Model comparison
GLM-4.5V vs Mercury
GLM-4.5V is the stronger model overall, scoring 39.8 to 37.6 on the Noometry Index.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. GLM-4.5V scores higher in 6 categories and Mercury in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5V leads 27.4 to 17.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 59.8% for GLM-4.5V and 21.6% for Mercury.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Mercury | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Inception |
| Noometry Index | 39.8 | 37.6 |
| Released | 2025-08-11 | — |
| Weights | Open | Proprietary |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 9 |
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Category by category
Coding Too close to call
GLM-4.5V: 39.5 (#155), Mercury: 38.7 (#170)
| Benchmark | GLM-4.5V | Mercury |
|---|---|---|
| LMArena Coding | 1347 | 1322 |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Mercury: 17.5 (#293)
| Benchmark | GLM-4.5V | Mercury |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | 21.6% |
| LMArena Hard Prompts | 1334 | 1285 |
Math Not comparable
GLM-4.5V: 37.4 (#159), Mercury: —
| Benchmark | GLM-4.5V | Mercury |
|---|---|---|
| LMArena Math | 1354 | — |
Knowledge Not comparable
GLM-4.5V: 37.5 (#156), Mercury: —
| Benchmark | GLM-4.5V | Mercury |
|---|---|---|
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Mercury: —
| Benchmark | GLM-4.5V | Mercury |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.6 (#177), Mercury: 41.6 (#206)
| Benchmark | GLM-4.5V | Mercury |
|---|---|---|
| LMArena Non-English | 1303 | 1260 |
| LMArena Chinese | 1337 | — |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.2 (#175), Mercury: 65.2 (#224)
| Benchmark | GLM-4.5V | Mercury |
|---|---|---|
| LMArena Instruction Following | 1311 | 1239 |
Long Context GLM-4.5V leads
GLM-4.5V: 39.6 (#171), Mercury: 38.4 (#198)
| Benchmark | GLM-4.5V | Mercury |
|---|---|---|
| LMArena Longer Query | 1304 | 1266 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.5 (#170), Mercury: 46.2 (#221)
| Benchmark | GLM-4.5V | Mercury |
|---|---|---|
| LMArena Text | 1333 | 1282 |
| LMArena Creative Writing | 1295 | 1191 |
| LMArena Multi-Turn | 1332 | 1282 |
Frequently asked questions
Is GLM-4.5V better than Mercury?
GLM-4.5V is the stronger model overall, scoring 39.8 to 37.6 on the Noometry Index.
Is GLM-4.5V or Mercury better for coding?
They score almost the same on coding (39.5 vs 38.7); test both on your own repository before choosing.
How many benchmarks do GLM-4.5V and Mercury share?
9 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Mercury has 9.