Model comparison

GLM-5.3 vs Nova Premier 1.0

GLM-5.3 is the stronger model overall, scoring 54.8 to 38.3 on the Noometry Index.

Last verified . 0 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Nova Premier 1.0 Amazon

38.3

Rank #189 Confirmed

Summary

  • The widest gap is in math, where GLM-5.3 leads 62.3 to 33.8.
  • GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3 and Nova Premier 1.0 specifications
GLM-5.3Nova Premier 1.0
ProviderZ.ai (Zhipu)Amazon
Noometry Index54.838.3
Released2026-08-142025-04-30
WeightsOpenProprietary
Context window1M1M
Max output131K10K
Input $ / M tokens$1.40$2.50
Output $ / M tokens$4.40$12.50
Results tracked426

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Category by category

Coding Not comparable

GLM-5.3: 59.5 (#14), Nova Premier 1.0: —

Coding benchmarks
BenchmarkGLM-5.3Nova Premier 1.0
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
LMArena WebDev1622—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
LMArena Coding1496—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.4 (#38), Nova Premier 1.0: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Nova Premier 1.0
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning GLM-5.3 leads

GLM-5.3: 46.1 (#46), Nova Premier 1.0: 23.0 (#185)

Reasoning benchmarks
BenchmarkGLM-5.3Nova Premier 1.0
Kagi LLM Benchmark—44.8%
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
LMArena Hard Prompts1489—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.61—

Math GLM-5.3 leads

GLM-5.3: 62.3 (#33), Nova Premier 1.0: 33.8 (#199)

Math benchmarks
BenchmarkGLM-5.3Nova Premier 1.0
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—
Omni-MATH—35%
LMArena Math1489—

Knowledge GLM-5.3 leads

GLM-5.3: 58.3 (#37), Nova Premier 1.0: 35.8 (#180)

Knowledge benchmarks
BenchmarkGLM-5.3Nova Premier 1.0
GPQA Diamond90.9%—
SimpleQA Verified41%—
MMLU-Pro—72.6%
GPQA (HELM)—51.8%
LMArena Expert1516—

Multilingual Not comparable

GLM-5.3: 55.7 (#28), Nova Premier 1.0: —

Multilingual benchmarks
BenchmarkGLM-5.3Nova Premier 1.0
LMArena Non-English1457—
LMArena Chinese1528—
LMArena French1499—
LMArena German1499—
LMArena Japanese1453—
LMArena Korean1472—
LMArena Russian1463—
LMArena Spanish1460—

Instruction Following GLM-5.3 leads

GLM-5.3: 77.5 (#23), Nova Premier 1.0: 66.8 (#204)

Instruction Following benchmarks
BenchmarkGLM-5.3Nova Premier 1.0
IFEval—80.3%
LMArena Instruction Following1477—

Long Context Not comparable

GLM-5.3: 45.4 (#41), Nova Premier 1.0: —

Long Context benchmarks
BenchmarkGLM-5.3Nova Premier 1.0
LMArena Longer Query1482—

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.7 (#6), Nova Premier 1.0: 51.0 (#178)

Writing & Preference benchmarks
BenchmarkGLM-5.3Nova Premier 1.0
LMArena Text1471—
LMArena Creative Writing1457—
EQ-Bench Creative Writing2075—
WildBench—78.8%
LMArena Multi-Turn1472—

Frequently asked questions

Is GLM-5.3 better than Nova Premier 1.0?

GLM-5.3 is the stronger model overall, scoring 54.8 to 38.3 on the Noometry Index.

Which is cheaper, GLM-5.3 or Nova Premier 1.0?

GLM-5.3 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.

Which has the bigger context window?

Both accept 1M tokens.

How many benchmarks do GLM-5.3 and Nova Premier 1.0 share?

0 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Nova Premier 1.0 has 6.

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