Model comparison
GLM-4.5 vs Mercury 2
GLM-4.5 is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mercury 2 costs 2.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and Mercury 2 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.5 leads 41.4 to 33.5.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- GLM-4.5 accepts more context: 131K tokens versus 128K.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | Mercury 2 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Inception |
| Noometry Index | 42.0 | 39.1 |
| Released | 2025-07-27 | 2026-02-20 |
| Weights | Open | Proprietary |
| Context window | 131K | 128K |
| Max output | 98K | 50K |
| Input $ / M tokens | $0.60 | $0.25 |
| Output $ / M tokens | $2.20 | $0.75 |
| Results tracked | 27 | 17 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Mercury 2: 33.5 (#255)
| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| WeirdML | 40.6% | 43.2% |
| LMArena Coding | 1434 | 1391 |
| ALE-Bench | 344.82 | 785.58 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1171 |
| SciCode | — | 38.7% |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Mercury 2: 23.8 (#170)
| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1362 |
| Kagi LLM Benchmark | 57.9% | — |
| CritPt | — | 0.8% |
Math Not comparable
GLM-4.5: 39.0 (#116), Mercury 2: —
| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Math | 1427 | — |
Knowledge Too close to call
GLM-4.5: 35.9 (#179), Mercury 2: 36.2 (#172)
| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Expert | 1433 | 1358 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 12.3% |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Mercury 2: 46.6 (#157)
| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1417 | 1331 |
| LMArena Chinese | 1465 | 1417 |
| LMArena Russian | 1414 | 1304 |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), Mercury 2: 70.2 (#165)
| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1329 |
Long Context Mercury 2 leads
GLM-4.5: 38.2 (#201), Mercury 2: 40.5 (#154)
| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1412 | 1330 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Mercury 2: 53.8 (#155)
| Benchmark | GLM-4.5 | Mercury 2 |
|---|---|---|
| LMArena Text | 1430 | 1355 |
| LMArena Creative Writing | 1395 | 1289 |
| LMArena Multi-Turn | 1415 | 1358 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Mercury 2?
GLM-4.5 is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mercury 2 costs 2.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.
Which is cheaper, GLM-4.5 or Mercury 2?
Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.
Is GLM-4.5 or Mercury 2 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
GLM-4.5 does, with 131K tokens against 128K.
How many benchmarks do GLM-4.5 and Mercury 2 share?
13 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mercury 2 has 17.