Model comparison
GLM-5.3-Flash vs Yi-Large
GLM-5.3-Flash has enough public results to be ranked (#45); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GLM-5.3-Flash leads 53.7 to 36.1.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-5.3-Flash | Yi-Large | |
|---|---|---|
| Provider | Z.ai (Zhipu) | 01.AI |
| Noometry Index | 49.6 | 37.6 |
| Released | 2026-08-20 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 36 | 3 |
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Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.7 (#26), Yi-Large: 36.1 (#201)
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| LMArena WebDev | 1614 | — |
| SciCode | 51.6% | — |
| BigCodeBench Instruct | — | 37.7% |
| LMArena Coding | 1506 | — |
| BigCodeBench Complete | — | 47.2% |
| ALE-Bench | 303.55 | — |
Agentic & Tool Use Not comparable
GLM-5.3-Flash: 34.3 (#41), Yi-Large: —
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |
Reasoning Not comparable
GLM-5.3-Flash: 31.7 (#69), Yi-Large: —
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| LMArena Hard Prompts | 1490 | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 151.9 | — |
Math Not comparable
GLM-5.3-Flash: 53.1 (#38), Yi-Large: —
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| ProofBench | 21% | — |
| LMArena Math | 1499 | — |
Knowledge Not comparable
GLM-5.3-Flash: 58.4 (#33), Yi-Large: —
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| GPQA Diamond | 90.2% | — |
| LMArena Expert | 1512 | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
GLM-5.3-Flash: 42.6 (#25), Yi-Large: —
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| LMArena Vision | 1304 | — |
Multilingual Not comparable
GLM-5.3-Flash: 56.2 (#24), Yi-Large: —
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| LMArena Non-English | 1462 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1495 | — |
| LMArena German | 1457 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1443 | — |
| LMArena Russian | 1472 | — |
| LMArena Spanish | 1471 | — |
Instruction Following Not comparable
GLM-5.3-Flash: 77.8 (#17), Yi-Large: —
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| LMArena Instruction Following | 1480 | — |
Long Context Not comparable
GLM-5.3-Flash: 45.3 (#41), Yi-Large: —
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
GLM-5.3-Flash: 65.4 (#49), Yi-Large: —
| Benchmark | GLM-5.3-Flash | Yi-Large |
|---|---|---|
| LMArena Text | 1471 | — |
| LMArena Creative Writing | 1440 | — |
| LMArena Multi-Turn | 1471 | — |
Frequently asked questions
Is GLM-5.3-Flash better than Yi-Large?
GLM-5.3-Flash has enough public results to be ranked (#45); Yi-Large does not yet, so treat this comparison as directional.
Is GLM-5.3-Flash or Yi-Large better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 36.1 in the Noometry coding category.
How many benchmarks do GLM-5.3-Flash and Yi-Large share?
0 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Yi-Large has 3.