Model comparison
GLM-4.6V vs Laguna M.1
GLM-4.6V is the stronger model overall, scoring 41.3 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in reasoning, where GLM-4.6V leads 27.6 to 23.1.
- Laguna M.1 accepts more context: 262K tokens versus 128K.
Side by side
| GLM-4.6V | Laguna M.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Poolside |
| Noometry Index | 41.3 | 32.5 |
| Released | 2025-12-08 | 2026-04-28 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 33K | 33K |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 12 | 3 |
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Category by category
Coding GLM-4.6V leads
GLM-4.6V: 40.9 (#128), Laguna M.1: 36.6 (#204)
| Benchmark | GLM-4.6V | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1349 |
| LMArena Coding | 1390 | — |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Laguna M.1: 23.1 (#184)
| Benchmark | GLM-4.6V | Laguna M.1 |
|---|---|---|
| LMArena Hard Prompts | 1368 | — |
| Surface Evolver Bench | — | 15.6% |
Math Not comparable
GLM-4.6V: —, Laguna M.1: 21.1 (#283)
| Benchmark | GLM-4.6V | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |
Knowledge Not comparable
GLM-4.6V: 38.0 (#149), Laguna M.1: —
| Benchmark | GLM-4.6V | Laguna M.1 |
|---|---|---|
| LMArena Expert | 1371 | — |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), Laguna M.1: —
| Benchmark | GLM-4.6V | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual Not comparable
GLM-4.6V: 48.6 (#141), Laguna M.1: —
| Benchmark | GLM-4.6V | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1340 | — |
Instruction Following Not comparable
GLM-4.6V: 71.4 (#151), Laguna M.1: —
| Benchmark | GLM-4.6V | Laguna M.1 |
|---|---|---|
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
GLM-4.6V: 41.3 (#143), Laguna M.1: —
| Benchmark | GLM-4.6V | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1358 | — |
Writing & Preference Not comparable
GLM-4.6V: 56.6 (#137), Laguna M.1: —
| Benchmark | GLM-4.6V | Laguna M.1 |
|---|---|---|
| LMArena Text | 1377 | — |
| LMArena Creative Writing | 1347 | — |
| LMArena Multi-Turn | 1360 | — |
Frequently asked questions
Is GLM-4.6V better than Laguna M.1?
GLM-4.6V is the stronger model overall, scoring 41.3 to 32.5 on the Noometry Index.
Is GLM-4.6V or Laguna M.1 better for coding?
GLM-4.6V scores higher on coding benchmarks: 40.9 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 128K.
How many benchmarks do GLM-4.6V and Laguna M.1 share?
0 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Laguna M.1 has 3.