Model comparison
Amazon Nova Experimental Chat 26 01 10 vs GLM-5
GLM-5 is the stronger model overall, scoring 45.9 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 1 category and GLM-5 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5 leads 52.2 to 39.7.
- GLM-5 has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 26 01 10 | GLM-5 | |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 42.2 | 45.9 |
| Released | — | 2026-02-11 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $1 |
| Output $ / M tokens | — | $3.20 |
| Results tracked | 13 | 45 |
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Category by category
Coding GLM-5 leads
Amazon Nova Experimental Chat 26 01 10: 42.1 (#97), GLM-5: 49.0 (#47)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5 |
|---|---|---|
| LMArena Coding | 1447 | 1461 |
| SWE-bench Verified | — | 72.1% |
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1434 |
| SWE-bench Multilingual | — | 69.7% |
| WeirdML | — | 48.2% |
| ALE-Bench | — | 765.62 |
Agentic & Tool Use Not comparable
Amazon Nova Experimental Chat 26 01 10: —, GLM-5: 30.9 (#65)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5 |
|---|---|---|
| Terminal-Bench | — | 52.4% |
| τ²-bench Airline | — | 82.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 73.7% |
| τ²-bench Telecom | — | 86.8% |
| Vending-Bench 2 | — | 4,432 |
Reasoning Too close to call
Amazon Nova Experimental Chat 26 01 10: 27.8 (#97), GLM-5: 27.6 (#100)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5 |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1451 |
| ARC-AGI-2 | — | 4.9% |
| SimpleBench | — | 53.2% |
| Kagi LLM Benchmark | — | 75% |
| NYT Connections (extended) | — | 74.8% |
| ARC-AGI-1 | — | 44.7% |
| Chess Puzzles | — | 10% |
| Epoch Capabilities Index | — | 145.84 |
| ForecastBench | — | 61 |
Math GLM-5 leads
Amazon Nova Experimental Chat 26 01 10: 35.8 (#136), GLM-5: 44.8 (#66)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5 |
|---|---|---|
| LMArena Math | 1404 | 1440 |
| MathArena Final-Answer Competitions | — | 65.7% |
| OTIS Mock AIME 2024-2025 | — | 80% |
| FrontierMath (Feb 2025 set) | — | 16.4% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GLM-5 leads
Amazon Nova Experimental Chat 26 01 10: 39.7 (#115), GLM-5: 52.2 (#59)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5 |
|---|---|---|
| LMArena Expert | 1445 | 1454 |
| GPQA Diamond | — | 87.8% |
| Vectara Hallucination Rate | — | 10.1% |
Multilingual GLM-5 leads
Amazon Nova Experimental Chat 26 01 10: 50.4 (#121), GLM-5: 53.9 (#57)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5 |
|---|---|---|
| LMArena Non-English | 1381 | 1430 |
| LMArena Chinese | 1373 | 1511 |
| LMArena Russian | 1393 | 1436 |
| LMArena Spanish | 1390 | 1452 |
| LMArena French | — | 1455 |
| LMArena German | — | 1445 |
| LMArena Japanese | — | 1416 |
| LMArena Korean | — | 1421 |
Instruction Following GLM-5 leads
Amazon Nova Experimental Chat 26 01 10: 73.1 (#121), GLM-5: 75.4 (#64)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5 |
|---|---|---|
| LMArena Instruction Following | 1381 | 1427 |
Long Context GLM-5 leads
Amazon Nova Experimental Chat 26 01 10: 42.7 (#114), GLM-5: 44.6 (#58)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5 |
|---|---|---|
| LMArena Longer Query | 1401 | 1446 |
| CL-bench | — | 18.7% |
Writing & Preference GLM-5 leads
Amazon Nova Experimental Chat 26 01 10: 57.6 (#123), GLM-5: 66.2 (#38)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | GLM-5 |
|---|---|---|
| LMArena Text | 1396 | 1446 |
| LMArena Creative Writing | 1331 | 1438 |
| LMArena Multi-Turn | 1380 | 1456 |
| EQ-Bench Creative Writing | — | 1601 |
Frequently asked questions
Is Amazon Nova Experimental Chat 26 01 10 better than GLM-5?
GLM-5 is the stronger model overall, scoring 45.9 to 42.2 on the Noometry Index.
Is Amazon Nova Experimental Chat 26 01 10 or GLM-5 better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 42.1 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 26 01 10 and GLM-5 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 has 45.