Model comparison

DeepSeek V4 Flash vs GLM-4.7

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 42.0 on the Noometry Index.

Last verified October 10, 2026. 29 shared benchmarks.

DeepSeek V4 Flash

DeepSeek

53.6

Rank #35 Confirmed

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Summary

They share 29 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and GLM-4.7 in 0 categories; 6 gaps are clear of the uncertainty.
The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 24.3.
The biggest single-benchmark swing is ProofBench: 56% for DeepSeek V4 Flash and 6% for GLM-4.7.
DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
DeepSeek V4 Flash accepts more context: 1M tokens versus 205K.

Side by side

DeepSeek V4 Flash and GLM-4.7 specifications
	DeepSeek V4 Flash	GLM-4.7
Provider	DeepSeek	Z.ai (Zhipu)
Noometry Index	53.6	42.0
Released	2026-04-24	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	41	36

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), GLM-4.7: 44.0 (#79)

Coding benchmarks
Benchmark	DeepSeek V4 Flash	GLM-4.7
LMArena WebDev	1582	1435
SciCode	49.9%	45.1%
LMArena Coding	1457	1454
ALE-Bench	1,306	399.48
FrontierCode	18.8%	—
WeirdML	63%	—

Agentic & Tool Use Not comparable

DeepSeek V4 Flash: —, GLM-4.7: 26.5 (#103)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek V4 Flash	GLM-4.7
Terminal-Bench	—	33.4%
Vending-Bench 2	—	2,377

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), GLM-4.7: 24.3 (#164)

Reasoning benchmarks
Benchmark	DeepSeek V4 Flash	GLM-4.7
SimpleBench	61.1%	47.7%
CritPt	16.6%	1.7%
Chess Puzzles	33%	6%
LMArena Hard Prompts	1444	1443
Epoch Capabilities Index	154.49	143.51
ARC-AGI-2	61.4%	—
Kagi LLM Benchmark	52.2%	—
NYT Connections (extended)	89.6%	—
ARC-AGI-1	89%	—
Mystery Game Puzzles	34%	—
DTBench	90.9%	—
LMCA	41.7%	—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), GLM-4.7: 38.6 (#135)

Math benchmarks
Benchmark	DeepSeek V4 Flash	GLM-4.7
OTIS Mock AIME 2024-2025	94.4%	83.3%
ProofBench	56%	6%
LMArena Math	1427	1423
FrontierMath (Tiers 1-3)	57.5%	—
FrontierMath Tier 4	24.4%	—
MathArena Final-Answer Competitions	76.5%	—
FrontierMath (Feb 2025 set)	—	2.4%
FrontierMath Tier 4 (v1)	—	0%

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), GLM-4.7: 47.0 (#80)

Knowledge benchmarks
Benchmark	DeepSeek V4 Flash	GLM-4.7
GPQA Diamond	91%	83.3%
SimpleQA Verified	33.6%	32.2%
LMArena Expert	1441	1424
Vectara Hallucination Rate	—	11.7%

Multilingual Too close to call

DeepSeek V4 Flash: 53.0 (#72), GLM-4.7: 52.8 (#79)

Multilingual benchmarks
Benchmark	DeepSeek V4 Flash	GLM-4.7
LMArena Non-English	1420	1417
LMArena Chinese	1468	1495
LMArena French	1439	1432
LMArena German	1418	1424
LMArena Japanese	1406	1439
LMArena Korean	1384	1399
LMArena Russian	1428	1423
LMArena Spanish	1436	1434

Instruction Following Too close to call

DeepSeek V4 Flash: 74.9 (#81), GLM-4.7: 74.4 (#95)

Instruction Following benchmarks
Benchmark	DeepSeek V4 Flash	GLM-4.7
LMArena Instruction Following	1421	1411

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), GLM-4.7: 42.8 (#116)

Long Context benchmarks
Benchmark	DeepSeek V4 Flash	GLM-4.7
LMArena Longer Query	1434	1432
CL-bench	—	15.9%
CL-bench Life	—	10.9%

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), GLM-4.7: 60.9 (#93)

Writing & Preference benchmarks
Benchmark	DeepSeek V4 Flash	GLM-4.7
LMArena Text	1432	1435
LMArena Creative Writing	1403	1401
EQ-Bench Creative Writing	1559	1413
LMArena Multi-Turn	1449	1446

Frequently asked questions

Is DeepSeek V4 Flash better than GLM-4.7?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 42.0 on the Noometry Index.

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

DeepSeek V4 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 Flash or GLM-4.7 better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 44.0 in the Noometry coding category.

Which has the bigger context window?

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

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

29 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and GLM-4.7 has 36.