Noometry

Model comparison

GLM-4.5V vs Grok 4.7

Grok 4.7 is the stronger model overall, scoring 53.1 to 39.8 on the Noometry Index. GLM-4.5V costs 3.3× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Grok 4.7 xAI

53.1

Rank #37 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and Grok 4.7 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok 4.7 leads 62.8 to 37.5.
  • GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $2 / $6 for Grok 4.7.
  • Grok 4.7 accepts more context: 500K tokens versus 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5VGrok 4.7
ProviderZ.ai (Zhipu)xAI
Noometry Index39.853.1
Released2025-08-112026-09-21
WeightsOpenProprietary
Context window64K500K
Max output16K500K
Input $ / M tokens$0.60$2
Output $ / M tokens$1.80$6
Results tracked1539

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

Category by category

Coding Grok 4.7 leads

GLM-4.5V: 39.5 (#155), Grok 4.7: 58.0 (#18)

BenchmarkGLM-4.5VGrok 4.7
LMArena Coding13471427
FrontierCode—47.6%
CursorBench—46.3%
LMArena WebDev—1639
FrontierSWE—29.5%
SciCode—57.8%

Agentic & Tool Use Not comparable

GLM-4.5V: —, Grok 4.7: 36.7 (#37)

BenchmarkGLM-4.5VGrok 4.7
APEX-Agents—54.6%
GDP.pdf—22.8%
Vending-Bench 2—10,537

Reasoning Grok 4.7 leads

GLM-4.5V: 27.4 (#119), Grok 4.7: 49.1 (#40)

BenchmarkGLM-4.5VGrok 4.7
LMArena Hard Prompts13341413
Kagi LLM Benchmark59.8%—
NYT Connections (extended)—76.8%
CritPt—18%
Chess Puzzles—38%
Mystery Game Puzzles—29%
DTBench—96%
LMCA—49.4%
Epoch Capabilities Index—153.53

Math Grok 4.7 leads

GLM-4.5V: 37.4 (#159), Grok 4.7: 57.8 (#39)

BenchmarkGLM-4.5VGrok 4.7
LMArena Math13541407
FrontierMath (Tiers 1-3)—53%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—98.1%
ProofBench—34%

Knowledge Grok 4.7 leads

GLM-4.5V: 37.5 (#156), Grok 4.7: 62.8 (#22)

BenchmarkGLM-4.5VGrok 4.7
LMArena Expert13531422
GPQA Diamond—92.7%
SimpleQA Verified—56%

Multimodal Grok 4.7 leads

GLM-4.5V: 34.3 (#92), Grok 4.7: 35.5 (#87)

BenchmarkGLM-4.5VGrok 4.7
LMArena Vision11541228
Blueprint-Bench 2—32.5%
Furniture Assembly—20.8%

Multilingual Grok 4.7 leads

GLM-4.5V: 44.6 (#177), Grok 4.7: 50.8 (#116)

BenchmarkGLM-4.5VGrok 4.7
LMArena Non-English13031389
LMArena Chinese13371455
LMArena Russian12981397
LMArena Spanish13361400
LMArena French—1455

Instruction Following Grok 4.7 leads

GLM-4.5V: 69.2 (#175), Grok 4.7: 74.1 (#105)

BenchmarkGLM-4.5VGrok 4.7
LMArena Instruction Following13111404

Long Context Grok 4.7 leads

GLM-4.5V: 39.6 (#171), Grok 4.7: 43.1 (#104)

BenchmarkGLM-4.5VGrok 4.7
LMArena Longer Query13041413

Writing & Preference Grok 4.7 leads

GLM-4.5V: 52.5 (#170), Grok 4.7: 70.0 (#24)

BenchmarkGLM-4.5VGrok 4.7
LMArena Text13331399
LMArena Creative Writing12951391
LMArena Multi-Turn13321393
EQ-Bench Creative Writing—2007

Frequently asked questions

Is GLM-4.5V better than Grok 4.7?

Grok 4.7 is the stronger model overall, scoring 53.1 to 39.8 on the Noometry Index. GLM-4.5V costs 3.3× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5V or Grok 4.7?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Grok 4.7 lists at $2 and $6.

Is GLM-4.5V or Grok 4.7 better for coding?

Grok 4.7 scores higher on coding benchmarks: 58.0 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

Grok 4.7 does, with 500K tokens against 64K.

How many benchmarks do GLM-4.5V and Grok 4.7 share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Grok 4.7 has 39.

Related comparisons

Go deeper