Rankings / Z.ai
GLM 4.7
released 2025-12-22
BenchAtlas Index
as of 2026-07-14
thinking
rank #176
9 families · 5 categories · high
base configuration
rank #232
4 families · 3 categories · medium
base configuration
rank #288
8 families · 3 categories · medium
Benchmark evidence
59 results
agentic coding
| τ²-Bench | thinking | 95.9 % | independent | Artificial Analysis |
| τ²-Bench | no reasoning | 94.2 % | independent | Artificial Analysis |
| τ²-Bench subset=banking | thinking | 9.7 % | independent | Artificial Analysis |
coding
| LiveCodeBench v6 implementation=artificial-analysis | thinking | 89.4 % | independent | Artificial Analysis |
| LiveCodeBench v6 implementation=artificial-analysis | no reasoning | 56.2 % | independent | Artificial Analysis |
| SciCode | thinking | 45.1 % | independent | Artificial Analysis |
| SciCode | no reasoning | 35.4 % | independent | Artificial Analysis |
external indices
| AA Coding Index | thinking | 45.3 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | thinking | 33.7 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | no reasoning | 26.6 points | independent | Artificial Analysis |
| AA Math Index | thinking | 95.0 points | independent | Artificial Analysis |
| AA Math Index | no reasoning | 48.0 points | independent | Artificial Analysis |
| ECI | 143.7 points | independent | Epoch AI Benchmarking Hub |
factuality
| SimpleQA Verified | 31.5 % | independent | Epoch AI Benchmarking Hub 2026-01-30 |
human preference
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1487.0 1464.9–1509.2 | community | LMArena Leaderboard Dataset | |
| Coding (style control)older version arena=text · category=coding · style_control=true | 1485.6 1473.5–1497.6 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1481.6 1461.2–1501.9 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1474.5 1465.1–1483.9 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1473.2 1462.5–1483.8 | 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 | 1471.2 1458.4–1483.9 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1463.0 1454.7–1471.4 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1463.0 1455.2–1470.8 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1459.3 1445.7–1472.9 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1454.5 1435.8–1473.2 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1452.5 1441.8–1463.1 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1446.8 1424.9–1468.6 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1442.5 1436.4–1448.6 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1442.2 1433.6–1450.8 | 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 | 1441.7 1429.3–1454.0 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1433.8 1418.4–1449.3 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1428.1 1417.7–1438.5 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1427.6 1406.7–1448.6 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1420.8 1397.1–1444.4 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1420.7 1413.0–1428.4 | 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 | 1417.9 1406.8–1429.1 | 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 | 1407.0 1395.1–1418.9 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1405.5 1392.1–1418.9 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=artificial-analysis | thinking | 85.9 % | independent | Artificial Analysis |
| GPQA Diamond | 83.3 % | independent | Epoch AI Benchmarking Hub 2026-01-29 | |
| GPQA Diamond implementation=vals-ai | 80.0 % | independent | Vals AI | |
| GPQA Diamond implementation=artificial-analysis | no reasoning | 66.4 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | thinking | 25.1 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | no reasoning | 6.1 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | thinking | 85.6 % | independent | Artificial Analysis |
| MMLU-Pro implementation=vals-ai | 82.7 % | independent | Vals AI | |
| MMLU-Pro implementation=artificial-analysis | no reasoning | 79.4 % | independent | Artificial Analysis |
long context instruction
| AA-LCR | thinking | 64.0 % | independent | Artificial Analysis |
| AA-LCR | no reasoning | 36.3 % | independent | Artificial Analysis |
| IFBench | thinking | 67.9 % | independent | Artificial Analysis |
| IFBench | no reasoning | 54.6 % | independent | Artificial Analysis |
professional
| CaseLaw | 54.9 % | independent | Vals AI | |
| CorpFin | 46.4 % | independent | Vals AI | |
| LegalBench | 83.4 % | independent | Vals AI | |
| MedQA | 93.7 % | independent | Vals AI | |
| TaxEval | 68.8 % | independent | Vals AI |
reasoning math
| AIME year=2025 · implementation=artificial-analysis | thinking | 95.0 % | independent | Artificial Analysis |
| AIME implementation=vals-ai | 93.3 % | independent | Vals AI | |
| AIME year=2025 · implementation=artificial-analysis | no reasoning | 48.0 % | independent | Artificial Analysis |
| OTIS Mock AIME 2024–2025 | 83.3 % | independent | Epoch AI Benchmarking Hub 2026-01-29 |
Agent + model results
systems, not bare-model scores
| agent + model Artificial Analysis harness + GLM 4.7 | Terminal-Bench 2.1 | 45.3 % | independent | Artificial Analysis |
| agent + model terminus-2 + GLM 4.7 | Terminal-Bench 2.0 | 33.4 % | community | Terminal-Bench Leaderboard |
| agent + model Crux + GLM 4.7 | Terminal-Bench 2.0 | 33.3 % | unverified | Terminal-Bench Leaderboard |
| agent + model Artificial Analysis harness + GLM 4.7 | Terminal-Bench Hard | 31.8 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + GLM 4.7 | Terminal-Bench Hard | 30.3 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
