Rankings / Alibaba
Qwen3 32B
open weightsreleased 2025-04-28
BenchAtlas Index
as of 2026-07-14
thinking
rank #360
10 families · 5 categories · high
no reasoning
rank #408
9 families · 5 categories · high
Benchmark evidence
42 results
agentic coding
| τ²-Bench | thinking | 29.8 % | independent | Artificial Analysis |
| τ²-Bench subset=banking | thinking | 5.4 % | independent | Artificial Analysis |
coding
| LiveCodeBench v6 implementation=artificial-analysis | thinking | 54.6 % | independent | Artificial Analysis |
| LiveCodeBench v6 implementation=artificial-analysis | no reasoning | 28.8 % | independent | Artificial Analysis |
| SciCode | thinking | 35.4 % | independent | Artificial Analysis |
| SciCode | no reasoning | 28.0 % | independent | Artificial Analysis |
external indices
| AA Coding Index | thinking | 15.3 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | thinking | 11.5 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | no reasoning | 8.6 points | independent | Artificial Analysis |
| AA Math Index | thinking | 73.0 points | independent | Artificial Analysis |
| AA Math Index | no reasoning | 19.7 points | independent | Artificial Analysis |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | 1407.5 1383.1–1431.8 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1398.3 1379.0–1417.6 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1382.1 1361.3–1403.0 | 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 | 1378.5 1358.1–1399.0 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1367.4 1351.3–1383.6 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1365.6 1353.2–1378.0 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1354.9 1330.3–1379.6 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1347.3 1337.8–1356.7 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1338.0 1314.7–1361.4 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1331.8 1312.8–1350.8 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1323.9 1310.6–1337.2 | 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 | 1308.0 1291.0–1325.0 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1307.4 1292.7–1322.0 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1304.6 1282.0–1327.3 | 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 | 1286.3 1265.5–1307.0 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=artificial-analysis | thinking | 66.8 % | independent | Artificial Analysis |
| GPQA Diamond implementation=artificial-analysis | no reasoning | 53.5 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | thinking | 8.3 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | no reasoning | 4.3 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | thinking | 79.8 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | no reasoning | 72.7 % | independent | Artificial Analysis |
long context instruction
| AA-LCR | thinking | 0.0 % | independent | Artificial Analysis |
| AA-LCR | no reasoning | 0.0 % | independent | Artificial Analysis |
| IFBench | thinking | 36.3 % | independent | Artificial Analysis |
| IFBench | no reasoning | 31.5 % | independent | Artificial Analysis |
reasoning math
| AIME implementation=artificial-analysis | thinking | 80.7 % | independent | Artificial Analysis |
| AIME year=2025 · implementation=artificial-analysis | thinking | 73.0 % | independent | Artificial Analysis |
| AIME implementation=artificial-analysis | no reasoning | 30.3 % | independent | Artificial Analysis |
| AIME year=2025 · implementation=artificial-analysis | no reasoning | 19.7 % | independent | Artificial Analysis |
| MATH-500 implementation=artificial-analysis | thinking | 96.1 % | independent | Artificial Analysis |
| MATH-500 implementation=artificial-analysis | no reasoning | 86.9 % | independent | Artificial Analysis |
Agent + model results
systems, not bare-model scores
| agent + model terminalagent + Qwen3 32B | Terminal-Bench 1.0 | 15.5 % | unverified | Terminal-Bench Leaderboard |
| agent + model Artificial Analysis harness + Qwen3 32B | Terminal-Bench 2.1 | 5.2 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + Qwen3 32B | Terminal-Bench Hard | 3.0 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
