Model comparison
GLM-4.5V vs Yi-1.5-34B
GLM-4.5V is the stronger model overall, scoring 39.8 to 30.6 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GLM-4.5V 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-4.5V leads 37.5 to 14.8.
Side by side
| GLM-4.5V | Yi-1.5-34B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 39.8 | 30.6 |
| Released | 2025-08-11 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 21 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Yi-1.5-34B: 32.4 (#272)
| Benchmark | GLM-4.5V | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1347 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Yi-1.5-34B: 22.5 (#191)
| Benchmark | GLM-4.5V | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1160 |
| Kagi LLM Benchmark | 59.8% | — |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Yi-1.5-34B: 27.5 (#249)
| Benchmark | GLM-4.5V | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1354 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Yi-1.5-34B: 14.8 (#295)
| Benchmark | GLM-4.5V | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1353 | 1144 |
| GPQA Diamond | — | 32% |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Yi-1.5-34B: —
| Benchmark | GLM-4.5V | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.6 (#177), Yi-1.5-34B: 32.3 (#256)
| Benchmark | GLM-4.5V | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1303 | 1121 |
| LMArena Chinese | 1337 | 1213 |
| LMArena Russian | 1298 | 1091 |
| LMArena Spanish | 1336 | 1121 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.2 (#175), Yi-1.5-34B: 59.2 (#257)
| Benchmark | GLM-4.5V | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1311 | 1139 |
Long Context GLM-4.5V leads
GLM-4.5V: 39.6 (#171), Yi-1.5-34B: 34.6 (#248)
| Benchmark | GLM-4.5V | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1304 | 1143 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.5 (#170), Yi-1.5-34B: 37.4 (#257)
| Benchmark | GLM-4.5V | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1333 | 1173 |
| LMArena Creative Writing | 1295 | 1135 |
| LMArena Multi-Turn | 1332 | 1153 |
Frequently asked questions
Is GLM-4.5V better than Yi-1.5-34B?
GLM-4.5V is the stronger model overall, scoring 39.8 to 30.6 on the Noometry Index.
Is GLM-4.5V or Yi-1.5-34B better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 32.4 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Yi-1.5-34B share?
13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Yi-1.5-34B has 21.