Z.AI
availableShows if the model has enough results for an index.GLM-5 Thinking
GLM-5 Thinking is a model from Z.AI. 8 benchmarks count toward its score, in 4 categories.
IndexOverall score out of 100.54.6 ±9.2
CoverageShare of the index weight with results.65%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.N/A
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
8 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| AIME | Math | 91.7% | 56.5 | — | 16 Apr 2026 | Vals AI |
| MMLU Pro | Knowledge | 86.0% | 56.1 | — | 1 Sept 2026 | Vals AI |
| GPQA Diamond | Knowledge | 83.3% | 55.2 | — | 1 Sept 2026 | Vals AI |
| LiveCodeBench | Coding | 81.9% | 58.7 | — | 1 Sept 2026 | Vals AI |
| SWE-bench | Coding | 71.4% | 54.8 | — | 1 Sept 2026 | Vals AI |
| Terminal-Bench 2.0 | Agentic | 49.4% | 58.0 | — | 4 Jun 2026 | Vals AI |
| Vibe Code Bench v1.1 | Coding | 23.4% | 51.9 | OpenHands | 21 Sept 2026 | Vals AI |
| IOI v1 | Coding | 22.0% | 52.4 | — | 9 Aug 2026 | Vals AI |
8 benchmarks count, from 8 of 8 results. A grey row does not count. Too few models took that benchmark.