Model comparison
GLM-4.7-Flash vs Yi-34B
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 27.8 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Yi-34B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7-Flash leads 35.5 to 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 60.5% for GLM-4.7-Flash and 14.7% for Yi-34B.
Side by side
| GLM-4.7-Flash | Yi-34B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 38.8 | 27.8 |
| Released | 2026-01-19 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 23 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), Yi-34B: 32.3 (#274)
| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Coding | 1383 | 1112 |
Reasoning Too close to call
GLM-4.7-Flash: 20.9 (#229), Yi-34B: 21.2 (#226)
| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1104 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 36.1 (#173), Yi-34B: 21.6 (#282)
| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Math | 1355 | 1114 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), Yi-34B: 7.5 (#309)
| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| GPQA Diamond | 60.5% | 14.7% |
| LMArena Expert | 1357 | 1061 |
| Vectara Hallucination Rate | 9.3% | — |
| MMLU | — | 76.3% |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.5 (#158), Yi-34B: 29.7 (#264)
| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Non-English | 1330 | 1079 |
| LMArena Chinese | 1403 | 1176 |
| LMArena French | 1332 | 1081 |
| LMArena German | 1337 | 1042 |
| LMArena Korean | 1283 | 959 |
| LMArena Russian | 1332 | 1050 |
| LMArena Spanish | 1350 | 1070 |
| LMArena Japanese | — | 993 |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.1 (#167), Yi-34B: 56.2 (#274)
| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1327 | 1091 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#148), Yi-34B: 33.2 (#264)
| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1345 | 1094 |
Writing & Preference GLM-4.7-Flash leads
GLM-4.7-Flash: 47.4 (#210), Yi-34B: 34.1 (#273)
| Benchmark | GLM-4.7-Flash | Yi-34B |
|---|---|---|
| LMArena Text | 1351 | 1129 |
| LMArena Creative Writing | 1297 | 1108 |
| LMArena Multi-Turn | 1342 | 1113 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Yi-34B?
GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 27.8 on the Noometry Index.
Is GLM-4.7-Flash or Yi-34B better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 32.3 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Yi-34B share?
17 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Yi-34B has 23.