Model comparison
GLM-4.6V vs Step 3.5 Flash
GLM-4.6V and Step 3.5 Flash score almost the same on the Noometry Index (41.3 vs 42.3), so choose on price, context window or the category you care about most.
Last verified . 11 shared benchmarks.
StepFunSummary
- They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 1 category and Step 3.5 Flash in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6V leads 27.6 to 22.2.
- Step 3.5 Flash is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
- Step 3.5 Flash accepts more context: 256K tokens versus 128K.
Side by side
| GLM-4.6V | Step 3.5 Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 41.3 | 42.3 |
| Released | 2025-12-08 | 2026-01-29 |
| Weights | Open | Open |
| Context window | 128K | 256K |
| Max output | 33K | 256K |
| Input $ / M tokens | $0.30 | $0.10 |
| Output $ / M tokens | $0.90 | $0.30 |
| Results tracked | 12 | 19 |
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Category by category
Coding Step 3.5 Flash leads
GLM-4.6V: 40.9 (#128), Step 3.5 Flash: 42.4 (#105)
| Benchmark | GLM-4.6V | Step 3.5 Flash |
|---|---|---|
| LMArena Coding | 1390 | 1436 |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Step 3.5 Flash: 22.2 (#202)
| Benchmark | GLM-4.6V | Step 3.5 Flash |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1411 |
| NYT Connections (extended) | — | 28.4% |
Math Not comparable
GLM-4.6V: —, Step 3.5 Flash: 42.6 (#84)
| Benchmark | GLM-4.6V | Step 3.5 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 66.8% |
| LMArena Math | — | 1408 |
Knowledge Step 3.5 Flash leads
GLM-4.6V: 38.0 (#149), Step 3.5 Flash: 39.6 (#132)
| Benchmark | GLM-4.6V | Step 3.5 Flash |
|---|---|---|
| LMArena Expert | 1371 | 1421 |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), Step 3.5 Flash: —
| Benchmark | GLM-4.6V | Step 3.5 Flash |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual Step 3.5 Flash leads
GLM-4.6V: 48.6 (#141), Step 3.5 Flash: 50.5 (#119)
| Benchmark | GLM-4.6V | Step 3.5 Flash |
|---|---|---|
| LMArena Non-English | 1359 | 1385 |
| LMArena Chinese | 1425 | 1447 |
| LMArena Russian | 1340 | 1385 |
| LMArena French | — | 1421 |
| LMArena German | — | 1405 |
| LMArena Japanese | — | 1354 |
| LMArena Korean | — | 1352 |
| LMArena Spanish | — | 1419 |
Instruction Following Step 3.5 Flash leads
GLM-4.6V: 71.4 (#151), Step 3.5 Flash: 73.1 (#124)
| Benchmark | GLM-4.6V | Step 3.5 Flash |
|---|---|---|
| LMArena Instruction Following | 1352 | 1385 |
Long Context Step 3.5 Flash leads
GLM-4.6V: 41.3 (#143), Step 3.5 Flash: 42.8 (#117)
| Benchmark | GLM-4.6V | Step 3.5 Flash |
|---|---|---|
| LMArena Longer Query | 1358 | 1402 |
Writing & Preference Step 3.5 Flash leads
GLM-4.6V: 56.6 (#137), Step 3.5 Flash: 58.8 (#113)
| Benchmark | GLM-4.6V | Step 3.5 Flash |
|---|---|---|
| LMArena Text | 1377 | 1403 |
| LMArena Creative Writing | 1347 | 1357 |
| LMArena Multi-Turn | 1360 | 1405 |
Frequently asked questions
Is GLM-4.6V better than Step 3.5 Flash?
GLM-4.6V and Step 3.5 Flash score almost the same on the Noometry Index (41.3 vs 42.3), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.6V or Step 3.5 Flash?
Step 3.5 Flash is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.
Is GLM-4.6V or Step 3.5 Flash better for coding?
Step 3.5 Flash scores higher on coding benchmarks: 42.4 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
Step 3.5 Flash does, with 256K tokens against 128K.
How many benchmarks do GLM-4.6V and Step 3.5 Flash share?
11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Step 3.5 Flash has 19.