Model comparison
GLM-4.7-Flash vs Step 2 16k Exp 202412
GLM-4.7-Flash and Step 2 16k Exp 202412 score almost the same on the Noometry Index (38.4 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-4.7-Flash scores higher in 6 categories and Step 2 16k Exp 202412 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Step 2 16k Exp 202412 leads 52.5 to 47.7.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 38.4 | 38.6 |
| Released | 2026-01-19 | — |
| Weights | Open | Proprietary |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 12 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.0 (#133), Step 2 16k Exp 202412: 37.9 (#170)
| Benchmark | GLM-4.7-Flash | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Coding | 1383 | 1316 |
Reasoning Step 2 16k Exp 202412 leads
GLM-4.7-Flash: 20.2 (#224), Step 2 16k Exp 202412: 24.8 (#140)
| Benchmark | GLM-4.7-Flash | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1299 |
| Chess Puzzles | 0% | — |
Math Too close to call
GLM-4.7-Flash: 34.4 (#159), Step 2 16k Exp 202412: 33.6 (#171)
| Benchmark | GLM-4.7-Flash | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Math | 1354 | 1305 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge Too close to call
GLM-4.7-Flash: 35.4 (#177), Step 2 16k Exp 202412: 34.6 (#187)
| Benchmark | GLM-4.7-Flash | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Expert | 1357 | 1279 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual GLM-4.7-Flash leads
GLM-4.7-Flash: 46.8 (#152), Step 2 16k Exp 202412: 43.9 (#176)
| Benchmark | GLM-4.7-Flash | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | 1331 | 1290 |
| LMArena Chinese | 1403 | 1331 |
| LMArena Russian | 1333 | 1324 |
| LMArena French | 1332 | — |
| LMArena German | 1336 | — |
| LMArena Korean | 1284 | — |
| LMArena Spanish | 1351 | — |
Instruction Following GLM-4.7-Flash leads
GLM-4.7-Flash: 70.3 (#162), Step 2 16k Exp 202412: 68.1 (#187)
| Benchmark | GLM-4.7-Flash | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1287 |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#143), Step 2 16k Exp 202412: 39.7 (#165)
| Benchmark | GLM-4.7-Flash | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Longer Query | 1345 | 1307 |
Writing & Preference Step 2 16k Exp 202412 leads
GLM-4.7-Flash: 47.7 (#206), Step 2 16k Exp 202412: 52.5 (#168)
| Benchmark | GLM-4.7-Flash | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | 1351 | 1321 |
| LMArena Creative Writing | 1297 | 1328 |
| LMArena Multi-Turn | 1342 | 1292 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Step 2 16k Exp 202412?
GLM-4.7-Flash and Step 2 16k Exp 202412 score almost the same on the Noometry Index (38.4 vs 38.6), so choose on price, context window or the category you care about most.
Is GLM-4.7-Flash or Step 2 16k Exp 202412 better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 37.9 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Step 2 16k Exp 202412 share?
12 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Step 2 16k Exp 202412 has 12.