whichllmmodel
Back to Dashboard
OpenAI

GPT-5.4 nano

VS
Z.ai (Zhipu AI)

GLM-4.6

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.4 nano is the premium intelligence choice, scoring 42.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GLM-4.6 is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GLM-4.6 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.4 nano fully justifies the cost.

Model Specs

GPT-5.4 nano

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+42.7%)
52.4%
Reasoning (gpqa-diamond)
82.8%

Cost & Performance

Cost (per 1M tokens)
$0.46Input: $0.20 | Output: $1.25
Speed
191 tps
Context WindowLarger
400k tokens
Model Specs

GLM-4.6

Benchmarks & Scores

Coding (swe-bench-pro)
9.67%
Reasoning (gpqa-diamond)Winner (+0.1%)
82.9%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
N/A
Context Window
204.8k tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Speed data is not available for GLM-4.6, while GPT-5.4 nano generates 191 tokens per second.

GPT-5.4 nano is better for coding tasks. It scores 52.4% on coding evaluations (swe-bench-pro) compared to GLM-4.6 which scores 9.67%.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard