Model comparison
GLM-4.5 vs Yi-34B
GLM-4.5 is the stronger model overall, scoring 42.0 to 27.8 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-4.5 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-4.5 leads 35.9 to 7.5.
Side by side
| GLM-4.5 | Yi-34B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 42.0 | 27.8 |
| Released | 2025-07-27 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 23 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Yi-34B: 32.3 (#274)
| Benchmark | GLM-4.5 | Yi-34B |
|---|---|---|
| LMArena Coding | 1434 | 1112 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Yi-34B: 21.2 (#226)
| Benchmark | GLM-4.5 | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1104 |
| Kagi LLM Benchmark | 57.9% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), Yi-34B: 21.6 (#282)
| Benchmark | GLM-4.5 | Yi-34B |
|---|---|---|
| LMArena Math | 1427 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge GLM-4.5 leads
GLM-4.5: 35.9 (#179), Yi-34B: 7.5 (#309)
| Benchmark | GLM-4.5 | Yi-34B |
|---|---|---|
| LMArena Expert | 1433 | 1061 |
| GPQA Diamond | — | 14.7% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| MMLU | — | 76.3% |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Yi-34B: 29.7 (#264)
| Benchmark | GLM-4.5 | Yi-34B |
|---|---|---|
| LMArena Non-English | 1417 | 1079 |
| LMArena Chinese | 1465 | 1176 |
| LMArena French | 1418 | 1081 |
| LMArena German | 1407 | 1042 |
| LMArena Japanese | 1415 | 993 |
| LMArena Korean | 1380 | 959 |
| LMArena Russian | 1414 | 1050 |
| LMArena Spanish | 1454 | 1070 |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), Yi-34B: 56.2 (#274)
| Benchmark | GLM-4.5 | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1091 |
Long Context GLM-4.5 leads
GLM-4.5: 38.2 (#201), Yi-34B: 33.2 (#264)
| Benchmark | GLM-4.5 | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1412 | 1094 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Yi-34B: 34.1 (#273)
| Benchmark | GLM-4.5 | Yi-34B |
|---|---|---|
| LMArena Text | 1430 | 1129 |
| LMArena Creative Writing | 1395 | 1108 |
| LMArena Multi-Turn | 1415 | 1113 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Yi-34B?
GLM-4.5 is the stronger model overall, scoring 42.0 to 27.8 on the Noometry Index.
Is GLM-4.5 or Yi-34B better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 32.3 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Yi-34B share?
17 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Yi-34B has 23.