Model comparison
GLM-4.5V vs Solar Pro4
Solar Pro4 is the stronger model overall, scoring 42.1 to 39.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and Solar Pro4 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Solar Pro4 leads 48.7 to 44.6.
- Solar Pro4 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Solar Pro4 accepts more context: 524K tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Solar Pro4 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Upstage |
| Noometry Index | 39.8 | 42.1 |
| Released | 2025-08-11 | 2026-08-06 |
| Weights | Open | Proprietary |
| Context window | 64K | 524K |
| Max output | 16K | 131K |
| Input $ / M tokens | $0.60 | $0.30 |
| Output $ / M tokens | $1.80 | $1.20 |
| Results tracked | 15 | 18 |
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Category by category
Coding Too close to call
GLM-4.5V: 39.5 (#155), Solar Pro4: 40.1 (#149)
| Benchmark | GLM-4.5V | Solar Pro4 |
|---|---|---|
| LMArena Coding | 1347 | 1437 |
| LMArena WebDev | — | 1371 |
Reasoning Solar Pro4 leads
GLM-4.5V: 27.4 (#119), Solar Pro4: 28.5 (#104)
| Benchmark | GLM-4.5V | Solar Pro4 |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1399 |
| Kagi LLM Benchmark | 59.8% | — |
Math Solar Pro4 leads
GLM-4.5V: 37.4 (#159), Solar Pro4: 38.8 (#128)
| Benchmark | GLM-4.5V | Solar Pro4 |
|---|---|---|
| LMArena Math | 1354 | 1416 |
Knowledge Solar Pro4 leads
GLM-4.5V: 37.5 (#156), Solar Pro4: 39.8 (#129)
| Benchmark | GLM-4.5V | Solar Pro4 |
|---|---|---|
| LMArena Expert | 1353 | 1427 |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Solar Pro4: —
| Benchmark | GLM-4.5V | Solar Pro4 |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Solar Pro4 leads
GLM-4.5V: 44.6 (#177), Solar Pro4: 48.7 (#139)
| Benchmark | GLM-4.5V | Solar Pro4 |
|---|---|---|
| LMArena Non-English | 1303 | 1361 |
| LMArena Chinese | 1337 | 1415 |
| LMArena Russian | 1298 | 1360 |
| LMArena Spanish | 1336 | 1401 |
| LMArena French | — | 1397 |
| LMArena German | — | 1364 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1382 |
Instruction Following Solar Pro4 leads
GLM-4.5V: 69.2 (#175), Solar Pro4: 72.7 (#132)
| Benchmark | GLM-4.5V | Solar Pro4 |
|---|---|---|
| LMArena Instruction Following | 1311 | 1377 |
Long Context Solar Pro4 leads
GLM-4.5V: 39.6 (#171), Solar Pro4: 42.1 (#130)
| Benchmark | GLM-4.5V | Solar Pro4 |
|---|---|---|
| LMArena Longer Query | 1304 | 1381 |
Writing & Preference Solar Pro4 leads
GLM-4.5V: 52.5 (#170), Solar Pro4: 56.5 (#138)
| Benchmark | GLM-4.5V | Solar Pro4 |
|---|---|---|
| LMArena Text | 1333 | 1386 |
| LMArena Creative Writing | 1295 | 1316 |
| LMArena Multi-Turn | 1332 | 1385 |
Frequently asked questions
Is GLM-4.5V better than Solar Pro4?
Solar Pro4 is the stronger model overall, scoring 42.1 to 39.8 on the Noometry Index.
Which is cheaper, GLM-4.5V or Solar Pro4?
Solar Pro4 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.
Is GLM-4.5V or Solar Pro4 better for coding?
They score almost the same on coding (39.5 vs 40.1); test both on your own repository before choosing.
Which has the bigger context window?
Solar Pro4 does, with 524K tokens against 64K.
How many benchmarks do GLM-4.5V and Solar Pro4 share?
13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Solar Pro4 has 18.