Model comparison
GLM-4.5V vs Yi-34B
GLM-4.5V is the stronger model overall, scoring 39.8 to 27.8 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-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 7.5.
Side by side
| GLM-4.5V | Yi-34B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 39.8 | 27.8 |
| Released | 2025-08-11 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 23 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Yi-34B: 32.3 (#274)
| Benchmark | GLM-4.5V | Yi-34B |
|---|---|---|
| LMArena Coding | 1347 | 1112 |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Yi-34B: 21.2 (#226)
| Benchmark | GLM-4.5V | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1104 |
| Kagi LLM Benchmark | 59.8% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Yi-34B: 21.6 (#282)
| Benchmark | GLM-4.5V | Yi-34B |
|---|---|---|
| LMArena Math | 1354 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Yi-34B: 7.5 (#309)
| Benchmark | GLM-4.5V | Yi-34B |
|---|---|---|
| LMArena Expert | 1353 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Yi-34B: —
| Benchmark | GLM-4.5V | Yi-34B |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.6 (#177), Yi-34B: 29.7 (#264)
| Benchmark | GLM-4.5V | Yi-34B |
|---|---|---|
| LMArena Non-English | 1303 | 1079 |
| LMArena Chinese | 1337 | 1176 |
| LMArena Russian | 1298 | 1050 |
| LMArena Spanish | 1336 | 1070 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.2 (#175), Yi-34B: 56.2 (#274)
| Benchmark | GLM-4.5V | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1311 | 1091 |
Long Context GLM-4.5V leads
GLM-4.5V: 39.6 (#171), Yi-34B: 33.2 (#264)
| Benchmark | GLM-4.5V | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1304 | 1094 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.5 (#170), Yi-34B: 34.1 (#273)
| Benchmark | GLM-4.5V | Yi-34B |
|---|---|---|
| LMArena Text | 1333 | 1129 |
| LMArena Creative Writing | 1295 | 1108 |
| LMArena Multi-Turn | 1332 | 1113 |
Frequently asked questions
Is GLM-4.5V better than Yi-34B?
GLM-4.5V is the stronger model overall, scoring 39.8 to 27.8 on the Noometry Index.
Is GLM-4.5V or Yi-34B better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 32.3 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Yi-34B share?
13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Yi-34B has 23.