Model comparison
GLM-4.7-Flash vs Granite 4.2 30b
Granite 4.2 30b is the stronger model overall, scoring 41.8 to 38.8 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Granite 4.2 30b in 7 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Granite 4.2 30b leads 27.8 to 20.9.
Side by side
| GLM-4.7-Flash | Granite 4.2 30b | |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 38.8 | 41.8 |
| Released | 2026-01-19 | — |
| Weights | Open | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 11 |
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Category by category
Coding Too close to call
GLM-4.7-Flash: 40.6 (#135), Granite 4.2 30b: 41.0 (#126)
| Benchmark | GLM-4.7-Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Coding | 1383 | 1396 |
Reasoning Granite 4.2 30b leads
GLM-4.7-Flash: 20.9 (#229), Granite 4.2 30b: 27.8 (#112)
| Benchmark | GLM-4.7-Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1374 |
| Chess Puzzles | 0% | — |
Math Not comparable
GLM-4.7-Flash: 36.1 (#173), Granite 4.2 30b: —
| Benchmark | GLM-4.7-Flash | Granite 4.2 30b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| LMArena Math | 1355 | — |
Knowledge Granite 4.2 30b leads
GLM-4.7-Flash: 35.5 (#184), Granite 4.2 30b: 39.1 (#138)
| Benchmark | GLM-4.7-Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Expert | 1357 | 1406 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual Too close to call
GLM-4.7-Flash: 46.5 (#158), Granite 4.2 30b: 47.3 (#151)
| Benchmark | GLM-4.7-Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Non-English | 1330 | 1340 |
| LMArena Chinese | 1403 | 1414 |
| LMArena Russian | 1332 | 1343 |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Spanish | 1350 | — |
Instruction Following Granite 4.2 30b leads
GLM-4.7-Flash: 70.1 (#167), Granite 4.2 30b: 71.2 (#155)
| Benchmark | GLM-4.7-Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Instruction Following | 1327 | 1347 |
Long Context Too close to call
GLM-4.7-Flash: 40.9 (#148), Granite 4.2 30b: 41.4 (#140)
| Benchmark | GLM-4.7-Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Longer Query | 1345 | 1359 |
Writing & Preference Granite 4.2 30b leads
GLM-4.7-Flash: 47.4 (#210), Granite 4.2 30b: 53.8 (#156)
| Benchmark | GLM-4.7-Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Text | 1351 | 1361 |
| LMArena Creative Writing | 1297 | 1288 |
| LMArena Multi-Turn | 1342 | 1339 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Granite 4.2 30b?
Granite 4.2 30b is the stronger model overall, scoring 41.8 to 38.8 on the Noometry Index.
Is GLM-4.7-Flash or Granite 4.2 30b better for coding?
They score almost the same on coding (40.6 vs 41.0); test both on your own repository before choosing.
How many benchmarks do GLM-4.7-Flash and Granite 4.2 30b share?
11 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Granite 4.2 30b has 11.