GLM-4.7-FlashX
Last verified August 3, 2026 · Zhipu pricing ↗$0.070/1M input · $0.400/1M output · 200K context · Zhipu
GLM-4.7-FlashX costs $0.070 per 1M input tokens and $0.400 per 1M output tokens from Zhipu, with a 200K-token context window. A typical chat reply (1,500 tokens in, 400 out) costs $0.0003, or $2.65 per 10,000 requests. On that workload it is cheaper than 151 of the 168 other buyable models tracked here.
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What GLM-4.7-FlashX Costs Per Request
At $0.070 per 1M input and $0.400 per 1M output tokens, before caching or batch discounts.
| Workload | Input / output tokens | Per request | Per 10,000 requests |
|---|---|---|---|
| Chat reply | 1,500 / 400 | $0.0003 | $2.65 |
| RAG answer over retrieved docs | 8,000 / 600 | $0.0008 | $8.00 |
| Coding-agent step | 30,000 / 2,000 | $0.0029 | $29.00 |
GLM-4.7-FlashX vs Similarly Priced Models
Nearest buyable models by price, with the RAG answer above (8,000 in / 600 out) priced on each.
| Model | Input /1M | Output /1M | Context | RAG answer |
|---|---|---|---|---|
| GLM-4.7-FlashX Zhipu | $0.070 | $0.400 | 200K | $0.0008 |
| GLM-5.3-Flash Zhipu | $0.150 | $0.500 | 1.0M | $0.0015 |
| Gemma 4 31B Google | $0.120 | $0.360 | 262K | $0.0012 |
| GPT-5 Nano OpenAI | $0.050 | $0.400 | 400K | $0.0006 |
Alternatives to GLM-4.7-FlashX
Pricing Details
ZhipuThe paid Flash tier. Cached input $0.01/1M. Z.ai also publishes a separate GLM-4.7-Flash at $0 input / $0 output — free, rate-limited, and the right pick if your workload fits inside its limits; FlashX is what you pay for throughput. Same SKU on Bedrock, Vertex, Cerebras and OpenRouter.
Input / 1M tokens
$0.07
Output / 1M tokens
$0.4
Context Window
200K
Max Output
8K
Price History
No price change recorded since 2026-08-03, when this site started tracking this model.
Frequently Asked Questions
Common questions about GLM-4.7-FlashX pricing and usage
How much does GLM-4.7-FlashX cost?
GLM-4.7-FlashX costs $0.07 per 1 million input tokens and $0.4 per 1 million output tokens. This pricing is set by Zhipu.
What tokenizer does GLM-4.7-FlashX use?
GLM-4.7-FlashX uses the cl100k_base tokenizer. This tokenizer has a vocabulary of ~100,000 tokens and is widely used across many models.
What is GLM-4.7-FlashX's context window?
GLM-4.7-FlashX supports a context window of 200K tokens (200,000 tokens). The maximum output length is 8K tokens.
How does GLM-4.7-FlashX compare to other models?
On an 8,000-token-in, 600-token-out RAG answer, GLM-4.7-FlashX costs $0.0008 per request. The nearest-priced alternatives cost: GLM-5.3-Flash (Zhipu) $0.0015, Gemma 4 31B (Google) $0.0012, GPT-5 Nano (OpenAI) $0.0006. The table above lists their full rates and context windows.
How do I count tokens for GLM-4.7-FlashX?
Use the token counter at the top of this page or visit the homepage calculator. Paste your text and it will show the exact token count and cost for GLM-4.7-FlashX using the cl100k_base tokenizer.