Model comparison
GLM-4.5 vs Laguna M.1
GLM-4.5 is the stronger model overall, scoring 41.4 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in math, where GLM-4.5 leads 36.3 to 20.3.
- Laguna M.1 accepts more context: 262K tokens versus 131K.
Side by side
| GLM-4.5 | Laguna M.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Poolside |
| Noometry Index | 41.4 | 31.9 |
| Released | 2025-07-27 | 2026-04-28 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 98K | 33K |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 3 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.1 (#121), Laguna M.1: 36.4 (#195)
| Benchmark | GLM-4.5 | Laguna M.1 |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1348 |
| WeirdML | 40.6% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 27.7 (#99), Laguna M.1: 21.9 (#187)
| Benchmark | GLM-4.5 | Laguna M.1 |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | — |
| LMArena Hard Prompts | 1430 | — |
| Surface Evolver Bench | — | 15.6% |
Math GLM-4.5 leads
GLM-4.5: 36.3 (#119), Laguna M.1: 20.3 (#276)
| Benchmark | GLM-4.5 | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |
| LMArena Math | 1427 | — |
Knowledge Not comparable
GLM-4.5: 35.5 (#172), Laguna M.1: —
| Benchmark | GLM-4.5 | Laguna M.1 |
|---|---|---|
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |
Multilingual Not comparable
GLM-4.5: 53.0 (#74), Laguna M.1: —
| Benchmark | GLM-4.5 | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1423 | — |
| LMArena German | 1406 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1382 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |
Instruction Following Not comparable
GLM-4.5: 74.3 (#100), Laguna M.1: —
| Benchmark | GLM-4.5 | Laguna M.1 |
|---|---|---|
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
GLM-4.5: 38.2 (#196), Laguna M.1: —
| Benchmark | GLM-4.5 | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1413 | — |
Writing & Preference Not comparable
GLM-4.5: 57.7 (#121), Laguna M.1: —
| Benchmark | GLM-4.5 | Laguna M.1 |
|---|---|---|
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| LMArena Multi-Turn | 1415 | — |
Frequently asked questions
Is GLM-4.5 better than Laguna M.1?
GLM-4.5 is the stronger model overall, scoring 41.4 to 31.9 on the Noometry Index.
Is GLM-4.5 or Laguna M.1 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.1 versus 36.4 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 and Laguna M.1 share?
0 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Laguna M.1 has 3.