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xAIGrok 4.3VSZ.ai (Zhipu AI)GLM-4.6

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Grok 4.3 and GLM-4.6 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

Grok 4.3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)Winner (+7.2%)
90.1%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$1.56Input: $1.25 | Output: $2.50
Context WindowLarger
1.05M tokens
Model Specs

GLM-4.6

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-verified)
68%

multi-file code and clearly defined tasks

Reasoning (gpqa-diamond)
82.9%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.6x cheaper
$1.00Input: $0.60 | Output: $2.20
Context Window
202.75k tokens

Frequently Asked Questions about Grok 4.3 vs GLM-4.6

GLM-4.6 is cheaper than Grok 4.3. GLM-4.6 has a blended cost of $1.00/1M tokens, which is about 1.6x cheaper than Grok 4.3 at $1.56/1M tokens.

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