Model comparison

DeepSeek V4 Pro vs GLM-4.7

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 42.0 on the Noometry Index.

Last verified October 10, 2026. 31 shared benchmarks.

DeepSeek V4 Pro

DeepSeek

54.3

Rank #31 Confirmed

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Summary

They share 31 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 9 categories and GLM-4.7 in 0 categories; 9 gaps are clear of the uncertainty.
The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.5 to 24.3.
The biggest single-benchmark swing is ProofBench: 50% for DeepSeek V4 Pro and 6% for GLM-4.7.
Both cost about the same: $0.66 input and $1.98 output per million tokens.
DeepSeek V4 Pro accepts more context: 1M tokens versus 205K.

Side by side

DeepSeek V4 Pro and GLM-4.7 specifications
	DeepSeek V4 Pro	GLM-4.7
Provider	DeepSeek	Z.ai (Zhipu)
Noometry Index	54.3	42.0
Released	2026-04-24	2025-12-22
Weights	Open	Open
Context window	1M	205K
Max output	393K	131K
Input $ / M tokens	$0.66	$0.60
Output $ / M tokens	$1.98	$2.20
Results tracked	48	36

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Category by category

Coding DeepSeek V4 Pro leads

DeepSeek V4 Pro: 52.4 (#34), GLM-4.7: 44.0 (#79)

Coding benchmarks
Benchmark	DeepSeek V4 Pro	GLM-4.7
LMArena WebDev	1582	1435
SciCode	51%	45.1%
LMArena Coding	1470	1454
ALE-Bench	1,403	399.48
SWE-bench Verified	77.6%	—
FrontierCode	28.6%	—
WeirdML	66.2%	—

Agentic & Tool Use DeepSeek V4 Pro leads

DeepSeek V4 Pro: 32.8 (#58), GLM-4.7: 26.5 (#103)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek V4 Pro	GLM-4.7
Vending-Bench 2	3,285	2,377
Terminal-Bench	—	33.4%
APEX-Agents	47.3%	—

Reasoning DeepSeek V4 Pro leads

DeepSeek V4 Pro: 56.5 (#24), GLM-4.7: 24.3 (#164)

Reasoning benchmarks
Benchmark	DeepSeek V4 Pro	GLM-4.7
CritPt	18%	1.7%
Chess Puzzles	47%	6%
LMArena Hard Prompts	1461	1443
Epoch Capabilities Index	155.31	143.51
ARC-AGI-2	61.3%	—
SimpleBench	—	47.7%
Kagi LLM Benchmark	53.5%	—
NYT Connections (extended)	91.3%	—
ARC-AGI-1	90.5%	—
Mystery Game Puzzles	43%	—
DTBench	93.9%	—
LMCA	45.5%	—
Surface Evolver Bench	40%	—
ForecastBench	56.1	—

Math DeepSeek V4 Pro leads

DeepSeek V4 Pro: 64.8 (#30), GLM-4.7: 38.6 (#135)

Math benchmarks
Benchmark	DeepSeek V4 Pro	GLM-4.7
OTIS Mock AIME 2024-2025	98.6%	83.3%
ProofBench	50%	6%
LMArena Math	1455	1423
FrontierMath (Tiers 1-3)	64.6%	—
FrontierMath Tier 4	26.8%	—
MathArena Final-Answer Competitions	76.6%	—
FrontierMath (Feb 2025 set)	—	2.4%
FrontierMath Tier 4 (v1)	—	0%

Knowledge DeepSeek V4 Pro leads

DeepSeek V4 Pro: 59.5 (#31), GLM-4.7: 47.0 (#80)

Knowledge benchmarks
Benchmark	DeepSeek V4 Pro	GLM-4.7
GPQA Diamond	91.7%	83.3%
SimpleQA Verified	52.9%	32.2%
Vectara Hallucination Rate	8.6%	11.7%
LMArena Expert	1464	1424

Multilingual DeepSeek V4 Pro leads

DeepSeek V4 Pro: 54.4 (#45), GLM-4.7: 52.8 (#79)

Multilingual benchmarks
Benchmark	DeepSeek V4 Pro	GLM-4.7
LMArena Non-English	1439	1417
LMArena Chinese	1486	1495
LMArena French	1472	1432
LMArena German	1458	1424
LMArena Japanese	1445	1439
LMArena Korean	1447	1399
LMArena Russian	1453	1423
LMArena Spanish	1458	1434

Instruction Following DeepSeek V4 Pro leads

DeepSeek V4 Pro: 76.1 (#47), GLM-4.7: 74.4 (#95)

Instruction Following benchmarks
Benchmark	DeepSeek V4 Pro	GLM-4.7
LMArena Instruction Following	1448	1411

Long Context DeepSeek V4 Pro leads

DeepSeek V4 Pro: 45.0 (#51), GLM-4.7: 42.8 (#116)

Long Context benchmarks
Benchmark	DeepSeek V4 Pro	GLM-4.7
CL-bench Life	13.5%	10.9%
LMArena Longer Query	1458	1432
CL-bench	—	15.9%

Writing & Preference DeepSeek V4 Pro leads

DeepSeek V4 Pro: 65.5 (#46), GLM-4.7: 60.9 (#93)

Writing & Preference benchmarks
Benchmark	DeepSeek V4 Pro	GLM-4.7
LMArena Text	1451	1435
LMArena Creative Writing	1446	1401
EQ-Bench Creative Writing	1553	1413
LMArena Multi-Turn	1467	1446
EQ-Bench 4	1166	—

Frequently asked questions

Is DeepSeek V4 Pro better than GLM-4.7?

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 42.0 on the Noometry Index.

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

DeepSeek V4 Pro is cheaper. It lists at $0.66 per million input tokens and $1.98 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

Is DeepSeek V4 Pro or GLM-4.7 better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 44.0 in the Noometry coding category.

Which has the bigger context window?

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

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

31 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and GLM-4.7 has 36.