Model comparison
GLM-4.5 vs Mercury
GLM-4.5 is the stronger model overall, scoring 42.0 to 37.6 on the Noometry Index.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and Mercury in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5 leads 57.5 to 46.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 21.6% for Mercury.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | Mercury | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Inception |
| Noometry Index | 42.0 | 37.6 |
| Released | 2025-07-27 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 9 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Mercury: 38.7 (#170)
| Benchmark | GLM-4.5 | Mercury |
|---|---|---|
| LMArena Coding | 1434 | 1322 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Mercury: 17.5 (#293)
| Benchmark | GLM-4.5 | Mercury |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 21.6% |
| LMArena Hard Prompts | 1429 | 1285 |
Math Not comparable
GLM-4.5: 39.0 (#116), Mercury: —
| Benchmark | GLM-4.5 | Mercury |
|---|---|---|
| LMArena Math | 1427 | — |
Knowledge Not comparable
GLM-4.5: 35.9 (#179), Mercury: —
| Benchmark | GLM-4.5 | Mercury |
|---|---|---|
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Mercury: 41.6 (#206)
| Benchmark | GLM-4.5 | Mercury |
|---|---|---|
| LMArena Non-English | 1417 | 1260 |
| LMArena Chinese | 1465 | — |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), Mercury: 65.2 (#224)
| Benchmark | GLM-4.5 | Mercury |
|---|---|---|
| LMArena Instruction Following | 1404 | 1239 |
Long Context Too close to call
GLM-4.5: 38.2 (#201), Mercury: 38.4 (#198)
| Benchmark | GLM-4.5 | Mercury |
|---|---|---|
| LMArena Longer Query | 1412 | 1266 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Mercury: 46.2 (#221)
| Benchmark | GLM-4.5 | Mercury |
|---|---|---|
| LMArena Text | 1430 | 1282 |
| LMArena Creative Writing | 1395 | 1191 |
| LMArena Multi-Turn | 1415 | 1282 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Mercury?
GLM-4.5 is the stronger model overall, scoring 42.0 to 37.6 on the Noometry Index.
Is GLM-4.5 or Mercury better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 38.7 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Mercury share?
9 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mercury has 9.