam implementation=artificial-analysis | thinking | 6.2 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | no reasoning | 4.6 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | thinking | 77.7 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | no reasoning | 71.0 % | independent | Artificial Analysis |
long context instruction
| AA-LCR | no reasoning | 0.0 % | independent | Artificial Analysis |
| AA-LCR | thinking | 0.0 % | independent | Artificial Analysis |
| IFBench | thinking | 41.5 % | independent | Artificial Analysis |
| IFBench | no reasoning | 31.9 % | independent | Artificial Analysis |
reasoning math
| AIME implementation=artificial-analysis | thinking | 75.3 % | independent | Artificial Analysis |
| AIME year=2025 · implementation=artificial-analysis | thinking | 72.3 % | independent | Artificial Analysis |
| AIME implementation=artificial-analysis | no reasoning | 26.0 % | independent | Artificial Analysis |
| AIME year=2025 · implementation=artificial-analysis | no reasoning | 21.7 % | independent | Artificial Analysis |
| MATH-500 implementation=artificial-analysis | thinking | 95.9 % | independent | Artificial Analysis |
| MATH-500 implementation=artificial-analysis | no reasoning | 86.3 % | independent | Artificial Analysis |
| OTIS Mock AIME 2024–2025 | 62.8 % | independent | Epoch AI Benchmarking Hub 2026-08-28 | |
| OTIS Mock AIME 2024–2025 | no reasoning | 25.6 % | independent | Epoch AI Benchmarking Hub 2026-08-30 |
Agent + model results
systems, not bare-model scores
| agent + model Artificial Analysis harness + Qwen3 30B A3b | Terminal-Bench Hard | 6.8 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + Qwen3 30B A3b | Terminal-Bench Hard | 2.3 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
