comparison

GLM 4.6 vs GPT-5.4 nano

Token pricing, context window and real monthly cost, side by side. GPT-5.4 nano is the cheaper of the two for a typical workload — about 1.6× less.

cheaper for a typical workload
GPT-5.4 nano
saves 39% vs GLM 4.6 at 1,500 in / 500 out × 200,000/mo
GLM 4.6 $303/mo
GPT-5.4 nano $185/mo
GLM 4.6 versus GPT-5.4 nano specifications and price.
metric GLM 4.6 GPT-5.4 nano
Input / 1M $0.43 $0.20
Output / 1M $1.74 $1.25
Context 203K 400K
Cost @ typical workload $303/mo $185/mo
Modality Text only text + image
Price source routed list
Provider Z.AI OpenAI

Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →

Which should you pick?

On a typical workload, GPT-5.4 nano costs $185/mo against GLM 4.6's $303/mo — roughly 1.6× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, GPT-5.4 nano has the larger 400K-token window (~600 pages). Only GPT-5.4 nano accepts image input — decisive if your prompts include images.

These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures.

Frequently asked questions

Is GLM 4.6 or GPT-5.4 nano cheaper?

For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), GPT-5.4 nano costs $185/mo versus $303/mo for GLM 4.6 — about 1.6× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.

What's the main difference between GLM 4.6 and GPT-5.4 nano?

On price, GLM 4.6 is $0.43/$1.74 per 1M (in/out) and GPT-5.4 nano is $0.20/$1.25. GPT-5.4 nano has the larger context window at 400K tokens. GPT-5.4 nano also accepts image input, while GLM 4.6 is text-only.

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