Noometry

Model comparison

GLM-5.3-Flash vs Nova Premier 1.0

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 38.3 on the Noometry Index.

Last verified . 0 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Nova Premier 1.0 Amazon

38.3

Rank #189 Confirmed

Summary

  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 23.0.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashNova Premier 1.0
ProviderZ.ai (Zhipu)Amazon
Noometry Index51.838.3
Released2026-08-202025-04-30
WeightsOpenProprietary
Context window1M1M
Max output131K10K
Input $ / M tokens$0.15$2.50
Output $ / M tokens$0.50$12.50
Results tracked406

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

GLM-5.3-Flash: 53.1 (#31), Nova Premier 1.0: —

BenchmarkGLM-5.3-FlashNova Premier 1.0
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
LMArena Coding1508—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Nova Premier 1.0: —

BenchmarkGLM-5.3-FlashNova Premier 1.0
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Nova Premier 1.0: 23.0 (#185)

BenchmarkGLM-5.3-FlashNova Premier 1.0
ARC-AGI-265.8%—
Kagi LLM Benchmark—44.8%
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
LMArena Hard Prompts1491—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.88—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Nova Premier 1.0: 33.8 (#199)

BenchmarkGLM-5.3-FlashNova Premier 1.0
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
Omni-MATH—35%
LMArena Math1500—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Nova Premier 1.0: 35.8 (#180)

BenchmarkGLM-5.3-FlashNova Premier 1.0
GPQA Diamond90.2%—
MMLU-Pro—72.6%
GPQA (HELM)—51.8%
LMArena Expert1513—

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Nova Premier 1.0: —

BenchmarkGLM-5.3-FlashNova Premier 1.0
LMArena Vision1296—

Multilingual Not comparable

GLM-5.3-Flash: 56.0 (#25), Nova Premier 1.0: —

BenchmarkGLM-5.3-FlashNova Premier 1.0
LMArena Non-English1462—
LMArena Chinese1527—
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—
LMArena Russian1469—
LMArena Spanish1471—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Nova Premier 1.0: 66.8 (#204)

BenchmarkGLM-5.3-FlashNova Premier 1.0
IFEval—80.3%
LMArena Instruction Following1478—

Long Context Not comparable

GLM-5.3-Flash: 45.4 (#39), Nova Premier 1.0: —

BenchmarkGLM-5.3-FlashNova Premier 1.0
LMArena Longer Query1482—

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Nova Premier 1.0: 51.0 (#178)

BenchmarkGLM-5.3-FlashNova Premier 1.0
LMArena Text1471—
LMArena Creative Writing1442—
WildBench—78.8%
LMArena Multi-Turn1467—

Frequently asked questions

Is GLM-5.3-Flash better than Nova Premier 1.0?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 38.3 on the Noometry Index.

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

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 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-Flash and Nova Premier 1.0 share?

0 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Nova Premier 1.0 has 6.

Related comparisons

Go deeper