Model comparison
GLM-4.5V vs Mercury 2
GLM-4.5V and Mercury 2 score almost the same on the Noometry Index (39.8 vs 39.1), so choose on price, context window or the category you care about most.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GLM-4.5V scores higher in 3 categories and Mercury 2 in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.5V leads 39.5 to 33.5.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Mercury 2 accepts more context: 128K tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Mercury 2 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Inception |
| Noometry Index | 39.8 | 39.1 |
| Released | 2025-08-11 | 2026-02-20 |
| Weights | Open | Proprietary |
| Context window | 64K | 128K |
| Max output | 16K | 50K |
| Input $ / M tokens | $0.60 | $0.25 |
| Output $ / M tokens | $1.80 | $0.75 |
| Results tracked | 15 | 17 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Mercury 2: 33.5 (#255)
| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Coding | 1347 | 1391 |
| LMArena WebDev | — | 1171 |
| SciCode | — | 38.7% |
| WeirdML | — | 43.2% |
| ALE-Bench | — | 785.58 |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Mercury 2: 23.8 (#170)
| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1362 |
| Kagi LLM Benchmark | 59.8% | — |
| CritPt | — | 0.8% |
Math Not comparable
GLM-4.5V: 37.4 (#159), Mercury 2: —
| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Math | 1354 | — |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Mercury 2: 36.2 (#172)
| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Expert | 1353 | 1358 |
| Vectara Hallucination Rate | — | 12.3% |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Mercury 2: —
| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Mercury 2 leads
GLM-4.5V: 44.6 (#177), Mercury 2: 46.6 (#157)
| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1303 | 1331 |
| LMArena Chinese | 1337 | 1417 |
| LMArena Russian | 1298 | 1304 |
| LMArena Spanish | 1336 | — |
Instruction Following Too close to call
GLM-4.5V: 69.2 (#175), Mercury 2: 70.2 (#165)
| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1311 | 1329 |
Long Context Too close to call
GLM-4.5V: 39.6 (#171), Mercury 2: 40.5 (#154)
| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1304 | 1330 |
Writing & Preference Mercury 2 leads
GLM-4.5V: 52.5 (#170), Mercury 2: 53.8 (#155)
| Benchmark | GLM-4.5V | Mercury 2 |
|---|---|---|
| LMArena Text | 1333 | 1355 |
| LMArena Creative Writing | 1295 | 1289 |
| LMArena Multi-Turn | 1332 | 1358 |
Frequently asked questions
Is GLM-4.5V better than Mercury 2?
GLM-4.5V and Mercury 2 score almost the same on the Noometry Index (39.8 vs 39.1), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.5V or Mercury 2?
Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.
Is GLM-4.5V or Mercury 2 better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
Mercury 2 does, with 128K tokens against 64K.
How many benchmarks do GLM-4.5V and Mercury 2 share?
11 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Mercury 2 has 17.