Data verified: Aug 21, 2026, 12:32 AM · Prices sourced from official provider pages. Verify current rates before production use.
Data verified: Aug 21, 2026, 12:32 AM · Prices sourced from official provider pages. Verify current rates before production use.
Price, context and performance head to head. Data synced from the provider catalog.
Cheaper
GPT-5.6 Luna
Larger context
GPT-5.6 Luna
Faster
Tied
Higher quality
GLM 5.3
| Feature | GLM 5.3 | GPT-5.6 Luna |
|---|---|---|
| Provider | Z.AI | OpenAI |
| Tier | Mid-tier | Mid-tier |
| Input per 1M tokens | $1.4 | $0.2 |
| Output per 1M tokens | $4.4 | $1.2 |
| Cached input per 1M | $0.26 | $0.02 |
| Context window | 1.0M | 1.1M |
| Intelligence index | 60/100 | 52/100 |
| Coding index | 75/100 | 71/100 |
| Agentic index | 59/100 | 47/100 |
| GPQA Diamond | — | 1 |
| Tau-bench (airline) | — | 1 |
| Speed | Standard | Standard |
| Vision (image input) | No | Yes |
| Function calling | Yes | Yes |
| Batch API | No | No |
Enter how many requests per day you send with an average prompt (1K input + 1K output) and compare the monthly cost of both models.
GPT-5.6 Luna saves $13.2/mo vs GLM 5.3
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We integrate GLM 5.3 or GPT-5.6 Luna into your product with caching, observability and continuous evaluation — typically 40-80% cheaper than the obvious first pick.
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A token is the unit an AI model processes: usually between half a word and a full word. Rule of thumb: 1,000 tokens ≈ 750 English words. A 20-word sentence is about 26 tokens; a 300-word email is around 400. Models charge for input tokens (your prompt) and output tokens (their answer) separately.