Model comparison
GLM-4.5 vs Granite 4.2 8B
GLM-4.5 is the stronger model overall, scoring 42.0 to 40.5 on the Noometry Index. Granite 4.2 8B costs 9.3× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.
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 8B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 52.8 to 44.5.
- Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
Side by side
| GLM-4.5 | Granite 4.2 8B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 42.0 | 40.5 |
| Released | 2025-07-27 | — |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 98K | 118K |
| Input $ / M tokens | $0.60 | $0.06 |
| Output $ / M tokens | $2.20 | $0.25 |
| Results tracked | 27 | 11 |
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Category by category
Coding Too close to call
GLM-4.5: 41.4 (#125), Granite 4.2 8B: 40.5 (#137)
| Benchmark | GLM-4.5 | Granite 4.2 8B |
|---|---|---|
| LMArena Coding | 1434 | 1380 |
| 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: 28.6 (#100), Granite 4.2 8B: 26.6 (#131)
| Benchmark | GLM-4.5 | Granite 4.2 8B |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1329 |
| Kagi LLM Benchmark | 57.9% | — |
Math Not comparable
GLM-4.5: 39.0 (#116), Granite 4.2 8B: —
| Benchmark | GLM-4.5 | Granite 4.2 8B |
|---|---|---|
| LMArena Math | 1427 | — |
Knowledge Granite 4.2 8B leads
GLM-4.5: 35.9 (#179), Granite 4.2 8B: 38.4 (#145)
| Benchmark | GLM-4.5 | Granite 4.2 8B |
|---|---|---|
| LMArena Expert | 1433 | 1384 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Granite 4.2 8B: 44.5 (#178)
| Benchmark | GLM-4.5 | Granite 4.2 8B |
|---|---|---|
| LMArena Non-English | 1417 | 1302 |
| LMArena Chinese | 1465 | 1366 |
| LMArena Russian | 1414 | 1285 |
| 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), Granite 4.2 8B: 68.7 (#184)
| Benchmark | GLM-4.5 | Granite 4.2 8B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1301 |
Long Context Granite 4.2 8B leads
GLM-4.5: 38.2 (#201), Granite 4.2 8B: 40.3 (#159)
| Benchmark | GLM-4.5 | Granite 4.2 8B |
|---|---|---|
| LMArena Longer Query | 1412 | 1324 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Granite 4.2 8B: 49.6 (#189)
| Benchmark | GLM-4.5 | Granite 4.2 8B |
|---|---|---|
| LMArena Text | 1430 | 1320 |
| LMArena Creative Writing | 1395 | 1236 |
| LMArena Multi-Turn | 1415 | 1301 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Granite 4.2 8B?
GLM-4.5 is the stronger model overall, scoring 42.0 to 40.5 on the Noometry Index. Granite 4.2 8B costs 9.3× 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 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 lists at $0.60 and $2.20.
Is GLM-4.5 or Granite 4.2 8B better for coding?
They score almost the same on coding (41.4 vs 40.5); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do GLM-4.5 and Granite 4.2 8B share?
11 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Granite 4.2 8B has 11.