Model comparison
GLM-4.5V vs Sonar
GLM-4.5V is the stronger model overall, scoring 39.8 to 38.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
PerplexitySummary
- The widest gap is in reasoning, where GLM-4.5V leads 27.4 to 21.1.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1 / $1 for Sonar.
- Sonar accepts more context: 128K tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Sonar | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Perplexity |
| Noometry Index | 39.8 | 38.5 |
| Released | 2025-08-11 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | 64K | 128K |
| Max output | 16K | 4K |
| Input $ / M tokens | $0.60 | $1 |
| Output $ / M tokens | $1.80 | $1 |
| Results tracked | 15 | 7 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Sonar: 35.7 (#221)
| Benchmark | GLM-4.5V | Sonar |
|---|---|---|
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1347 | — |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Sonar: 21.1 (#227)
| Benchmark | GLM-4.5V | Sonar |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1334 | — |
| LiveBench Data Analysis | — | 37.9% |
| LiveBench | — | 46.9% |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Sonar: 33.7 (#200)
| Benchmark | GLM-4.5V | Sonar |
|---|---|---|
| LiveBench Math | — | 41.6% |
| LMArena Math | 1354 | — |
Knowledge Not comparable
GLM-4.5V: 37.5 (#156), Sonar: —
| Benchmark | GLM-4.5V | Sonar |
|---|---|---|
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Sonar: —
| Benchmark | GLM-4.5V | Sonar |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Not comparable
GLM-4.5V: 44.6 (#177), Sonar: —
| Benchmark | GLM-4.5V | Sonar |
|---|---|---|
| LMArena Non-English | 1303 | — |
| LMArena Chinese | 1337 | — |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |
Instruction Following Sonar leads
GLM-4.5V: 69.2 (#175), Sonar: 71.4 (#150)
| Benchmark | GLM-4.5V | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| LMArena Instruction Following | 1311 | — |
Long Context Not comparable
GLM-4.5V: 39.6 (#171), Sonar: —
| Benchmark | GLM-4.5V | Sonar |
|---|---|---|
| LMArena Longer Query | 1304 | — |
Writing & Preference Too close to call
GLM-4.5V: 52.5 (#170), Sonar: 52.6 (#167)
| Benchmark | GLM-4.5V | Sonar |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1332 | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is GLM-4.5V better than Sonar?
GLM-4.5V is the stronger model overall, scoring 39.8 to 38.5 on the Noometry Index.
Which is cheaper, GLM-4.5V or Sonar?
GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Sonar lists at $1 and $1.
Is GLM-4.5V or Sonar better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 35.7 in the Noometry coding category.
Which has the bigger context window?
Sonar does, with 128K tokens against 64K.
How many benchmarks do GLM-4.5V and Sonar share?
0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Sonar has 7.