Z.AI
availableShows if the model has enough results for an index.GLM-4.5
GLM-4.5 is a non-reasoning model from Z.AI. 8 benchmarks count toward its score, in 4 categories.
IndexOverall score. 50 is the middle.46.2 ±9.2
CoverageShare of the index weight with results.65%
SpeedOutput tokens per second.15/s
Input / 1MUS dollars per 1M input tokens.$0.6
Output / 1MUS dollars per 1M output tokens.$2.2
ContextMaximum tokens in one request.131K
EloLMArena rating and rank.1430 (#85)
50 is the middle of the board. The range shows the doubt in the index.
23,712 votes. Elo shows what people prefer. It does not change the score.
CapabilitiesScore per category. 50 is the middle.
50 is the middleResults
8 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result on the index scale. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| MATH 500 | Math | 94.0% | 46.9 | — | 9 Jan 2026 | Vals AI |
| MGSM | Multilingual | 90.8% | — | — | 9 Jan 2026 | Vals AI |
| AIME | Math | 86.7% | 54.1 | — | 16 Apr 2026 | Vals AI |
| MMLU Pro | Knowledge | 81.2% | 48.5 | — | 1 Sept 2026 | Vals AI |
| GPQA Diamond | Knowledge | 72.2% | 44.9 | — | 1 Sept 2026 | Vals AI |
| LiveCodeBench | Coding | 67.4% | 45.6 | — | 1 Sept 2026 | Vals AI |
| SWE-bench Verified | Coding | 59.2% | 45.0 | Undisclosed | 1 Sept 2026 | SWE-bench team |
| SWE-bench Verified | Coding | 54.2% | 41.0 | mini-SWE-agent | 26 Feb 2026 | SWE-bench team |
| Terminal-Bench 1.0 | Agentic | 41.3% | 46.5 | — | 12 Jan 2026 | Vals AI |
| IOI v1 | Coding | 2.9% | 41.6 | — | 9 Aug 2026 | Vals AI |
8 benchmarks count, from 9 of 10 results. A grey row does not count. Too few models took that benchmark.