Model comparison
GLM-4.6 vs Step 2 16k Exp 202412
GLM-4.6 is the stronger model overall, scoring 40.9 to 38.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
StepFunSummary
- They share 12 benchmarks with published results for both. GLM-4.6 scores higher in 7 categories and Step 2 16k Exp 202412 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.6 leads 53.6 to 43.9.
- GLM-4.6 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6 | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 40.9 | 38.6 |
| Released | 2025-09-30 | — |
| Weights | Open | Proprietary |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 29 | 12 |
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Category by category
Coding GLM-4.6 leads
GLM-4.6: 39.9 (#137), Step 2 16k Exp 202412: 37.9 (#170)
| Benchmark | GLM-4.6 | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Coding | 1449 | 1316 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1339 | — |
| SciCode | 38.4% | — |
| ALE-Bench | 340.82 | — |
Agentic & Tool Use Not comparable
GLM-4.6: 32.1 (#60), Step 2 16k Exp 202412: —
| Benchmark | GLM-4.6 | Step 2 16k Exp 202412 |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |
Reasoning Step 2 16k Exp 202412 leads
GLM-4.6: 23.1 (#168), Step 2 16k Exp 202412: 24.8 (#140)
| Benchmark | GLM-4.6 | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1299 |
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |
Math GLM-4.6 leads
GLM-4.6: 36.4 (#115), Step 2 16k Exp 202412: 33.6 (#171)
| Benchmark | GLM-4.6 | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Math | 1431 | 1305 |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-4.6 leads
GLM-4.6: 39.6 (#118), Step 2 16k Exp 202412: 34.6 (#187)
| Benchmark | GLM-4.6 | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Expert | 1432 | 1279 |
| Vectara Hallucination Rate | 9.5% | — |
Multilingual GLM-4.6 leads
GLM-4.6: 53.6 (#62), Step 2 16k Exp 202412: 43.9 (#176)
| Benchmark | GLM-4.6 | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | 1426 | 1290 |
| LMArena Chinese | 1500 | 1331 |
| LMArena Russian | 1418 | 1324 |
| LMArena French | 1459 | — |
| LMArena German | 1447 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1401 | — |
| LMArena Spanish | 1436 | — |
Instruction Following GLM-4.6 leads
GLM-4.6: 74.5 (#93), Step 2 16k Exp 202412: 68.1 (#187)
| Benchmark | GLM-4.6 | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Instruction Following | 1410 | 1287 |
Long Context GLM-4.6 leads
GLM-4.6: 43.4 (#91), Step 2 16k Exp 202412: 39.7 (#165)
| Benchmark | GLM-4.6 | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Longer Query | 1423 | 1307 |
Writing & Preference GLM-4.6 leads
GLM-4.6: 61.3 (#86), Step 2 16k Exp 202412: 52.5 (#168)
| Benchmark | GLM-4.6 | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | 1440 | 1321 |
| LMArena Creative Writing | 1411 | 1328 |
| LMArena Multi-Turn | 1427 | 1292 |
| EQ-Bench Creative Writing | 1411 | — |
Frequently asked questions
Is GLM-4.6 better than Step 2 16k Exp 202412?
GLM-4.6 is the stronger model overall, scoring 40.9 to 38.6 on the Noometry Index.
Is GLM-4.6 or Step 2 16k Exp 202412 better for coding?
GLM-4.6 scores higher on coding benchmarks: 39.9 versus 37.9 in the Noometry coding category.
How many benchmarks do GLM-4.6 and Step 2 16k Exp 202412 share?
12 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Step 2 16k Exp 202412 has 12.