Model comparison
GLM-4.5 vs Granite 3.1 8b Instruct
GLM-4.5 is the stronger model overall, scoring 41.4 to 31.8 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. GLM-4.5 scores higher in 8 categories and Granite 3.1 8b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5 leads 57.7 to 35.7.
Side by side
| GLM-4.5 | Granite 3.1 8b Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | IBM |
| Noometry Index | 41.4 | 31.8 |
| 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 | 13 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.1 (#121), Granite 3.1 8b Instruct: 33.9 (#232)
| Benchmark | GLM-4.5 | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Coding | 1434 | 1186 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
GLM-4.5: —, Granite 3.1 8b Instruct: 23.9 (#113)
| Benchmark | GLM-4.5 | Granite 3.1 8b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.1% |
Reasoning GLM-4.5 leads
GLM-4.5: 27.7 (#99), Granite 3.1 8b Instruct: 21.2 (#204)
| Benchmark | GLM-4.5 | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1146 |
| Kagi LLM Benchmark | 57.9% | — |
Math GLM-4.5 leads
GLM-4.5: 36.3 (#119), Granite 3.1 8b Instruct: 30.4 (#210)
| Benchmark | GLM-4.5 | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Math | 1427 | 1152 |
Knowledge GLM-4.5 leads
GLM-4.5: 35.5 (#172), Granite 3.1 8b Instruct: 30.6 (#218)
| Benchmark | GLM-4.5 | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Expert | 1433 | 1142 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 53.0 (#74), Granite 3.1 8b Instruct: 31.1 (#255)
| Benchmark | GLM-4.5 | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Non-English | 1417 | 1099 |
| LMArena Chinese | 1465 | 1145 |
| LMArena Russian | 1414 | 1092 |
| 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 3.1 8b Instruct: 58.9 (#254)
| Benchmark | GLM-4.5 | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Instruction Following | 1405 | 1131 |
Long Context GLM-4.5 leads
GLM-4.5: 38.2 (#196), Granite 3.1 8b Instruct: 35.2 (#236)
| Benchmark | GLM-4.5 | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Longer Query | 1413 | 1162 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.7 (#121), Granite 3.1 8b Instruct: 35.7 (#261)
| Benchmark | GLM-4.5 | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Text | 1430 | 1150 |
| LMArena Creative Writing | 1395 | 1129 |
| LMArena Multi-Turn | 1415 | 1108 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Granite 3.1 8b Instruct?
GLM-4.5 is the stronger model overall, scoring 41.4 to 31.8 on the Noometry Index.
Is GLM-4.5 or Granite 3.1 8b Instruct better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.1 versus 33.9 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Granite 3.1 8b Instruct share?
12 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Granite 3.1 8b Instruct has 13.