whichllmmodel
Back to Dashboard

OpenAI GPT-5.6 Sol VS Z.ai (Zhipu AI) GLM-5.1

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.6 Sol is the premium intelligence choice, scoring 6.2% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GLM-5.1 is 5.2x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GLM-5.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Sol fully justifies the cost.
Was this recommendation helpful?
Model Specs

GPT-5.6 Sol

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+6.2%)
64.6%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+8.4%)
94.6%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00
Context WindowLarger
1.05M tokens
Model Specs

GLM-5.1

Benchmarks & Scores

Coding (swe-bench-pro)
58.4%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
86.2%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)5.2x cheaper
$2.15Input: $1.40 | Output: $4.40
Context Window
204.8k tokens

Frequently Asked Questions about GPT-5.6 Sol vs GLM-5.1 comparison

GLM-5.1 is cheaper than GPT-5.6 Sol. GLM-5.1 has a blended cost of $2.15/1M tokens, which is about 5.2x cheaper than GPT-5.6 Sol at $11.25/1M tokens.

GPT-5.6 Sol is better for coding tasks on this benchmark. It scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GLM-5.1 which scores 58.4%.