Model comparison
GLM-4.5-Air vs Yi-34B
GLM-4.5-Air is the stronger model overall, scoring 38.9 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-Air scores higher in 8 categories and Yi-34B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5-Air leads 35.0 to 7.5.
Side by side
| GLM-4.5-Air | Yi-34B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 38.9 | 27.8 |
| Released | 2025-07-20 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 23 |
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Category by category
Coding Too close to call
GLM-4.5-Air: 33.3 (#259), Yi-34B: 32.3 (#274)
| Benchmark | GLM-4.5-Air | Yi-34B |
|---|---|---|
| LMArena Coding | 1397 | 1112 |
| GSO | 2.9% | — |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 24.1 (#166), Yi-34B: 21.2 (#226)
| Benchmark | GLM-4.5-Air | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1104 |
| Kagi LLM Benchmark | 43% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
| ForecastBench | 59.2 | — |
Math GLM-4.5-Air leads
GLM-4.5-Air: 36.2 (#170), Yi-34B: 21.6 (#282)
| Benchmark | GLM-4.5-Air | Yi-34B |
|---|---|---|
| LMArena Math | 1396 | 1114 |
| Omni-MATH | 39.1% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge GLM-4.5-Air leads
GLM-4.5-Air: 35.0 (#191), Yi-34B: 7.5 (#309)
| Benchmark | GLM-4.5-Air | Yi-34B |
|---|---|---|
| LMArena Expert | 1370 | 1061 |
| GPQA Diamond | — | 14.7% |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| MMLU | — | 76.3% |
Multilingual GLM-4.5-Air leads
GLM-4.5-Air: 49.1 (#135), Yi-34B: 29.7 (#264)
| Benchmark | GLM-4.5-Air | Yi-34B |
|---|---|---|
| LMArena Non-English | 1366 | 1079 |
| LMArena Chinese | 1426 | 1176 |
| LMArena French | 1399 | 1081 |
| LMArena German | 1377 | 1042 |
| LMArena Japanese | 1348 | 993 |
| LMArena Korean | 1308 | 959 |
| LMArena Russian | 1373 | 1050 |
| LMArena Spanish | 1386 | 1070 |
Instruction Following GLM-4.5-Air leads
GLM-4.5-Air: 69.6 (#171), Yi-34B: 56.2 (#274)
| Benchmark | GLM-4.5-Air | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1354 | 1091 |
| IFEval | 81.2% | — |
Long Context GLM-4.5-Air leads
GLM-4.5-Air: 41.6 (#135), Yi-34B: 33.2 (#264)
| Benchmark | GLM-4.5-Air | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1366 | 1094 |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 55.9 (#139), Yi-34B: 34.1 (#273)
| Benchmark | GLM-4.5-Air | Yi-34B |
|---|---|---|
| LMArena Text | 1384 | 1129 |
| LMArena Creative Writing | 1343 | 1108 |
| LMArena Multi-Turn | 1371 | 1113 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Yi-34B?
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 27.8 on the Noometry Index.
Is GLM-4.5-Air or Yi-34B better for coding?
They score almost the same on coding (33.3 vs 32.3); test both on your own repository before choosing.
How many benchmarks do GLM-4.5-Air and Yi-34B share?
17 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Yi-34B has 23.