Model comparison
GLM-5V-Turbo vs Yi-34B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 27.8 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-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 7.5.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Yi-34B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 43.8 | 27.8 |
| Released | 2026-04-01 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 23 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Yi-34B: 32.3 (#274)
| Benchmark | GLM-5V-Turbo | Yi-34B |
|---|---|---|
| LMArena Coding | 1466 | 1112 |
| LMArena WebDev | 1401 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Yi-34B: 21.2 (#226)
| Benchmark | GLM-5V-Turbo | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Yi-34B: 21.6 (#282)
| Benchmark | GLM-5V-Turbo | Yi-34B |
|---|---|---|
| LMArena Math | 1441 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Yi-34B: 7.5 (#309)
| Benchmark | GLM-5V-Turbo | Yi-34B |
|---|---|---|
| LMArena Expert | 1452 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Yi-34B: —
| Benchmark | GLM-5V-Turbo | Yi-34B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Yi-34B: 29.7 (#264)
| Benchmark | GLM-5V-Turbo | Yi-34B |
|---|---|---|
| LMArena Non-English | 1420 | 1079 |
| LMArena Chinese | 1488 | 1176 |
| LMArena French | 1444 | 1081 |
| LMArena German | 1423 | 1042 |
| LMArena Korean | 1396 | 959 |
| LMArena Russian | 1431 | 1050 |
| LMArena Spanish | 1450 | 1070 |
| LMArena Japanese | — | 993 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Yi-34B: 56.2 (#274)
| Benchmark | GLM-5V-Turbo | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1423 | 1091 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Yi-34B: 33.2 (#264)
| Benchmark | GLM-5V-Turbo | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1438 | 1094 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Yi-34B: 34.1 (#273)
| Benchmark | GLM-5V-Turbo | Yi-34B |
|---|---|---|
| LMArena Text | 1437 | 1129 |
| LMArena Creative Writing | 1416 | 1108 |
| LMArena Multi-Turn | 1432 | 1113 |
Frequently asked questions
Is GLM-5V-Turbo better than Yi-34B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 27.8 on the Noometry Index.
Is GLM-5V-Turbo or Yi-34B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 32.3 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Yi-34B share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Yi-34B has 23.