Model comparison

DeepSeek V4 Flash vs GLM-5.3-Flash

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 51.8 on the Noometry Index.

Last verified October 11, 2026. 32 shared benchmarks.

DeepSeek V4 Flash

DeepSeek

53.6

Rank #35 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

They share 32 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 2 categories and GLM-5.3-Flash in 6 categories; 8 gaps are clear of the uncertainty.
The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 53.3.
The biggest single-benchmark swing is ProofBench: 56% for DeepSeek V4 Flash and 21% for GLM-5.3-Flash.
GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4 Flash.

Side by side

DeepSeek V4 Flash and GLM-5.3-Flash specifications
	DeepSeek V4 Flash	GLM-5.3-Flash
Provider	DeepSeek	Z.ai (Zhipu)
Noometry Index	53.6	51.8
Released	2026-04-24	2026-08-20
Weights	Open	Open
Context window	1M	1M
Max output	393K	131K
Input $ / M tokens	$0.15	$0.15
Output $ / M tokens	$0.60	$0.50
Results tracked	41	40

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Category by category

Coding GLM-5.3-Flash leads

DeepSeek V4 Flash: 47.9 (#59), GLM-5.3-Flash: 53.1 (#31)

Coding benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
FrontierCode	18.8%	31.8%
LMArena WebDev	1582	1609
SciCode	49.9%	51.6%
LMArena Coding	1457	1508
ALE-Bench	1,306	303.55
DeepSWE	—	63.4%
CursorBench	—	36.8%
FrontierSWE	—	18.1%
WeirdML	63%	—

Agentic & Tool Use Not comparable

DeepSeek V4 Flash: —, GLM-5.3-Flash: 34.2 (#47)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
APEX-Agents	—	52.8%
GDP.pdf	—	14%

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), GLM-5.3-Flash: 48.0 (#42)

Reasoning benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
ARC-AGI-2	61.4%	65.8%
ARC-AGI-1	89%	91%
CritPt	16.6%	15.4%
Chess Puzzles	33%	14%
LMArena Hard Prompts	1444	1491
Mystery Game Puzzles	34%	8%
Epoch Capabilities Index	154.49	151.88
SimpleBench	61.1%	—
Kagi LLM Benchmark	52.2%	—
NYT Connections (extended)	89.6%	—
DTBench	90.9%	—
LMCA	41.7%	—
Surface Evolver Bench	—	52.5%
Bench to the Future 3	—	0.15

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), GLM-5.3-Flash: 53.3 (#47)

Math benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
FrontierMath (Tiers 1-3)	57.5%	55.8%
FrontierMath Tier 4	24.4%	17.1%
OTIS Mock AIME 2024-2025	94.4%	93.9%
ProofBench	56%	21%
LMArena Math	1427	1500
MathArena Final-Answer Competitions	76.5%	—

Knowledge GLM-5.3-Flash leads

DeepSeek V4 Flash: 55.4 (#48), GLM-5.3-Flash: 58.4 (#36)

Knowledge benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
GPQA Diamond	91%	90.2%
LMArena Expert	1441	1513
SimpleQA Verified	33.6%	—

Multimodal Not comparable

DeepSeek V4 Flash: —, GLM-5.3-Flash: 42.8 (#27)

Multimodal benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
LMArena Vision	—	1296

Multilingual GLM-5.3-Flash leads

DeepSeek V4 Flash: 53.0 (#72), GLM-5.3-Flash: 56.0 (#25)

Multilingual benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
LMArena Non-English	1420	1462
LMArena Chinese	1468	1527
LMArena French	1439	1496
LMArena German	1418	1470
LMArena Japanese	1406	1429
LMArena Korean	1384	1446
LMArena Russian	1428	1469
LMArena Spanish	1436	1471

Instruction Following GLM-5.3-Flash leads

DeepSeek V4 Flash: 74.9 (#81), GLM-5.3-Flash: 77.5 (#20)

Instruction Following benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
LMArena Instruction Following	1421	1478

Long Context GLM-5.3-Flash leads

DeepSeek V4 Flash: 43.8 (#85), GLM-5.3-Flash: 45.4 (#39)

Long Context benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
LMArena Longer Query	1434	1482

Writing & Preference GLM-5.3-Flash leads

DeepSeek V4 Flash: 63.8 (#61), GLM-5.3-Flash: 65.3 (#50)

Writing & Preference benchmarks
Benchmark	DeepSeek V4 Flash	GLM-5.3-Flash
LMArena Text	1432	1471
LMArena Creative Writing	1403	1442
LMArena Multi-Turn	1449	1467
EQ-Bench Creative Writing	1559	—

Frequently asked questions

Is DeepSeek V4 Flash better than GLM-5.3-Flash?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 51.8 on the Noometry Index.

Which is cheaper, DeepSeek V4 Flash or GLM-5.3-Flash?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; DeepSeek V4 Flash lists at $0.15 and $0.60.

Is DeepSeek V4 Flash or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 47.9 in the Noometry coding category.

Which has the bigger context window?

Both accept 1M tokens.

How many benchmarks do DeepSeek V4 Flash and GLM-5.3-Flash share?

32 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and GLM-5.3-Flash has 40.