Model comparison
ERNIE 5.0 0110 vs GLM-4.6
ERNIE 5.0 0110 and GLM-4.6 score almost the same on the Noometry Index (41.8 vs 41.4), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
BaiduSummary
- They share 17 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 5 categories and GLM-4.6 in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6 leads 23.7 to 17.0.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | GLM-4.6 | |
|---|---|---|
| Provider | Baidu | Z.ai (Zhipu) |
| Noometry Index | 41.8 | 41.4 |
| Released | — | 2025-09-30 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 20 | 29 |
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Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.0 (#94), GLM-4.6: 40.1 (#148)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1455 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1340 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, GLM-4.6: 32.3 (#66)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |
Reasoning GLM-4.6 leads
ERNIE 5.0 0110: 17.0 (#297), GLM-4.6: 23.7 (#172)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| NYT Connections (extended) | 10.3% | — |
| CritPt | — | 1.1% |
| Thematic Generalization | 41.7% | — |
Math Too close to call
ERNIE 5.0 0110: 39.3 (#110), GLM-4.6: 39.1 (#111)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Math | 1437 | 1432 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Too close to call
ERNIE 5.0 0110: 39.8 (#128), GLM-4.6: 40.2 (#124)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1428 | 1431 |
| Vectara Hallucination Rate | — | 9.5% |
Multimodal Not comparable
ERNIE 5.0 0110: 39.9 (#53), GLM-4.6: —
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Vision | 1249 | — |
Multilingual Too close to call
ERNIE 5.0 0110: 54.1 (#49), GLM-4.6: 53.5 (#66)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1436 | 1426 |
| LMArena Chinese | 1512 | 1499 |
| LMArena French | 1467 | 1459 |
| LMArena German | 1460 | 1447 |
| LMArena Japanese | 1382 | 1393 |
| LMArena Korean | 1406 | 1400 |
| LMArena Russian | 1446 | 1419 |
| LMArena Spanish | 1473 | 1436 |
Instruction Following Too close to call
ERNIE 5.0 0110: 74.5 (#92), GLM-4.6: 74.3 (#98)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1413 | 1410 |
Long Context Too close to call
ERNIE 5.0 0110: 43.4 (#95), GLM-4.6: 43.4 (#94)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1422 | 1422 |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.1 (#66), GLM-4.6: 61.1 (#90)
| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Text | 1445 | 1440 |
| LMArena Creative Writing | 1426 | 1411 |
| LMArena Multi-Turn | 1434 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |
Frequently asked questions
Is ERNIE 5.0 0110 better than GLM-4.6?
ERNIE 5.0 0110 and GLM-4.6 score almost the same on the Noometry Index (41.8 vs 41.4), so choose on price, context window or the category you care about most.
Is ERNIE 5.0 0110 or GLM-4.6 better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 40.1 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and GLM-4.6 share?
17 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and GLM-4.6 has 29.