xAIGrok 4.3VSZ.ai (Zhipu AI)GLM-4.6
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.
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
N/Acomplex 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: $2.50Context WindowLarger
1.05M tokensBenchmarks & 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: $2.20Context Window
202.75k tokensFrequently 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.
Related Matchups
Explore similar comparisons for Grok 4.3 and GLM-4.6.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.