Model comparison
GLM-4.5 vs Yi-1.5-34B
GLM-4.5 is the stronger model overall, scoring 42.0 to 30.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-4.5 scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5 leads 35.9 to 14.8.
Side by side
| GLM-4.5 | Yi-1.5-34B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 42.0 | 30.6 |
| Released | 2025-07-27 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Yi-1.5-34B: 32.4 (#272)
| Benchmark | GLM-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1434 | 1169 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Yi-1.5-34B: 22.5 (#191)
| Benchmark | GLM-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1160 |
| Kagi LLM Benchmark | 57.9% | — |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), Yi-1.5-34B: 27.5 (#249)
| Benchmark | GLM-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1427 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge GLM-4.5 leads
GLM-4.5: 35.9 (#179), Yi-1.5-34B: 14.8 (#295)
| Benchmark | GLM-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1433 | 1144 |
| GPQA Diamond | — | 32% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Yi-1.5-34B: 32.3 (#256)
| Benchmark | GLM-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1417 | 1121 |
| LMArena Chinese | 1465 | 1213 |
| LMArena French | 1418 | 1156 |
| LMArena German | 1407 | 1111 |
| LMArena Japanese | 1415 | 1021 |
| LMArena Korean | 1380 | 1005 |
| LMArena Russian | 1414 | 1091 |
| LMArena Spanish | 1454 | 1121 |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), Yi-1.5-34B: 59.2 (#257)
| Benchmark | GLM-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1139 |
Long Context GLM-4.5 leads
GLM-4.5: 38.2 (#201), Yi-1.5-34B: 34.6 (#248)
| Benchmark | GLM-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1412 | 1143 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Yi-1.5-34B: 37.4 (#257)
| Benchmark | GLM-4.5 | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1430 | 1173 |
| LMArena Creative Writing | 1395 | 1135 |
| LMArena Multi-Turn | 1415 | 1153 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Yi-1.5-34B?
GLM-4.5 is the stronger model overall, scoring 42.0 to 30.6 on the Noometry Index.
Is GLM-4.5 or Yi-1.5-34B better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 32.4 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Yi-1.5-34B share?
17 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Yi-1.5-34B has 21.