Model comparison
Amazon Nova Experimental Chat 10 20 vs GLM-4.5
Amazon Nova Experimental Chat 10 20 and GLM-4.5 score almost the same on the Noometry Index (42.1 vs 42.0), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Amazon Nova Experimental Chat 10 20 scores higher in 3 categories and GLM-4.5 in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where Amazon Nova Experimental Chat 10 20 leads 41.7 to 38.2.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 10 20 | GLM-4.5 | |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 42.1 | 42.0 |
| Released | — | 2025-07-27 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 98K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 17 | 27 |
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Category by category
Coding Too close to call
Amazon Nova Experimental Chat 10 20: 41.6 (#123), GLM-4.5: 41.4 (#125)
| Benchmark | Amazon Nova Experimental Chat 10 20 | GLM-4.5 |
|---|---|---|
| LMArena Coding | 1412 | 1434 |
| SWE-bench Verified (bash only) | — | 54.2% |
| WeirdML | — | 40.6% |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |
Reasoning Too close to call
Amazon Nova Experimental Chat 10 20: 28.4 (#106), GLM-4.5: 28.6 (#100)
| Benchmark | Amazon Nova Experimental Chat 10 20 | GLM-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1396 | 1429 |
| Kagi LLM Benchmark | — | 57.9% |
Math Too close to call
Amazon Nova Experimental Chat 10 20: 39.0 (#119), GLM-4.5: 39.0 (#116)
| Benchmark | Amazon Nova Experimental Chat 10 20 | GLM-4.5 |
|---|---|---|
| LMArena Math | 1425 | 1427 |
Knowledge Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 38.5 (#144), GLM-4.5: 35.9 (#179)
| Benchmark | Amazon Nova Experimental Chat 10 20 | GLM-4.5 |
|---|---|---|
| LMArena Expert | 1386 | 1433 |
| Humanity's Last Exam | — | 8.3% |
| Confabulations | — | 11.3% |
Multilingual GLM-4.5 leads
Amazon Nova Experimental Chat 10 20: 49.5 (#131), GLM-4.5: 52.8 (#77)
| Benchmark | Amazon Nova Experimental Chat 10 20 | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1372 | 1417 |
| LMArena Chinese | 1404 | 1465 |
| LMArena French | 1425 | 1418 |
| LMArena German | 1391 | 1407 |
| LMArena Japanese | 1360 | 1415 |
| LMArena Korean | 1324 | 1380 |
| LMArena Russian | 1371 | 1414 |
| LMArena Spanish | 1382 | 1454 |
Instruction Following GLM-4.5 leads
Amazon Nova Experimental Chat 10 20: 72.1 (#141), GLM-4.5: 74.1 (#104)
| Benchmark | Amazon Nova Experimental Chat 10 20 | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1365 | 1404 |
Long Context Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 41.7 (#133), GLM-4.5: 38.2 (#201)
| Benchmark | Amazon Nova Experimental Chat 10 20 | GLM-4.5 |
|---|---|---|
| LMArena Longer Query | 1370 | 1412 |
| Fiction.LiveBench | — | 58.3% |
Writing & Preference Too close to call
Amazon Nova Experimental Chat 10 20: 56.6 (#136), GLM-4.5: 57.5 (#127)
| Benchmark | Amazon Nova Experimental Chat 10 20 | GLM-4.5 |
|---|---|---|
| LMArena Text | 1394 | 1430 |
| LMArena Creative Writing | 1318 | 1395 |
| LMArena Multi-Turn | 1364 | 1415 |
| Short-Story Creative Writing | — | 73.4% |
| EQ-Bench Creative Writing | — | 1343 |
Frequently asked questions
Is Amazon Nova Experimental Chat 10 20 better than GLM-4.5?
Amazon Nova Experimental Chat 10 20 and GLM-4.5 score almost the same on the Noometry Index (42.1 vs 42.0), so choose on price, context window or the category you care about most.
Is Amazon Nova Experimental Chat 10 20 or GLM-4.5 better for coding?
They score almost the same on coding (41.6 vs 41.4); test both on your own repository before choosing.
How many benchmarks do Amazon Nova Experimental Chat 10 20 and GLM-4.5 share?
17 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 20 has 17 scored results on Noometry and GLM-4.5 has 27.