Model comparison

Amazon Nova Experimental Chat 10 09 vs GLM-4.7

Amazon Nova Experimental Chat 10 09 and GLM-4.7 score almost the same on the Noometry Index (41.9 vs 42.0), so choose on price, context window or the category you care about most.

Last verified . 9 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Summary

  • They share 9 benchmarks with published results for both. Amazon Nova Experimental Chat 10 09 scores higher in 1 category and GLM-4.7 in 5 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.7 leads 60.9 to 54.7.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

Amazon Nova Experimental Chat 10 09 and GLM-4.7 specifications
Amazon Nova Experimental Chat 10 09GLM-4.7
ProviderAmazonZ.ai (Zhipu)
Noometry Index41.942.0
Released—2025-12-22
WeightsProprietaryOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.60
Output $ / M tokens—$2.20
Results tracked936

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Category by category

Coding GLM-4.7 leads

Amazon Nova Experimental Chat 10 09: 40.2 (#145), GLM-4.7: 44.0 (#79)

Coding benchmarks
BenchmarkAmazon Nova Experimental Chat 10 09GLM-4.7
LMArena Coding13701454
LMArena WebDev—1435
SciCode—45.1%
ALE-Bench—399.48

Agentic & Tool Use Not comparable

Amazon Nova Experimental Chat 10 09: —, GLM-4.7: 26.5 (#103)

Agentic & Tool Use benchmarks
BenchmarkAmazon Nova Experimental Chat 10 09GLM-4.7
Terminal-Bench—33.4%
Vending-Bench 2—2,377

Reasoning Amazon Nova Experimental Chat 10 09 leads

Amazon Nova Experimental Chat 10 09: 27.3 (#120), GLM-4.7: 24.3 (#164)

Reasoning benchmarks
BenchmarkAmazon Nova Experimental Chat 10 09GLM-4.7
LMArena Hard Prompts13561443
SimpleBench—47.7%
CritPt—1.7%
Chess Puzzles—6%
Epoch Capabilities Index—143.51

Math Not comparable

Amazon Nova Experimental Chat 10 09: —, GLM-4.7: 38.6 (#135)

Math benchmarks
BenchmarkAmazon Nova Experimental Chat 10 09GLM-4.7
OTIS Mock AIME 2024-2025—83.3%
ProofBench—6%
LMArena Math—1423
FrontierMath (Feb 2025 set)—2.4%
FrontierMath Tier 4 (v1)—0%

Knowledge Not comparable

Amazon Nova Experimental Chat 10 09: —, GLM-4.7: 47.0 (#80)

Knowledge benchmarks
BenchmarkAmazon Nova Experimental Chat 10 09GLM-4.7
GPQA Diamond—83.3%
SimpleQA Verified—32.2%
Vectara Hallucination Rate—11.7%
LMArena Expert—1424

Multilingual GLM-4.7 leads

Amazon Nova Experimental Chat 10 09: 47.3 (#150), GLM-4.7: 52.8 (#79)

Multilingual benchmarks
BenchmarkAmazon Nova Experimental Chat 10 09GLM-4.7
LMArena Non-English13401417
LMArena Chinese13411495
LMArena French—1432
LMArena German—1424
LMArena Japanese—1439
LMArena Korean—1399
LMArena Russian—1423
LMArena Spanish—1434

Instruction Following GLM-4.7 leads

Amazon Nova Experimental Chat 10 09: 69.4 (#172), GLM-4.7: 74.4 (#95)

Instruction Following benchmarks
BenchmarkAmazon Nova Experimental Chat 10 09GLM-4.7
LMArena Instruction Following13151411

Long Context GLM-4.7 leads

Amazon Nova Experimental Chat 10 09: 40.5 (#152), GLM-4.7: 42.8 (#116)

Long Context benchmarks
BenchmarkAmazon Nova Experimental Chat 10 09GLM-4.7
LMArena Longer Query13331432
CL-bench—15.9%
CL-bench Life—10.9%

Writing & Preference GLM-4.7 leads

Amazon Nova Experimental Chat 10 09: 54.7 (#149), GLM-4.7: 60.9 (#93)

Writing & Preference benchmarks
BenchmarkAmazon Nova Experimental Chat 10 09GLM-4.7
LMArena Text13641435
LMArena Creative Writing13071401
LMArena Multi-Turn13551446
EQ-Bench Creative Writing—1413

Frequently asked questions

Is Amazon Nova Experimental Chat 10 09 better than GLM-4.7?

Amazon Nova Experimental Chat 10 09 and GLM-4.7 score almost the same on the Noometry Index (41.9 vs 42.0), so choose on price, context window or the category you care about most.

Is Amazon Nova Experimental Chat 10 09 or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 40.2 in the Noometry coding category.

How many benchmarks do Amazon Nova Experimental Chat 10 09 and GLM-4.7 share?

9 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 09 has 9 scored results on Noometry and GLM-4.7 has 36.

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