Model comparison
GLM-4.7 vs Step 3
GLM-4.7 is the stronger model overall, scoring 41.7 to 39.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
StepFunSummary
- They share 15 benchmarks with published results for both. GLM-4.7 scores higher in 7 categories and Step 3 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 36.2.
Side by side
| GLM-4.7 | Step 3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 41.7 | 39.9 |
| Released | 2025-12-22 | — |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 36 | 17 |
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Category by category
Coding GLM-4.7 leads
GLM-4.7: 43.6 (#74), Step 3: 39.5 (#144)
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| LMArena Coding | 1454 | 1367 |
| LMArena WebDev | 1435 | — |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |
Agentic & Tool Use Not comparable
GLM-4.7: 26.4 (#96), Step 3: —
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |
Reasoning Step 3 leads
GLM-4.7: 23.7 (#161), Step 3: 27.6 (#102)
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1355 |
| SimpleBench | 47.7% | — |
| Kagi LLM Benchmark | — | 62.3% |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.53 | — |
Math GLM-4.7 leads
GLM-4.7: 37.7 (#92), Step 3: 34.9 (#148)
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| LMArena Math | 1423 | 1366 |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GLM-4.7 leads
GLM-4.7: 47.0 (#74), Step 3: 36.2 (#161)
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| LMArena Expert | 1424 | 1333 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |
Multimodal Not comparable
GLM-4.7: —, Step 3: 34.9 (#81)
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| LMArena Vision | — | 1176 |
Multilingual GLM-4.7 leads
GLM-4.7: 53.0 (#75), Step 3: 46.5 (#154)
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| LMArena Non-English | 1417 | 1327 |
| LMArena Chinese | 1495 | 1396 |
| LMArena German | 1426 | 1371 |
| LMArena Korean | 1401 | 1271 |
| LMArena Russian | 1423 | 1331 |
| LMArena Spanish | 1433 | 1372 |
| LMArena French | 1432 | — |
| LMArena Japanese | 1439 | — |
Instruction Following GLM-4.7 leads
GLM-4.7: 74.6 (#90), Step 3: 70.6 (#159)
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| LMArena Instruction Following | 1411 | 1332 |
Long Context GLM-4.7 leads
GLM-4.7: 42.8 (#111), Step 3: 40.3 (#152)
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| LMArena Longer Query | 1432 | 1326 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |
Writing & Preference GLM-4.7 leads
GLM-4.7: 61.1 (#89), Step 3: 54.5 (#146)
| Benchmark | GLM-4.7 | Step 3 |
|---|---|---|
| LMArena Text | 1436 | 1351 |
| LMArena Creative Writing | 1401 | 1322 |
| LMArena Multi-Turn | 1446 | 1340 |
| EQ-Bench Creative Writing | 1413 | — |
Frequently asked questions
Is GLM-4.7 better than Step 3?
GLM-4.7 is the stronger model overall, scoring 41.7 to 39.9 on the Noometry Index.
Is GLM-4.7 or Step 3 better for coding?
GLM-4.7 scores higher on coding benchmarks: 43.6 versus 39.5 in the Noometry coding category.
How many benchmarks do GLM-4.7 and Step 3 share?
15 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Step 3 has 17.