Data verified: Aug 30, 2026, 12:34 AM · Prices sourced from official provider pages. Verify current rates before production use.
Data verified: Aug 30, 2026, 12:34 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
GLM 5
Larger context
Tied
Faster
Tied
Higher quality
GLM 5.1
| Feature | GLM 5 | GLM 5.1 |
|---|---|---|
| Provider | Z.AI | Z.AI |
| Tier | Mid-tier | Flagship |
| Input per 1M tokens | $0.6 | $0.966 |
| Output per 1M tokens | $1.92 | $3.036 |
| Cached input per 1M | $0.12 | $0.1794 |
| Context window | 204.8K | 204.8K |
| Intelligence index | — | 41/100 |
| Coding index | — | 56/100 |
| Agentic index | — | 31/100 |
| GPQA Diamond | 1 | 1 |
| Tau-bench (airline) | 1 | 1 |
| Speed | Standard | Standard |
| Vision (image input) | No | No |
| 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.
GLM 5 saves $4.45/mo vs GLM 5.1
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We integrate GLM 5 or GLM 5.1 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.