Model comparison
GLM-4.5-Air vs Step 2 16k Exp 202412
GLM-4.5-Air and Step 2 16k Exp 202412 score almost the same on the Noometry Index (38.9 vs 39.2), 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-4.5-Air scores higher in 4 categories and Step 2 16k Exp 202412 in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5-Air leads 49.1 to 43.7.
- GLM-4.5-Air has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5-Air | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | StepFun |
| Noometry Index | 38.9 | 39.2 |
| Released | 2025-07-20 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 12 |
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Category by category
Coding Step 2 16k Exp 202412 leads
GLM-4.5-Air: 33.3 (#259), Step 2 16k Exp 202412: 38.5 (#174)
| Benchmark | GLM-4.5-Air | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Coding | 1397 | 1316 |
| GSO | 2.9% | — |
Reasoning Step 2 16k Exp 202412 leads
GLM-4.5-Air: 24.1 (#166), Step 2 16k Exp 202412: 25.9 (#142)
| Benchmark | GLM-4.5-Air | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1299 |
| Kagi LLM Benchmark | 43% | — |
| ForecastBench | 59.2 | — |
Math Too close to call
GLM-4.5-Air: 36.2 (#170), Step 2 16k Exp 202412: 36.3 (#169)
| Benchmark | GLM-4.5-Air | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Math | 1396 | 1304 |
| Omni-MATH | 39.1% | — |
Knowledge Too close to call
GLM-4.5-Air: 35.0 (#191), Step 2 16k Exp 202412: 35.2 (#187)
| Benchmark | GLM-4.5-Air | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Expert | 1370 | 1279 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
Multilingual GLM-4.5-Air leads
GLM-4.5-Air: 49.1 (#135), Step 2 16k Exp 202412: 43.7 (#181)
| Benchmark | GLM-4.5-Air | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | 1366 | 1290 |
| LMArena Chinese | 1426 | 1331 |
| LMArena Russian | 1373 | 1324 |
| LMArena French | 1399 | — |
| LMArena German | 1377 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1308 | — |
| LMArena Spanish | 1386 | — |
Instruction Following GLM-4.5-Air leads
GLM-4.5-Air: 69.6 (#171), Step 2 16k Exp 202412: 67.9 (#192)
| Benchmark | GLM-4.5-Air | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Instruction Following | 1354 | 1287 |
| IFEval | 81.2% | — |
Long Context GLM-4.5-Air leads
GLM-4.5-Air: 41.6 (#135), Step 2 16k Exp 202412: 39.7 (#170)
| Benchmark | GLM-4.5-Air | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Longer Query | 1366 | 1307 |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 55.9 (#139), Step 2 16k Exp 202412: 52.3 (#173)
| Benchmark | GLM-4.5-Air | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | 1384 | 1321 |
| LMArena Creative Writing | 1343 | 1328 |
| LMArena Multi-Turn | 1371 | 1292 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Step 2 16k Exp 202412?
GLM-4.5-Air and Step 2 16k Exp 202412 score almost the same on the Noometry Index (38.9 vs 39.2), so choose on price, context window or the category you care about most.
Is GLM-4.5-Air or Step 2 16k Exp 202412 better for coding?
Step 2 16k Exp 202412 scores higher on coding benchmarks: 38.5 versus 33.3 in the Noometry coding category.
How many benchmarks do GLM-4.5-Air and Step 2 16k Exp 202412 share?
12 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Step 2 16k Exp 202412 has 12.