Model comparison

GLM-5.3 vs Sonar

GLM-5.3 is the stronger model overall, scoring 54.8 to 38.5 on the Noometry Index. Sonar costs 2.1× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Sonar Perplexity

38.5

Rank #187 Confirmed

Summary

  • The widest gap is in math, where GLM-5.3 leads 62.3 to 33.7.
  • Sonar is cheaper at $1 / $1 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
  • GLM-5.3 accepts more context: 1M tokens versus 128K.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3 and Sonar specifications
GLM-5.3Sonar
ProviderZ.ai (Zhipu)Perplexity
Noometry Index54.838.5
Released2026-08-142024-01-01
WeightsOpenProprietary
Context window1M128K
Max output131K4K
Input $ / M tokens$1.40$1
Output $ / M tokens$4.40$1
Results tracked427

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.5 (#14), Sonar: 35.7 (#221)

Coding benchmarks
BenchmarkGLM-5.3Sonar
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
LMArena WebDev1622—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
LiveBench Coding—35.1%
LMArena Coding1496—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.4 (#38), Sonar: —

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

Reasoning GLM-5.3 leads

GLM-5.3: 46.1 (#46), Sonar: 21.1 (#227)

Reasoning benchmarks
BenchmarkGLM-5.3Sonar
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
LiveBench Reasoning—46.3%
LMArena Hard Prompts1489—
Mystery Game Puzzles33%—
DTBench87.7%—
LiveBench Data Analysis—37.9%
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.61—
LiveBench—46.9%

Math GLM-5.3 leads

GLM-5.3: 62.3 (#33), Sonar: 33.7 (#200)

Math benchmarks
BenchmarkGLM-5.3Sonar
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—
LiveBench Math—41.6%
LMArena Math1489—

Knowledge Not comparable

GLM-5.3: 58.3 (#37), Sonar: —

Knowledge benchmarks
BenchmarkGLM-5.3Sonar
GPQA Diamond90.9%—
SimpleQA Verified41%—
LMArena Expert1516—

Multilingual Not comparable

GLM-5.3: 55.7 (#28), Sonar: —

Multilingual benchmarks
BenchmarkGLM-5.3Sonar
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), Sonar: 71.4 (#150)

Instruction Following benchmarks
BenchmarkGLM-5.3Sonar
LiveBench Instruction Following—76.2%
LMArena Instruction Following1477—

Long Context Not comparable

GLM-5.3: 45.4 (#41), Sonar: —

Long Context benchmarks
BenchmarkGLM-5.3Sonar
LMArena Longer Query1482—

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.7 (#6), Sonar: 52.6 (#167)

Writing & Preference benchmarks
BenchmarkGLM-5.3Sonar
LMArena Text1471—
LMArena Creative Writing1457—
EQ-Bench Creative Writing2075—
LMArena Multi-Turn1472—
LiveBench Language—44.1%

Frequently asked questions

Is GLM-5.3 better than Sonar?

GLM-5.3 is the stronger model overall, scoring 54.8 to 38.5 on the Noometry Index. Sonar costs 2.1× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

Which is cheaper, GLM-5.3 or Sonar?

Sonar is cheaper. It lists at $1 per million input tokens and $1 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

Is GLM-5.3 or Sonar better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 35.7 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 128K.

How many benchmarks do GLM-5.3 and Sonar share?

0 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Sonar has 7.

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