Noometry

Model comparison

GLM-4.6V vs Grok 4.3

Grok 4.3 is the stronger model overall, scoring 43.8 to 41.3 on the Noometry Index. GLM-4.6V costs 3.5× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Grok 4.3 xAI

43.8

Rank #86 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 1 category and Grok 4.3 in 7 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok 4.3 leads 52.5 to 38.0.
  • GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
  • Grok 4.3 accepts more context: 1M tokens versus 128K.
  • GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

GLM-4.6VGrok 4.3
ProviderZ.ai (Zhipu)xAI
Noometry Index41.343.8
Released2025-12-082026-04-17
WeightsOpenProprietary
Context window128K1M
Max output33K30K
Input $ / M tokens$0.30$1.25
Output $ / M tokens$0.90$2.50
Results tracked1240

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Category by category

Coding Too close to call

GLM-4.6V: 40.9 (#128), Grok 4.3: 41.6 (#121)

BenchmarkGLM-4.6VGrok 4.3
LMArena Coding13901415
LMArena WebDev—1357
SciCode—47.3%
WeirdML—49.9%
ALE-Bench—944.17

Agentic & Tool Use Not comparable

GLM-4.6V: —, Grok 4.3: 27.7 (#99)

BenchmarkGLM-4.6VGrok 4.3
GDP.pdf—8%
LMArena Search—1165
Vending-Bench 2—35.26

Reasoning Grok 4.3 leads

GLM-4.6V: 27.6 (#115), Grok 4.3: 35.9 (#68)

BenchmarkGLM-4.6VGrok 4.3
LMArena Hard Prompts13681396
NYT Connections (extended)—55.2%
CritPt—8%
Chess Puzzles—25%
DTBench—90.7%
LMCA—38.3%
Epoch Capabilities Index—149.16
ForecastBench—60.3

Math Not comparable

GLM-4.6V: —, Grok 4.3: 46.0 (#74)

BenchmarkGLM-4.6VGrok 4.3
FrontierMath (Tiers 1-3)—42.8%
FrontierMath Tier 4—14.6%
OTIS Mock AIME 2024-2025—93.3%
ProofBench—11%
LMArena Math—1388

Knowledge Grok 4.3 leads

GLM-4.6V: 38.0 (#149), Grok 4.3: 52.5 (#62)

BenchmarkGLM-4.6VGrok 4.3
LMArena Expert13711385
GPQA Diamond—88.8%
SimpleQA Verified—33.2%

Multimodal GLM-4.6V leads

GLM-4.6V: 34.8 (#90), Grok 4.3: 31.6 (#104)

BenchmarkGLM-4.6VGrok 4.3
LMArena Vision11641229
Blueprint-Bench 2—0%

Multilingual Grok 4.3 leads

GLM-4.6V: 48.6 (#141), Grok 4.3: 50.5 (#120)

BenchmarkGLM-4.6VGrok 4.3
LMArena Non-English13591385
LMArena Chinese14251422
LMArena Russian13401399
LMArena French—1412
LMArena German—1395
LMArena Japanese—1379
LMArena Korean—1356
LMArena Spanish—1398

Instruction Following Too close to call

GLM-4.6V: 71.4 (#151), Grok 4.3: 72.1 (#140)

BenchmarkGLM-4.6VGrok 4.3
LMArena Instruction Following13521366

Long Context Grok 4.3 leads

GLM-4.6V: 41.3 (#143), Grok 4.3: 42.5 (#123)

BenchmarkGLM-4.6VGrok 4.3
LMArena Longer Query13581393

Writing & Preference Grok 4.3 leads

GLM-4.6V: 56.6 (#137), Grok 4.3: 58.5 (#118)

BenchmarkGLM-4.6VGrok 4.3
LMArena Text13771397
LMArena Creative Writing13471380
LMArena Multi-Turn13601406
EQ-Bench 4—1075

Frequently asked questions

Is GLM-4.6V better than Grok 4.3?

Grok 4.3 is the stronger model overall, scoring 43.8 to 41.3 on the Noometry Index. GLM-4.6V costs 3.5× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

Which is cheaper, GLM-4.6V or Grok 4.3?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.

Is GLM-4.6V or Grok 4.3 better for coding?

They score almost the same on coding (40.9 vs 41.6); test both on your own repository before choosing.

Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 128K.

How many benchmarks do GLM-4.6V and Grok 4.3 share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Grok 4.3 has 40.

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