Model comparison

DeepSeek V4.1 Flash vs GLM-4.7

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.0 on the Noometry Index.

Last verified October 10, 2026. 26 shared benchmarks.

DeepSeek V4.1 Flash

DeepSeek

52.8

Rank #38 Confirmed

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Summary

They share 26 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and GLM-4.7 in 0 categories; 9 gaps are clear of the uncertainty.
The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 38.6.
The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 6% for GLM-4.7.
DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
DeepSeek V4.1 Flash accepts more context: 1M tokens versus 205K.

Side by side

DeepSeek V4.1 Flash and GLM-4.7 specifications
	DeepSeek V4.1 Flash	GLM-4.7
Provider	DeepSeek	Z.ai (Zhipu)
Noometry Index	52.8	42.0
Released	2026-09-09	2025-12-22
Weights	Open	Open
Context window	1M	205K
Max output	393K	131K
Input $ / M tokens	$0.15	$0.60
Output $ / M tokens	$0.60	$2.20
Results tracked	37	36

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), GLM-4.7: 44.0 (#79)

Coding benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
LMArena WebDev	1619	1435
SciCode	51.9%	45.1%
LMArena Coding	1506	1454
ALE-Bench	1,092	399.48

Agentic & Tool Use DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 31.2 (#69), GLM-4.7: 26.5 (#103)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
Terminal-Bench	—	33.4%
APEX-Agents	39.5%	—
GDP.pdf	19.8%	—
Vending-Bench 2	—	2,377

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), GLM-4.7: 24.3 (#164)

Reasoning benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
CritPt	14.3%	1.7%
LMArena Hard Prompts	1483	1443
Epoch Capabilities Index	154.9	143.51
SimpleBench	—	47.7%
NYT Connections (extended)	89.6%	—
Chess Puzzles	—	6%
Mystery Game Puzzles	43%	—
DTBench	89.9%	—
LMCA	47%	—
Surface Evolver Bench	46.3%	—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), GLM-4.7: 38.6 (#135)

Math benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
OTIS Mock AIME 2024-2025	98.3%	83.3%
ProofBench	54%	6%
LMArena Math	1477	1423
FrontierMath (Tiers 1-3)	67.4%	—
FrontierMath Tier 4	26.8%	—
FrontierMath (Feb 2025 set)	—	2.4%
FrontierMath Tier 4 (v1)	—	0%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), GLM-4.7: 47.0 (#80)

Knowledge benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
GPQA Diamond	89.8%	83.3%
LMArena Expert	1506	1424
SimpleQA Verified	—	32.2%
Vectara Hallucination Rate	—	11.7%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), GLM-4.7: —

Multimodal benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
LMArena Vision	1277	—
Furniture Assembly	34.2%	—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), GLM-4.7: 52.8 (#79)

Multilingual benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
LMArena Non-English	1448	1417
LMArena Chinese	1497	1495
LMArena French	1452	1432
LMArena German	1484	1424
LMArena Japanese	1412	1439
LMArena Korean	1452	1399
LMArena Russian	1471	1423
LMArena Spanish	1459	1434

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), GLM-4.7: 74.4 (#95)

Instruction Following benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
LMArena Instruction Following	1474	1411

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), GLM-4.7: 42.8 (#116)

Long Context benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
LMArena Longer Query	1475	1432
CL-bench	—	15.9%
CL-bench Life	—	10.9%

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), GLM-4.7: 60.9 (#93)

Writing & Preference benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-4.7
LMArena Text	1462	1435
LMArena Creative Writing	1435	1401
EQ-Bench Creative Writing	1540	1413
LMArena Multi-Turn	1457	1446

Frequently asked questions

Is DeepSeek V4.1 Flash better than GLM-4.7?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.0 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or GLM-4.7?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

Is DeepSeek V4.1 Flash or GLM-4.7 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 44.0 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 205K.

How many benchmarks do DeepSeek V4.1 Flash and GLM-4.7 share?

26 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GLM-4.7 has 36.