Model comparison
GLM-4.5-Air vs Laguna M.1
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in math, where GLM-4.5-Air leads 33.8 to 20.3.
- Laguna M.1 accepts more context: 262K tokens versus 131K.
Side by side
| GLM-4.5-Air | Laguna M.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Poolside |
| Noometry Index | 38.7 | 31.9 |
| Released | 2025-07-20 | 2026-04-28 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 98K | 33K |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 3 |
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Category by category
Coding Laguna M.1 leads
GLM-4.5-Air: 34.5 (#225), Laguna M.1: 36.4 (#195)
| Benchmark | GLM-4.5-Air | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1348 |
| GSO | 2.9% | — |
| LMArena Coding | 1397 | — |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 23.3 (#166), Laguna M.1: 21.9 (#187)
| Benchmark | GLM-4.5-Air | Laguna M.1 |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| LMArena Hard Prompts | 1379 | — |
| Surface Evolver Bench | — | 15.6% |
| ForecastBench | 59.2 | — |
Math GLM-4.5-Air leads
GLM-4.5-Air: 33.8 (#166), Laguna M.1: 20.3 (#276)
| Benchmark | GLM-4.5-Air | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
Knowledge Not comparable
GLM-4.5-Air: 34.6 (#184), Laguna M.1: —
| Benchmark | GLM-4.5-Air | Laguna M.1 |
|---|---|---|
| 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: 49.4 (#130), Laguna M.1: —
| Benchmark | GLM-4.5-Air | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1366 | — |
| LMArena Chinese | 1427 | — |
| LMArena French | 1399 | — |
| LMArena German | 1376 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1306 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1385 | — |
Instruction Following Not comparable
GLM-4.5-Air: 69.8 (#165), Laguna M.1: —
| Benchmark | GLM-4.5-Air | Laguna M.1 |
|---|---|---|
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1353 | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#130), Laguna M.1: —
| Benchmark | GLM-4.5-Air | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1367 | — |
Writing & Preference Not comparable
GLM-4.5-Air: 56.1 (#134), Laguna M.1: —
| Benchmark | GLM-4.5-Air | Laguna M.1 |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is GLM-4.5-Air better than Laguna M.1?
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 31.9 on the Noometry Index.
Is GLM-4.5-Air or Laguna M.1 better for coding?
Laguna M.1 scores higher on coding benchmarks: 36.4 versus 34.5 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 131K.
How many benchmarks do GLM-4.5-Air and Laguna M.1 share?
0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Laguna M.1 has 3.