Model comparison

GLM-4.7-Flash vs Laguna M.1

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 32.5 on the Noometry Index.

Last verified October 11, 2026. 0 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Laguna M.1

Poolside

32.5

Rank #256 Reported

Summary

The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 21.1.
Laguna M.1 accepts more context: 262K tokens versus 200K.

Side by side

GLM-4.7-Flash and Laguna M.1 specifications
	GLM-4.7-Flash	Laguna M.1
Provider	Z.ai (Zhipu)	Poolside
Noometry Index	38.8	32.5
Released	2026-01-19	2026-04-28
Weights	Open	Open
Context window	200K	262K
Max output	131K	33K
Input $ / M tokens	$0.06	—
Output $ / M tokens	$0.40	—
Results tracked	21	3

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.6 (#135), Laguna M.1: 36.6 (#204)

Coding benchmarks
Benchmark	GLM-4.7-Flash	Laguna M.1
LMArena WebDev	—	1349
LMArena Coding	1383	—

Reasoning Laguna M.1 leads

GLM-4.7-Flash: 20.9 (#229), Laguna M.1: 23.1 (#184)

Reasoning benchmarks
Benchmark	GLM-4.7-Flash	Laguna M.1
Chess Puzzles	0%	—
LMArena Hard Prompts	1356	—
Surface Evolver Bench	—	15.6%

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 36.1 (#173), Laguna M.1: 21.1 (#283)

Math benchmarks
Benchmark	GLM-4.7-Flash	Laguna M.1
OTIS Mock AIME 2024-2025	58.3%	—
ProofBench	—	0%
LMArena Math	1355	—

Knowledge Not comparable

GLM-4.7-Flash: 35.5 (#184), Laguna M.1: —

Knowledge benchmarks
Benchmark	GLM-4.7-Flash	Laguna M.1
GPQA Diamond	60.5%	—
Vectara Hallucination Rate	9.3%	—
LMArena Expert	1357	—

Multilingual Not comparable

GLM-4.7-Flash: 46.5 (#158), Laguna M.1: —

Multilingual benchmarks
Benchmark	GLM-4.7-Flash	Laguna M.1
LMArena Non-English	1330	—
LMArena Chinese	1403	—
LMArena French	1332	—
LMArena German	1337	—
LMArena Korean	1283	—
LMArena Russian	1332	—
LMArena Spanish	1350	—

Instruction Following Not comparable

GLM-4.7-Flash: 70.1 (#167), Laguna M.1: —

Instruction Following benchmarks
Benchmark	GLM-4.7-Flash	Laguna M.1
LMArena Instruction Following	1327	—

Long Context Not comparable

GLM-4.7-Flash: 40.9 (#148), Laguna M.1: —

Long Context benchmarks
Benchmark	GLM-4.7-Flash	Laguna M.1
LMArena Longer Query	1345	—

Writing & Preference Not comparable

GLM-4.7-Flash: 47.4 (#210), Laguna M.1: —

Writing & Preference benchmarks
Benchmark	GLM-4.7-Flash	Laguna M.1
LMArena Text	1351	—
LMArena Creative Writing	1297	—
EQ-Bench Creative Writing	1125	—
LMArena Multi-Turn	1342	—

Frequently asked questions

Is GLM-4.7-Flash better than Laguna M.1?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 32.5 on the Noometry Index.

Is GLM-4.7-Flash or Laguna M.1 better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 36.6 in the Noometry coding category.

Which has the bigger context window?

Laguna M.1 does, with 262K tokens against 200K.

How many benchmarks do GLM-4.7-Flash and Laguna M.1 share?

0 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Laguna M.1 has 3.