Model comparison
GLM-4.5-Air vs Sonar
GLM-4.5-Air and Sonar score almost the same on the Noometry Index (38.9 vs 38.5), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in writing & preference, where GLM-4.5-Air leads 55.9 to 52.6.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $1 / $1 for Sonar.
- GLM-4.5-Air accepts more context: 131K tokens versus 128K.
- GLM-4.5-Air has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5-Air | Sonar | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Perplexity |
| Noometry Index | 38.9 | 38.5 |
| Released | 2025-07-20 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | 131K | 128K |
| Max output | 98K | 4K |
| Input $ / M tokens | $0.20 | $1 |
| Output $ / M tokens | $1.10 | $1 |
| Results tracked | 27 | 7 |
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Category by category
Coding Sonar leads
GLM-4.5-Air: 33.3 (#259), Sonar: 35.7 (#221)
| Benchmark | GLM-4.5-Air | Sonar |
|---|---|---|
| GSO | 2.9% | — |
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1397 | — |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 24.1 (#166), Sonar: 21.1 (#227)
| Benchmark | GLM-4.5-Air | Sonar |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1379 | — |
| LiveBench Data Analysis | — | 37.9% |
| ForecastBench | 59.2 | — |
| LiveBench | — | 46.9% |
Math GLM-4.5-Air leads
GLM-4.5-Air: 36.2 (#170), Sonar: 33.7 (#200)
| Benchmark | GLM-4.5-Air | Sonar |
|---|---|---|
| Omni-MATH | 39.1% | — |
| LiveBench Math | — | 41.6% |
| LMArena Math | 1396 | — |
Knowledge Not comparable
GLM-4.5-Air: 35.0 (#191), Sonar: —
| Benchmark | GLM-4.5-Air | Sonar |
|---|---|---|
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1370 | — |
Multilingual Not comparable
GLM-4.5-Air: 49.1 (#135), Sonar: —
| Benchmark | GLM-4.5-Air | Sonar |
|---|---|---|
| LMArena Non-English | 1366 | — |
| LMArena Chinese | 1426 | — |
| LMArena French | 1399 | — |
| LMArena German | 1377 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1308 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1386 | — |
Instruction Following Sonar leads
GLM-4.5-Air: 69.6 (#171), Sonar: 71.4 (#150)
| Benchmark | GLM-4.5-Air | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1354 | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#135), Sonar: —
| Benchmark | GLM-4.5-Air | Sonar |
|---|---|---|
| LMArena Longer Query | 1366 | — |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 55.9 (#139), Sonar: 52.6 (#167)
| Benchmark | GLM-4.5-Air | Sonar |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is GLM-4.5-Air better than Sonar?
GLM-4.5-Air and Sonar score almost the same on the Noometry Index (38.9 vs 38.5), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.5-Air or Sonar?
GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Sonar lists at $1 and $1.
Is GLM-4.5-Air or Sonar better for coding?
Sonar scores higher on coding benchmarks: 35.7 versus 33.3 in the Noometry coding category.
Which has the bigger context window?
GLM-4.5-Air does, with 131K tokens against 128K.
How many benchmarks do GLM-4.5-Air and Sonar share?
0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Sonar has 7.