Model comparison
GLM-4.6V vs Step 3.7 Flash
GLM-4.6V is the stronger model overall, scoring 40.9 to 36.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
StepFunSummary
- The widest gap is in reasoning, where GLM-4.6V leads 26.5 to 20.9.
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
- Step 3.7 Flash accepts more context: 256K tokens versus 128K.
Side by side
| GLM-4.6V | Step 3.7 Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 40.9 | 36.5 |
| Released | 2025-12-08 | 2026-05-29 |
| Weights | Open | Open |
| Context window | 128K | 256K |
| Max output | 33K | 256K |
| Input $ / M tokens | $0.30 | $0.18 |
| Output $ / M tokens | $0.90 | $1.11 |
| Results tracked | 12 | 5 |
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Category by category
Coding Too close to call
GLM-4.6V: 40.2 (#128), Step 3.7 Flash: 39.4 (#147)
| Benchmark | GLM-4.6V | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| LMArena Coding | 1390 | — |
| ALE-Bench | — | 694.12 |
Reasoning GLM-4.6V leads
GLM-4.6V: 26.5 (#117), Step 3.7 Flash: 20.9 (#211)
| Benchmark | GLM-4.6V | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| LMArena Hard Prompts | 1368 | — |
Math Not comparable
GLM-4.6V: —, Step 3.7 Flash: 40.9 (#74)
| Benchmark | GLM-4.6V | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
Knowledge Not comparable
GLM-4.6V: 37.4 (#148), Step 3.7 Flash: —
| Benchmark | GLM-4.6V | Step 3.7 Flash |
|---|---|---|
| LMArena Expert | 1372 | — |
Multimodal Not comparable
GLM-4.6V: 34.2 (#83), Step 3.7 Flash: —
| Benchmark | GLM-4.6V | Step 3.7 Flash |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual Not comparable
GLM-4.6V: 48.8 (#135), Step 3.7 Flash: —
| Benchmark | GLM-4.6V | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1426 | — |
| LMArena Russian | 1341 | — |
Instruction Following Not comparable
GLM-4.6V: 71.6 (#145), Step 3.7 Flash: —
| Benchmark | GLM-4.6V | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1351 | — |
Long Context Not comparable
GLM-4.6V: 41.3 (#138), Step 3.7 Flash: —
| Benchmark | GLM-4.6V | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1358 | — |
Writing & Preference Not comparable
GLM-4.6V: 56.8 (#132), Step 3.7 Flash: —
| Benchmark | GLM-4.6V | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1377 | — |
| LMArena Creative Writing | 1347 | — |
| LMArena Multi-Turn | 1359 | — |
Frequently asked questions
Is GLM-4.6V better than Step 3.7 Flash?
GLM-4.6V is the stronger model overall, scoring 40.9 to 36.5 on the Noometry Index.
Which is cheaper, GLM-4.6V or Step 3.7 Flash?
Step 3.7 Flash is cheaper. It lists at $0.18 per million input tokens and $1.11 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.
Is GLM-4.6V or Step 3.7 Flash better for coding?
They score almost the same on coding (40.2 vs 39.4); test both on your own repository before choosing.
Which has the bigger context window?
Step 3.7 Flash does, with 256K tokens against 128K.
How many benchmarks do GLM-4.6V and Step 3.7 Flash share?
0 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Step 3.7 Flash has 5.