Model comparison
GLM-4.5 vs Granite 4.2 30b
GLM-4.5 and Granite 4.2 30b score almost the same on the Noometry Index (41.4 vs 41.4), 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-4.5 scores higher in 5 categories and Granite 4.2 30b in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 53.0 to 47.4.
Side by side
| GLM-4.5 | Granite 4.2 30b | |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 41.4 | 41.4 |
| Released | 2025-07-27 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 11 |
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Category by category
Coding Too close to call
GLM-4.5: 41.1 (#121), Granite 4.2 30b: 40.4 (#127)
| Benchmark | GLM-4.5 | Granite 4.2 30b |
|---|---|---|
| LMArena Coding | 1434 | 1394 |
| 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: 27.7 (#99), Granite 4.2 30b: 26.7 (#114)
| Benchmark | GLM-4.5 | Granite 4.2 30b |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1375 |
| Kagi LLM Benchmark | 57.9% | — |
Math Not comparable
GLM-4.5: 36.3 (#119), Granite 4.2 30b: —
| Benchmark | GLM-4.5 | Granite 4.2 30b |
|---|---|---|
| LMArena Math | 1427 | — |
Knowledge Granite 4.2 30b leads
GLM-4.5: 35.5 (#172), Granite 4.2 30b: 38.5 (#134)
| Benchmark | GLM-4.5 | Granite 4.2 30b |
|---|---|---|
| LMArena Expert | 1433 | 1405 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 53.0 (#74), Granite 4.2 30b: 47.4 (#146)
| Benchmark | GLM-4.5 | Granite 4.2 30b |
|---|---|---|
| LMArena Non-English | 1417 | 1340 |
| LMArena Chinese | 1465 | 1415 |
| LMArena Russian | 1414 | 1342 |
| LMArena French | 1423 | — |
| LMArena German | 1406 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1382 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.3 (#100), Granite 4.2 30b: 71.3 (#150)
| Benchmark | GLM-4.5 | Granite 4.2 30b |
|---|---|---|
| LMArena Instruction Following | 1405 | 1346 |
Long Context Granite 4.2 30b leads
GLM-4.5: 38.2 (#196), Granite 4.2 30b: 41.4 (#135)
| Benchmark | GLM-4.5 | Granite 4.2 30b |
|---|---|---|
| LMArena Longer Query | 1413 | 1359 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.7 (#121), Granite 4.2 30b: 54.3 (#147)
| Benchmark | GLM-4.5 | Granite 4.2 30b |
|---|---|---|
| LMArena Text | 1430 | 1363 |
| LMArena Creative Writing | 1395 | 1294 |
| LMArena Multi-Turn | 1415 | 1340 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Granite 4.2 30b?
GLM-4.5 and Granite 4.2 30b score almost the same on the Noometry Index (41.4 vs 41.4), so choose on price, context window or the category you care about most.
Is GLM-4.5 or Granite 4.2 30b better for coding?
They score almost the same on coding (41.1 vs 40.4); test both on your own repository before choosing.
How many benchmarks do GLM-4.5 and Granite 4.2 30b share?
11 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Granite 4.2 30b has 11.