Model comparison

Amazon Nova Experimental Chat 10 20 vs GLM-4.7

Amazon Nova Experimental Chat 10 20 and GLM-4.7 score almost the same on the Noometry Index (41.5 vs 41.7), so choose on price, context window or the category you care about most.

Last verified . 17 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

41.7

Rank #117 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Amazon Nova Experimental Chat 10 20 scores higher in 1 category and GLM-4.7 in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 37.8.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

Amazon Nova Experimental Chat 10 20 and GLM-4.7 specifications
Amazon Nova Experimental Chat 10 20GLM-4.7
ProviderAmazonZ.ai (Zhipu)
Noometry Index41.541.7
Released—2025-12-22
WeightsProprietaryOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.60
Output $ / M tokens—$2.20
Results tracked1736

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Category by category

Coding GLM-4.7 leads

Amazon Nova Experimental Chat 10 20: 41.0 (#123), GLM-4.7: 43.6 (#74)

Coding benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.7
LMArena Coding14131454
LMArena WebDev—1435
SciCode—45.1%
ALE-Bench—399.48

Agentic & Tool Use Not comparable

Amazon Nova Experimental Chat 10 20: —, GLM-4.7: 26.4 (#96)

Agentic & Tool Use benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.7
Terminal-Bench—33.4%
Vending-Bench 2—2,377

Reasoning Amazon Nova Experimental Chat 10 20 leads

Amazon Nova Experimental Chat 10 20: 27.3 (#110), GLM-4.7: 23.7 (#161)

Reasoning benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.7
LMArena Hard Prompts13961443
SimpleBench—47.7%
CritPt—1.7%
Chess Puzzles—6%
Epoch Capabilities Index—143.53

Math GLM-4.7 leads

Amazon Nova Experimental Chat 10 20: 36.2 (#121), GLM-4.7: 37.7 (#92)

Math benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.7
LMArena Math14251423
OTIS Mock AIME 2024-2025—83.3%
ProofBench—6%
FrontierMath (Feb 2025 set)—2.4%
FrontierMath Tier 4 (v1)—0%

Knowledge GLM-4.7 leads

Amazon Nova Experimental Chat 10 20: 37.8 (#142), GLM-4.7: 47.0 (#74)

Knowledge benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.7
LMArena Expert13851424
GPQA Diamond—83.3%
SimpleQA Verified—32.2%
Vectara Hallucination Rate—11.7%

Multilingual GLM-4.7 leads

Amazon Nova Experimental Chat 10 20: 49.7 (#127), GLM-4.7: 53.0 (#75)

Multilingual benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.7
LMArena Non-English13721417
LMArena Chinese14051495
LMArena French14261432
LMArena German13911426
LMArena Japanese13551439
LMArena Korean13271401
LMArena Russian13711423
LMArena Spanish13811433

Instruction Following GLM-4.7 leads

Amazon Nova Experimental Chat 10 20: 72.3 (#136), GLM-4.7: 74.6 (#90)

Instruction Following benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.7
LMArena Instruction Following13651411

Long Context GLM-4.7 leads

Amazon Nova Experimental Chat 10 20: 41.7 (#128), GLM-4.7: 42.8 (#111)

Long Context benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.7
LMArena Longer Query13701432
CL-bench—15.9%
CL-bench Life—10.9%

Writing & Preference GLM-4.7 leads

Amazon Nova Experimental Chat 10 20: 56.9 (#131), GLM-4.7: 61.1 (#89)

Writing & Preference benchmarks
BenchmarkAmazon Nova Experimental Chat 10 20GLM-4.7
LMArena Text13941436
LMArena Creative Writing13181401
LMArena Multi-Turn13641446
EQ-Bench Creative Writing—1413

Frequently asked questions

Is Amazon Nova Experimental Chat 10 20 better than GLM-4.7?

Amazon Nova Experimental Chat 10 20 and GLM-4.7 score almost the same on the Noometry Index (41.5 vs 41.7), so choose on price, context window or the category you care about most.

Is Amazon Nova Experimental Chat 10 20 or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 41.0 in the Noometry coding category.

How many benchmarks do Amazon Nova Experimental Chat 10 20 and GLM-4.7 share?

17 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 20 has 17 scored results on Noometry and GLM-4.7 has 36.

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