Model comparison

Amazon Nova Experimental Chat 10 20 vs GLM-4.6

Amazon Nova Experimental Chat 10 20 and GLM-4.6 score almost the same on the Noometry Index (41.5 vs 40.9), so choose on price, context window or the category you care about most.

Last verified . 17 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

40.9

Rank #132 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Amazon Nova Experimental Chat 10 20 scores higher in 2 categories and GLM-4.6 in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.6 leads 61.3 to 56.9.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

Amazon Nova Experimental Chat 10 20 and GLM-4.6 specifications
Amazon Nova Experimental Chat 10 20GLM-4.6
ProviderAmazonZ.ai (Zhipu)
Noometry Index41.540.9
Released—2025-09-30
WeightsProprietaryOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.60
Output $ / M tokens—$2.20
Results tracked1729

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Category by category

Coding Amazon Nova Experimental Chat 10 20 leads

Amazon Nova Experimental Chat 10 20: 41.0 (#123), GLM-4.6: 39.9 (#137)

Coding benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.6
LMArena Coding14131449
SWE-bench Verified (bash only)—55.4%
LMArena WebDev—1339
SciCode—38.4%
ALE-Bench—340.82

Agentic & Tool Use Not comparable

Amazon Nova Experimental Chat 10 20: —, GLM-4.6: 32.1 (#60)

Agentic & Tool Use benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.6
Terminal-Bench—24.5%
Berkeley Function Calling Leaderboard—72.4%

Reasoning Amazon Nova Experimental Chat 10 20 leads

Amazon Nova Experimental Chat 10 20: 27.3 (#110), GLM-4.6: 23.1 (#168)

Reasoning benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.6
LMArena Hard Prompts13961440
Kagi LLM Benchmark—47.4%
CritPt—1.1%

Math Too close to call

Amazon Nova Experimental Chat 10 20: 36.2 (#121), GLM-4.6: 36.4 (#115)

Math benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.6
LMArena Math14251431
FrontierMath (Feb 2025 set)—3.8%
FrontierMath Tier 4 (v1)—2.1%

Knowledge GLM-4.6 leads

Amazon Nova Experimental Chat 10 20: 37.8 (#142), GLM-4.6: 39.6 (#118)

Knowledge benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.6
LMArena Expert13851432
Vectara Hallucination Rate—9.5%

Multilingual GLM-4.6 leads

Amazon Nova Experimental Chat 10 20: 49.7 (#127), GLM-4.6: 53.6 (#62)

Multilingual benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.6
LMArena Non-English13721426
LMArena Chinese14051500
LMArena French14261459
LMArena German13911447
LMArena Japanese13551394
LMArena Korean13271401
LMArena Russian13711418
LMArena Spanish13811436

Instruction Following GLM-4.6 leads

Amazon Nova Experimental Chat 10 20: 72.3 (#136), GLM-4.6: 74.5 (#93)

Instruction Following benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.6
LMArena Instruction Following13651410

Long Context GLM-4.6 leads

Amazon Nova Experimental Chat 10 20: 41.7 (#128), GLM-4.6: 43.4 (#91)

Long Context benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.6
LMArena Longer Query13701423

Writing & Preference GLM-4.6 leads

Amazon Nova Experimental Chat 10 20: 56.9 (#131), GLM-4.6: 61.3 (#86)

Writing & Preference benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.6
LMArena Text13941440
LMArena Creative Writing13181411
LMArena Multi-Turn13641427
EQ-Bench Creative Writing—1411

Frequently asked questions

Is Amazon Nova Experimental Chat 10 20 better than GLM-4.6?

Amazon Nova Experimental Chat 10 20 and GLM-4.6 score almost the same on the Noometry Index (41.5 vs 40.9), so choose on price, context window or the category you care about most.

Is Amazon Nova Experimental Chat 10 20 or GLM-4.6 better for coding?

Amazon Nova Experimental Chat 10 20 scores higher on coding benchmarks: 41.0 versus 39.9 in the Noometry coding category.

How many benchmarks do Amazon Nova Experimental Chat 10 20 and GLM-4.6 share?

17 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 20 has 17 scored results on Noometry and GLM-4.6 has 29.

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