Model comparison
GLM-4.5 vs Step 5 Preview
Step 5 Preview is the stronger model overall, scoring 47.9 to 42.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GLM-4.5 scores higher in 0 categories and Step 5 Preview in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Step 5 Preview leads 40.0 to 28.6.
- GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1 / $2.70 for Step 5 Preview.
- Step 5 Preview accepts more context: 1.02M tokens versus 131K.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | Step 5 Preview | |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 42.0 | 47.9 |
| Released | 2025-07-27 | 2026-09-16 |
| Weights | Open | Proprietary |
| Context window | 131K | 1.02M |
| Max output | 98K | 66K |
| Input $ / M tokens | $0.60 | $1 |
| Output $ / M tokens | $2.20 | $2.70 |
| Results tracked | 27 | 18 |
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Category by category
Coding Step 5 Preview leads
GLM-4.5: 41.4 (#125), Step 5 Preview: 51.8 (#36)
| Benchmark | GLM-4.5 | Step 5 Preview |
|---|---|---|
| LMArena Coding | 1434 | 1480 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1564 |
| SciCode | — | 58.9% |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning Step 5 Preview leads
GLM-4.5: 28.6 (#100), Step 5 Preview: 40.0 (#57)
| Benchmark | GLM-4.5 | Step 5 Preview |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1465 |
| Kagi LLM Benchmark | 57.9% | — |
| CritPt | — | 20.9% |
Math Step 5 Preview leads
GLM-4.5: 39.0 (#116), Step 5 Preview: 46.1 (#72)
| Benchmark | GLM-4.5 | Step 5 Preview |
|---|---|---|
| LMArena Math | 1427 | 1470 |
| ProofBench | — | 42% |
Knowledge Step 5 Preview leads
GLM-4.5: 35.9 (#179), Step 5 Preview: 41.2 (#112)
| Benchmark | GLM-4.5 | Step 5 Preview |
|---|---|---|
| LMArena Expert | 1433 | 1470 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multimodal Not comparable
GLM-4.5: —, Step 5 Preview: 41.0 (#41)
| Benchmark | GLM-4.5 | Step 5 Preview |
|---|---|---|
| LMArena Vision | — | 1267 |
Multilingual Step 5 Preview leads
GLM-4.5: 52.8 (#77), Step 5 Preview: 53.8 (#54)
| Benchmark | GLM-4.5 | Step 5 Preview |
|---|---|---|
| LMArena Non-English | 1417 | 1432 |
| LMArena Chinese | 1465 | 1519 |
| LMArena Russian | 1414 | 1436 |
| LMArena Spanish | 1454 | 1439 |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
Instruction Following Step 5 Preview leads
GLM-4.5: 74.1 (#104), Step 5 Preview: 76.0 (#50)
| Benchmark | GLM-4.5 | Step 5 Preview |
|---|---|---|
| LMArena Instruction Following | 1404 | 1444 |
Long Context Step 5 Preview leads
GLM-4.5: 38.2 (#201), Step 5 Preview: 44.5 (#64)
| Benchmark | GLM-4.5 | Step 5 Preview |
|---|---|---|
| LMArena Longer Query | 1412 | 1455 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference Step 5 Preview leads
GLM-4.5: 57.5 (#127), Step 5 Preview: 62.8 (#71)
| Benchmark | GLM-4.5 | Step 5 Preview |
|---|---|---|
| LMArena Text | 1430 | 1442 |
| LMArena Creative Writing | 1395 | 1410 |
| LMArena Multi-Turn | 1415 | 1447 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Step 5 Preview?
Step 5 Preview is the stronger model overall, scoring 47.9 to 42.0 on the Noometry Index.
Which is cheaper, GLM-4.5 or Step 5 Preview?
GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Step 5 Preview lists at $1 and $2.70.
Is GLM-4.5 or Step 5 Preview better for coding?
Step 5 Preview scores higher on coding benchmarks: 51.8 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
Step 5 Preview does, with 1.02M tokens against 131K.
How many benchmarks do GLM-4.5 and Step 5 Preview share?
13 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Step 5 Preview has 18.