# GLM-4.5 vs Sonar

> GLM-4.5 is the stronger model overall, scoring 42.0 to 38.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-sonar
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 21.1.
- Both cost about the same: $0.60 input and $2.20 output per million tokens.
- GLM-4.5 accepts more context: 131K tokens versus 128K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5 | Sonar |
|---|---|---|
| Provider | Z.ai (Zhipu) | Perplexity |
| Noometry Index | 42.0 | 38.5 |
| Rank | 122 | 187 |
| Context | 131K | 128K |
| Input $/M | $0.60 | $1 |
| Output $/M | $2.20 | $1 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5: 41.4 (#125)
- Sonar: 35.7 (#221)

| Benchmark | GLM-4.5 | Sonar |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 28.6 (#100)
- Sonar: 21.1 (#227)

| Benchmark | GLM-4.5 | Sonar |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1429 | — |
| LiveBench Data Analysis | — | 37.9% |
| LiveBench | — | 46.9% |

## Math

- GLM-4.5: 39.0 (#116)
- Sonar: 33.7 (#200)

| Benchmark | GLM-4.5 | Sonar |
|---|---|---|
| LiveBench Math | — | 41.6% |
| LMArena Math | 1427 | — |

## Knowledge

- GLM-4.5: 35.9 (#179)
- Sonar: —

| Benchmark | GLM-4.5 | Sonar |
|---|---|---|
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |

## Multilingual

- GLM-4.5: 52.8 (#77)
- Sonar: —

| Benchmark | GLM-4.5 | Sonar |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- Sonar: 71.4 (#150)

| Benchmark | GLM-4.5 | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| LMArena Instruction Following | 1404 | — |

## Long Context

- GLM-4.5: 38.2 (#201)
- Sonar: —

| Benchmark | GLM-4.5 | Sonar |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1412 | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- Sonar: 52.6 (#167)

| Benchmark | GLM-4.5 | Sonar |
|---|---|---|
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| LMArena Multi-Turn | 1415 | — |
| LiveBench Language | — | 44.1% |

## FAQ

### Is GLM-4.5 better than Sonar?

GLM-4.5 is the stronger model overall, scoring 42.0 to 38.5 on the Noometry Index.

### Which is cheaper, GLM-4.5 or Sonar?

Sonar is cheaper. It lists at $1 per million input tokens and $1 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is GLM-4.5 or Sonar better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 35.7 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.5 does, with 131K tokens against 128K.

### How many benchmarks do GLM-4.5 and Sonar share?

0 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Sonar has 7.