Model comparison

DeepSeek V4.1 Flash vs GLM-5.3

GLM-5.3 is the stronger model overall, scoring 54.8 to 52.8 on the Noometry Index. DeepSeek V4.1 Flash costs 8.2× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

Last verified October 10, 2026. 33 shared benchmarks.

DeepSeek V4.1 Flash

DeepSeek

52.8

Rank #38 Confirmed

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Summary

They share 33 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 2 categories and GLM-5.3 in 7 categories; 5 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where GLM-5.3 leads 75.7 to 65.4.
The biggest single-benchmark swing is APEX-Agents: 39.5% for DeepSeek V4.1 Flash and 56.6% for GLM-5.3.
DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.

Side by side

DeepSeek V4.1 Flash and GLM-5.3 specifications
	DeepSeek V4.1 Flash	GLM-5.3
Provider	DeepSeek	Z.ai (Zhipu)
Noometry Index	52.8	54.8
Released	2026-09-09	2026-08-14
Weights	Open	Open
Context window	1M	1M
Max output	393K	131K
Input $ / M tokens	$0.15	$1.40
Output $ / M tokens	$0.60	$4.40
Results tracked	37	42

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Category by category

Coding GLM-5.3 leads

DeepSeek V4.1 Flash: 52.9 (#32), GLM-5.3: 59.5 (#14)

Coding benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
LMArena WebDev	1619	1622
SciCode	51.9%	59%
LMArena Coding	1506	1496
ALE-Bench	1,092	1,317
DeepSWE	—	69%
FrontierCode	—	40.1%
CursorBench	—	42.6%
FrontierSWE	—	30.2%
WeirdML	—	75.4%

Agentic & Tool Use GLM-5.3 leads

DeepSeek V4.1 Flash: 31.2 (#69), GLM-5.3: 36.4 (#38)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
APEX-Agents	39.5%	56.6%
GDP.pdf	19.8%	—
Vending-Bench 2	—	8,164

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), GLM-5.3: 46.1 (#46)

Reasoning benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
NYT Connections (extended)	89.6%	74.2%
CritPt	14.3%	19.1%
LMArena Hard Prompts	1483	1489
Mystery Game Puzzles	43%	33%
DTBench	89.9%	87.7%
LMCA	47%	55.5%
Epoch Capabilities Index	154.9	155.61
Chess Puzzles	—	21%
Surface Evolver Bench	46.3%	—
Bench to the Future 3	—	0.15

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), GLM-5.3: 62.3 (#33)

Math benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
FrontierMath (Tiers 1-3)	67.4%	68.8%
FrontierMath Tier 4	26.8%	29.3%
OTIS Mock AIME 2024-2025	98.3%	91.1%
ProofBench	54%	49%
LMArena Math	1477	1489

Knowledge Too close to call

DeepSeek V4.1 Flash: 57.9 (#38), GLM-5.3: 58.3 (#37)

Knowledge benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
GPQA Diamond	89.8%	90.9%
LMArena Expert	1506	1516
SimpleQA Verified	—	41%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), GLM-5.3: —

Multimodal benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
LMArena Vision	1277	—
Furniture Assembly	34.2%	—

Multilingual Too close to call

DeepSeek V4.1 Flash: 55.0 (#35), GLM-5.3: 55.7 (#28)

Multilingual benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
LMArena Non-English	1448	1457
LMArena Chinese	1497	1528
LMArena French	1452	1499
LMArena German	1484	1499
LMArena Japanese	1412	1453
LMArena Korean	1452	1472
LMArena Russian	1471	1463
LMArena Spanish	1459	1460

Instruction Following Too close to call

DeepSeek V4.1 Flash: 77.3 (#26), GLM-5.3: 77.5 (#23)

Instruction Following benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
LMArena Instruction Following	1474	1477

Long Context Too close to call

DeepSeek V4.1 Flash: 45.2 (#47), GLM-5.3: 45.4 (#41)

Long Context benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
LMArena Longer Query	1475	1482

Writing & Preference GLM-5.3 leads

DeepSeek V4.1 Flash: 65.4 (#48), GLM-5.3: 75.7 (#6)

Writing & Preference benchmarks
Benchmark	DeepSeek V4.1 Flash	GLM-5.3
LMArena Text	1462	1471
LMArena Creative Writing	1435	1457
EQ-Bench Creative Writing	1540	2075
LMArena Multi-Turn	1457	1472

Frequently asked questions

Is DeepSeek V4.1 Flash better than GLM-5.3?

Which is cheaper, DeepSeek V4.1 Flash or GLM-5.3?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

Is DeepSeek V4.1 Flash or GLM-5.3 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 52.9 in the Noometry coding category.

Which has the bigger context window?

Both accept 1M tokens.

How many benchmarks do DeepSeek V4.1 Flash and GLM-5.3 share?

33 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GLM-5.3 has 42.