Model comparison
GLM-4.5V vs Step 2 16k Exp 202412
GLM-4.5V and Step 2 16k Exp 202412 score almost the same on the Noometry Index (39.2 vs 38.6), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
StepFunSummary
- They share 12 benchmarks with published results for both. GLM-4.5V scores higher in 7 categories and Step 2 16k Exp 202412 in 1 category; 4 gaps are clear of the uncertainty.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 39.2 | 38.6 |
| Released | 2025-08-11 | — |
| Weights | Open | Proprietary |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
GLM-4.5V: 38.9 (#152), Step 2 16k Exp 202412: 37.9 (#170)
| Benchmark | GLM-4.5V | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Coding | 1347 | 1316 |
Reasoning GLM-4.5V leads
GLM-4.5V: 26.5 (#118), Step 2 16k Exp 202412: 24.8 (#140)
| Benchmark | GLM-4.5V | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Hard Prompts | 1335 | 1299 |
| Kagi LLM Benchmark | 59.8% | — |
Math GLM-4.5V leads
GLM-4.5V: 34.7 (#157), Step 2 16k Exp 202412: 33.6 (#171)
| Benchmark | GLM-4.5V | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Math | 1353 | 1305 |
Knowledge GLM-4.5V leads
GLM-4.5V: 36.8 (#155), Step 2 16k Exp 202412: 34.6 (#187)
| Benchmark | GLM-4.5V | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Expert | 1353 | 1279 |
Multimodal Not comparable
GLM-4.5V: 33.6 (#86), Step 2 16k Exp 202412: —
| Benchmark | GLM-4.5V | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Too close to call
GLM-4.5V: 44.9 (#172), Step 2 16k Exp 202412: 43.9 (#176)
| Benchmark | GLM-4.5V | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | 1304 | 1290 |
| LMArena Chinese | 1338 | 1331 |
| LMArena Russian | 1299 | 1324 |
| LMArena Spanish | 1335 | — |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.4 (#170), Step 2 16k Exp 202412: 68.1 (#187)
| Benchmark | GLM-4.5V | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Instruction Following | 1311 | 1287 |
Long Context Too close to call
GLM-4.5V: 39.6 (#166), Step 2 16k Exp 202412: 39.7 (#165)
| Benchmark | GLM-4.5V | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Longer Query | 1305 | 1307 |
Writing & Preference Too close to call
GLM-4.5V: 52.7 (#162), Step 2 16k Exp 202412: 52.5 (#168)
| Benchmark | GLM-4.5V | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | 1333 | 1321 |
| LMArena Creative Writing | 1295 | 1328 |
| LMArena Multi-Turn | 1333 | 1292 |
Frequently asked questions
Is GLM-4.5V better than Step 2 16k Exp 202412?
GLM-4.5V and Step 2 16k Exp 202412 score almost the same on the Noometry Index (39.2 vs 38.6), so choose on price, context window or the category you care about most.
Is GLM-4.5V or Step 2 16k Exp 202412 better for coding?
They score almost the same on coding (38.9 vs 37.9); test both on your own repository before choosing.
How many benchmarks do GLM-4.5V and Step 2 16k Exp 202412 share?
12 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Step 2 16k Exp 202412 has 12.