Model comparison
Amazon Nova Experimental Chat 26 01 10 vs GLM-5.3-Flash
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 42.2 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Amazon Nova Experimental Chat 26 01 10 scores higher in 0 categories and GLM-5.3-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 39.7.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash | |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 42.2 | 49.6 |
| Released | — | 2026-08-20 |
| Weights | Proprietary | Open |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 13 | 36 |
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Category by category
Coding GLM-5.3-Flash leads
Amazon Nova Experimental Chat 26 01 10: 42.1 (#97), GLM-5.3-Flash: 53.7 (#26)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| LMArena Coding | 1447 | 1506 |
| DeepSWE | — | 63.4% |
| FrontierCode | — | 31.8% |
| LMArena WebDev | — | 1614 |
| SciCode | — | 51.6% |
| ALE-Bench | — | 303.55 |
Agentic & Tool Use Not comparable
Amazon Nova Experimental Chat 26 01 10: —, GLM-5.3-Flash: 34.3 (#41)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| APEX-Agents | — | 52.8% |
| GDP.pdf | — | 14% |
Reasoning GLM-5.3-Flash leads
Amazon Nova Experimental Chat 26 01 10: 27.8 (#97), GLM-5.3-Flash: 31.7 (#69)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1490 |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 14% |
| Mystery Game Puzzles | — | 8% |
| Surface Evolver Bench | — | 52.5% |
| Bench to the Future 3 | — | 0.15 |
| Epoch Capabilities Index | — | 151.9 |
Math GLM-5.3-Flash leads
Amazon Nova Experimental Chat 26 01 10: 35.8 (#136), GLM-5.3-Flash: 53.1 (#38)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| LMArena Math | 1404 | 1499 |
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 93.9% |
| ProofBench | — | 21% |
Knowledge GLM-5.3-Flash leads
Amazon Nova Experimental Chat 26 01 10: 39.7 (#115), GLM-5.3-Flash: 58.4 (#33)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| LMArena Expert | 1445 | 1512 |
| GPQA Diamond | — | 90.2% |
Multimodal Not comparable
Amazon Nova Experimental Chat 26 01 10: —, GLM-5.3-Flash: 42.6 (#25)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| LMArena Vision | — | 1304 |
Multilingual GLM-5.3-Flash leads
Amazon Nova Experimental Chat 26 01 10: 50.4 (#121), GLM-5.3-Flash: 56.2 (#24)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| LMArena Non-English | 1381 | 1462 |
| LMArena Chinese | 1373 | 1529 |
| LMArena Russian | 1393 | 1472 |
| LMArena Spanish | 1390 | 1471 |
| LMArena French | — | 1495 |
| LMArena German | — | 1457 |
| LMArena Japanese | — | 1420 |
| LMArena Korean | — | 1443 |
Instruction Following GLM-5.3-Flash leads
Amazon Nova Experimental Chat 26 01 10: 73.1 (#121), GLM-5.3-Flash: 77.8 (#17)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| LMArena Instruction Following | 1381 | 1480 |
Long Context GLM-5.3-Flash leads
Amazon Nova Experimental Chat 26 01 10: 42.7 (#114), GLM-5.3-Flash: 45.3 (#41)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| LMArena Longer Query | 1401 | 1479 |
Writing & Preference GLM-5.3-Flash leads
Amazon Nova Experimental Chat 26 01 10: 57.6 (#123), GLM-5.3-Flash: 65.4 (#49)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5.3-Flash |
|---|---|---|
| LMArena Text | 1396 | 1471 |
| LMArena Creative Writing | 1331 | 1440 |
| LMArena Multi-Turn | 1380 | 1471 |
Frequently asked questions
Is Amazon Nova Experimental Chat 26 01 10 better than GLM-5.3-Flash?
GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 42.2 on the Noometry Index.
Is Amazon Nova Experimental Chat 26 01 10 or GLM-5.3-Flash better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 42.1 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 26 01 10 and GLM-5.3-Flash share?
13 benchmarks have published results for both models. Amazon Nova Experimental Chat 26 01 10 has 13 scored results on Noometry and GLM-5.3-Flash has 36.