Model comparison
GLM-4.5-Air vs Step 3.7 Flash
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 37.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
StepFunSummary
- The widest gap is in coding, where Step 3.7 Flash leads 40.0 to 33.3.
- Both cost about the same: $0.20 input and $1.10 output per million tokens.
- Step 3.7 Flash accepts more context: 256K tokens versus 131K.
Side by side
| GLM-4.5-Air | Step 3.7 Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 38.9 | 37.3 |
| Released | 2025-07-20 | 2026-05-29 |
| Weights | Open | Open |
| Context window | 131K | 256K |
| Max output | 98K | 256K |
| Input $ / M tokens | $0.20 | $0.18 |
| Output $ / M tokens | $1.10 | $1.11 |
| Results tracked | 27 | 5 |
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Category by category
Coding Step 3.7 Flash leads
GLM-4.5-Air: 33.3 (#259), Step 3.7 Flash: 40.0 (#150)
| Benchmark | GLM-4.5-Air | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| GSO | 2.9% | — |
| LMArena Coding | 1397 | — |
| ALE-Bench | — | 694.12 |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 24.1 (#166), Step 3.7 Flash: 21.6 (#219)
| Benchmark | GLM-4.5-Air | Step 3.7 Flash |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| LMArena Hard Prompts | 1379 | — |
| ForecastBench | 59.2 | — |
Math Step 3.7 Flash leads
GLM-4.5-Air: 36.2 (#170), Step 3.7 Flash: 42.9 (#82)
| Benchmark | GLM-4.5-Air | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
Knowledge Not comparable
GLM-4.5-Air: 35.0 (#191), Step 3.7 Flash: —
| Benchmark | GLM-4.5-Air | Step 3.7 Flash |
|---|---|---|
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1370 | — |
Multilingual Not comparable
GLM-4.5-Air: 49.1 (#135), Step 3.7 Flash: —
| Benchmark | GLM-4.5-Air | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1366 | — |
| LMArena Chinese | 1426 | — |
| LMArena French | 1399 | — |
| LMArena German | 1377 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1308 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1386 | — |
Instruction Following Not comparable
GLM-4.5-Air: 69.6 (#171), Step 3.7 Flash: —
| Benchmark | GLM-4.5-Air | Step 3.7 Flash |
|---|---|---|
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1354 | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#135), Step 3.7 Flash: —
| Benchmark | GLM-4.5-Air | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1366 | — |
Writing & Preference Not comparable
GLM-4.5-Air: 55.9 (#139), Step 3.7 Flash: —
| Benchmark | GLM-4.5-Air | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is GLM-4.5-Air better than Step 3.7 Flash?
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 37.3 on the Noometry Index.
Which is cheaper, GLM-4.5-Air 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-4.5-Air lists at $0.20 and $1.10.
Is GLM-4.5-Air or Step 3.7 Flash better for coding?
Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 33.3 in the Noometry coding category.
Which has the bigger context window?
Step 3.7 Flash does, with 256K tokens against 131K.
How many benchmarks do GLM-4.5-Air and Step 3.7 Flash share?
0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Step 3.7 Flash has 5.