Model comparison
GLM-4.5V vs Granite 4.2 8B
GLM-4.5V and Granite 4.2 8B score almost the same on the Noometry Index (39.2 vs 40.0), 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-4.5V scores higher in 4 categories and Granite 4.2 8B in 3 categories; 3 gaps are clear of the uncertainty.
- Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Granite 4.2 8B accepts more context: 131K tokens versus 64K.
Side by side
| GLM-4.5V | Granite 4.2 8B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 39.2 | 40.0 |
| Released | 2025-08-11 | — |
| Weights | Open | Open |
| Context window | 64K | 131K |
| Max output | 16K | 118K |
| Input $ / M tokens | $0.60 | $0.06 |
| Output $ / M tokens | $1.80 | $0.25 |
| Results tracked | 15 | 11 |
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Category by category
Coding Granite 4.2 8B leads
GLM-4.5V: 38.9 (#152), Granite 4.2 8B: 39.9 (#138)
| Benchmark | GLM-4.5V | Granite 4.2 8B |
|---|---|---|
| LMArena Coding | 1347 | 1379 |
Reasoning GLM-4.5V leads
GLM-4.5V: 26.5 (#118), Granite 4.2 8B: 25.5 (#130)
| Benchmark | GLM-4.5V | Granite 4.2 8B |
|---|---|---|
| LMArena Hard Prompts | 1335 | 1327 |
| Kagi LLM Benchmark | 59.8% | — |
Math Not comparable
GLM-4.5V: 34.7 (#157), Granite 4.2 8B: —
| Benchmark | GLM-4.5V | Granite 4.2 8B |
|---|---|---|
| LMArena Math | 1353 | — |
Knowledge Too close to call
GLM-4.5V: 36.8 (#155), Granite 4.2 8B: 37.7 (#144)
| Benchmark | GLM-4.5V | Granite 4.2 8B |
|---|---|---|
| LMArena Expert | 1353 | 1380 |
Multimodal Not comparable
GLM-4.5V: 33.6 (#86), Granite 4.2 8B: —
| Benchmark | GLM-4.5V | Granite 4.2 8B |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Too close to call
GLM-4.5V: 44.9 (#172), Granite 4.2 8B: 44.5 (#173)
| Benchmark | GLM-4.5V | Granite 4.2 8B |
|---|---|---|
| LMArena Non-English | 1304 | 1299 |
| LMArena Chinese | 1338 | 1361 |
| LMArena Russian | 1299 | 1283 |
| LMArena Spanish | 1335 | — |
Instruction Following Too close to call
GLM-4.5V: 69.4 (#170), Granite 4.2 8B: 68.7 (#183)
| Benchmark | GLM-4.5V | Granite 4.2 8B |
|---|---|---|
| LMArena Instruction Following | 1311 | 1298 |
Long Context Too close to call
GLM-4.5V: 39.6 (#166), Granite 4.2 8B: 40.2 (#154)
| Benchmark | GLM-4.5V | Granite 4.2 8B |
|---|---|---|
| LMArena Longer Query | 1305 | 1323 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.7 (#162), Granite 4.2 8B: 49.8 (#183)
| Benchmark | GLM-4.5V | Granite 4.2 8B |
|---|---|---|
| LMArena Text | 1333 | 1319 |
| LMArena Creative Writing | 1295 | 1238 |
| LMArena Multi-Turn | 1333 | 1299 |
Frequently asked questions
Is GLM-4.5V better than Granite 4.2 8B?
GLM-4.5V and Granite 4.2 8B score almost the same on the Noometry Index (39.2 vs 40.0), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.5V 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-4.5V lists at $0.60 and $1.80.
Is GLM-4.5V or Granite 4.2 8B better for coding?
Granite 4.2 8B scores higher on coding benchmarks: 39.9 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
Granite 4.2 8B does, with 131K tokens against 64K.
How many benchmarks do GLM-4.5V and Granite 4.2 8B share?
11 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Granite 4.2 8B has 11.