Model comparison
GLM-5V-Turbo vs Yi-1.5-34B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 30.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GLM-5V-Turbo 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-5V-Turbo leads 40.6 to 14.8.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Yi-1.5-34B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 43.8 | 30.6 |
| Released | 2026-04-01 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 21 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Yi-1.5-34B: 32.4 (#272)
| Benchmark | GLM-5V-Turbo | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1466 | 1169 |
| LMArena WebDev | 1401 | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Yi-1.5-34B: 22.5 (#191)
| Benchmark | GLM-5V-Turbo | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1160 |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Yi-1.5-34B: 27.5 (#249)
| Benchmark | GLM-5V-Turbo | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1441 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Yi-1.5-34B: 14.8 (#295)
| Benchmark | GLM-5V-Turbo | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1452 | 1144 |
| GPQA Diamond | — | 32% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Yi-1.5-34B: —
| Benchmark | GLM-5V-Turbo | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Yi-1.5-34B: 32.3 (#256)
| Benchmark | GLM-5V-Turbo | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1420 | 1121 |
| LMArena Chinese | 1488 | 1213 |
| LMArena French | 1444 | 1156 |
| LMArena German | 1423 | 1111 |
| LMArena Korean | 1396 | 1005 |
| LMArena Russian | 1431 | 1091 |
| LMArena Spanish | 1450 | 1121 |
| LMArena Japanese | — | 1021 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Yi-1.5-34B: 59.2 (#257)
| Benchmark | GLM-5V-Turbo | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1423 | 1139 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Yi-1.5-34B: 34.6 (#248)
| Benchmark | GLM-5V-Turbo | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1438 | 1143 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Yi-1.5-34B: 37.4 (#257)
| Benchmark | GLM-5V-Turbo | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1437 | 1173 |
| LMArena Creative Writing | 1416 | 1135 |
| LMArena Multi-Turn | 1432 | 1153 |
Frequently asked questions
Is GLM-5V-Turbo better than Yi-1.5-34B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 30.6 on the Noometry Index.
Is GLM-5V-Turbo or Yi-1.5-34B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 32.4 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Yi-1.5-34B share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Yi-1.5-34B has 21.