Model comparison
GLM-4.6V vs Yi-34B
GLM-4.6V is the stronger model overall, scoring 40.9 to 27.4 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 7 categories and Yi-34B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.6V leads 37.4 to 7.5.
Side by side
| GLM-4.6V | Yi-34B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 40.9 | 27.4 |
| Released | 2025-12-08 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 12 | 23 |
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Category by category
Coding GLM-4.6V leads
GLM-4.6V: 40.2 (#128), Yi-34B: 31.8 (#269)
| Benchmark | GLM-4.6V | Yi-34B |
|---|---|---|
| LMArena Coding | 1390 | 1112 |
Reasoning GLM-4.6V leads
GLM-4.6V: 26.5 (#117), Yi-34B: 20.3 (#222)
| Benchmark | GLM-4.6V | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.28 |
Math Not comparable
GLM-4.6V: —, Yi-34B: 19.8 (#277)
| Benchmark | GLM-4.6V | Yi-34B |
|---|---|---|
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge GLM-4.6V leads
GLM-4.6V: 37.4 (#148), Yi-34B: 7.5 (#304)
| Benchmark | GLM-4.6V | Yi-34B |
|---|---|---|
| LMArena Expert | 1372 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multimodal Not comparable
GLM-4.6V: 34.2 (#83), Yi-34B: —
| Benchmark | GLM-4.6V | Yi-34B |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual GLM-4.6V leads
GLM-4.6V: 48.8 (#135), Yi-34B: 29.9 (#259)
| Benchmark | GLM-4.6V | Yi-34B |
|---|---|---|
| LMArena Non-English | 1359 | 1079 |
| LMArena Chinese | 1426 | 1175 |
| LMArena Russian | 1341 | 1050 |
| LMArena French | — | 1080 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |
Instruction Following GLM-4.6V leads
GLM-4.6V: 71.6 (#145), Yi-34B: 56.4 (#269)
| Benchmark | GLM-4.6V | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1351 | 1091 |
Long Context GLM-4.6V leads
GLM-4.6V: 41.3 (#138), Yi-34B: 33.2 (#259)
| Benchmark | GLM-4.6V | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1358 | 1094 |
Writing & Preference GLM-4.6V leads
GLM-4.6V: 56.8 (#132), Yi-34B: 34.3 (#268)
| Benchmark | GLM-4.6V | Yi-34B |
|---|---|---|
| LMArena Text | 1377 | 1129 |
| LMArena Creative Writing | 1347 | 1108 |
| LMArena Multi-Turn | 1359 | 1113 |
Frequently asked questions
Is GLM-4.6V better than Yi-34B?
GLM-4.6V is the stronger model overall, scoring 40.9 to 27.4 on the Noometry Index.
Is GLM-4.6V or Yi-34B better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.2 versus 31.8 in the Noometry coding category.
How many benchmarks do GLM-4.6V and Yi-34B share?
11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Yi-34B has 23.