Model comparison
GLM-4.5-Air vs Granite 4.2 8B
Granite 4.2 8B is the stronger model overall, scoring 40.0 to 38.7 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GLM-4.5-Air scores higher in 4 categories and Granite 4.2 8B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5-Air leads 56.1 to 49.8.
- Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
Side by side
| GLM-4.5-Air | Granite 4.2 8B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 38.7 | 40.0 |
| Released | 2025-07-20 | — |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 98K | 118K |
| Input $ / M tokens | $0.20 | $0.06 |
| Output $ / M tokens | $1.10 | $0.25 |
| Results tracked | 27 | 11 |
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Category by category
Coding Granite 4.2 8B leads
GLM-4.5-Air: 34.5 (#225), Granite 4.2 8B: 39.9 (#138)
| Benchmark | GLM-4.5-Air | Granite 4.2 8B |
|---|---|---|
| LMArena Coding | 1397 | 1379 |
| GSO | 2.9% | — |
Reasoning Granite 4.2 8B leads
GLM-4.5-Air: 23.3 (#166), Granite 4.2 8B: 25.5 (#130)
| Benchmark | GLM-4.5-Air | Granite 4.2 8B |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1327 |
| Kagi LLM Benchmark | 43% | — |
| ForecastBench | 59.2 | — |
Math Not comparable
GLM-4.5-Air: 33.8 (#166), Granite 4.2 8B: —
| Benchmark | GLM-4.5-Air | Granite 4.2 8B |
|---|---|---|
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
Knowledge Granite 4.2 8B leads
GLM-4.5-Air: 34.6 (#184), Granite 4.2 8B: 37.7 (#144)
| Benchmark | GLM-4.5-Air | Granite 4.2 8B |
|---|---|---|
| LMArena Expert | 1370 | 1380 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
Multilingual GLM-4.5-Air leads
GLM-4.5-Air: 49.4 (#130), Granite 4.2 8B: 44.5 (#173)
| Benchmark | GLM-4.5-Air | Granite 4.2 8B |
|---|---|---|
| LMArena Non-English | 1366 | 1299 |
| LMArena Chinese | 1427 | 1361 |
| LMArena Russian | 1373 | 1283 |
| LMArena French | 1399 | — |
| LMArena German | 1376 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1306 | — |
| LMArena Spanish | 1385 | — |
Instruction Following GLM-4.5-Air leads
GLM-4.5-Air: 69.8 (#165), Granite 4.2 8B: 68.7 (#183)
| Benchmark | GLM-4.5-Air | Granite 4.2 8B |
|---|---|---|
| LMArena Instruction Following | 1353 | 1298 |
| IFEval | 81.2% | — |
Long Context GLM-4.5-Air leads
GLM-4.5-Air: 41.6 (#130), Granite 4.2 8B: 40.2 (#154)
| Benchmark | GLM-4.5-Air | Granite 4.2 8B |
|---|---|---|
| LMArena Longer Query | 1367 | 1323 |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 56.1 (#134), Granite 4.2 8B: 49.8 (#183)
| Benchmark | GLM-4.5-Air | Granite 4.2 8B |
|---|---|---|
| LMArena Text | 1384 | 1319 |
| LMArena Creative Writing | 1343 | 1238 |
| LMArena Multi-Turn | 1371 | 1299 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Granite 4.2 8B?
Granite 4.2 8B is the stronger model overall, scoring 40.0 to 38.7 on the Noometry Index.
Which is cheaper, GLM-4.5-Air or Granite 4.2 8B?
Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.
Is GLM-4.5-Air or Granite 4.2 8B better for coding?
Granite 4.2 8B scores higher on coding benchmarks: 39.9 versus 34.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do GLM-4.5-Air and Granite 4.2 8B share?
11 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Granite 4.2 8B has 11.