Z.ai (Zhipu) · language model
GLM 4.7 Flash: pricing, context and benchmarks
GLM 4.7 Flash is a language model from Z.ai (Zhipu) released on January 19, 2026. It costs $0.06 per million input tokens and $0.4 per million output tokens, with a 200K-token context window. No independent score has been published for it so far.
| Price | 25/30 | |
|---|---|---|
| Context | 5/15 | |
| Features | 15/15 |
What you need to know about GLM 4.7 Flash
GLM 4.7 Flash was released by Z.ai (Zhipu) (China) on January 19, 2026. It accepts text as input and produces text. Its context window reaches 200,000 tokens, larger than 36 % of the models in the registry, and it can write up to 117,964 tokens in one go.
It has been available for about 9 months, long enough for its prices and scores to have settled.
GLM 4.7 Flash pricing
On OpenRouter, GLM 4.7 Flash costs $0.06 per million input tokens and $0.4 per million output tokens. Counting three tokens read for every token written, its average price is $0.146 per million, more expensive than 16 % of paid models (5.2 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0003. At 1,000 tasks a day, budget $10 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for GLM 4.7 Flash. We therefore show no made-up performance rating: only price, context and features count towards its score.
Scores published by Epoch AI on the benchmarks the site tracks:
| Benchmark | What it measures | Score | Date |
|---|---|---|---|
| GPQA Diamond | PhD-level science questions | 60.5 % | — |
| OTIS Mock AIME | maths competition problems | 58.3 % | — |
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.
Its weights are open and downloadable from Hugging Face (mit licence): you can run it on your own machines without sending your data to a third party. With 31,221,488,576 billion parameters, it needs about 17,446,366,274 GB of memory at 4-bit quantisation. Check with the VRAM calculator. It was downloaded 977,416 times on Hugging Face last month.
Other Z.ai (Zhipu) models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| GLM 5.3 Prime | Sep 23, 2026 | $4.3 | — |
| GLM 5.3 FlashX | Sep 18, 2026 | $0.59 | — |
| GLM 5.3 Flash | Aug 26, 2026 | $0.24 | 153.1 |
| GLM 5.3 | Aug 18, 2026 | $0.41 | 156 |
| GLM 5.2 | Jun 16, 2026 | $1.78 | 151.9 |
| GLM 5.1 | Apr 7, 2026 | $2.15 | 149.8 |
| GLM 5V Turbo | Apr 1, 2026 | $1.9 | — |
| GLM 5 Turbo | Mar 15, 2026 | $1.9 | — |
Verdict
GLM 4.7 Flash scores 75/100 on our grid, which only uses published figures.
Strengths
- Low price: cheaper than 84 % of paid models.
- Open weights: self-hostable, your data stays with you.
- Agent-ready: tool calling and structured JSON output.
Limitations
- No independent score published: performance cannot be verified.
- Text only: reads neither images nor files.
Avoid if…
- you want to host it on a single consumer computer (≈ 17,446,366,274 GB needed at 4-bit).
Alternatives
- Gemma 3 27B$0.15
- Qwen3 32B$0.13
- gpt-oss-safeguard-20b$0.13
- Llama 3.3 70B Instruct$0.16
- Llama Guard 4 12B$0.18
- Llama 3.2 3B Instruct$0.12
Comparisons and tools
Learn more
Frequently asked questions
How much does GLM 4.7 Flash cost?
$0.06 per million input tokens and $0.4 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0003.
How big is GLM 4.7 Flash's context window?
200,000 tokens, roughly 150,000 words, with a maximum of 117,964 output tokens.
Can GLM 4.7 Flash run locally?
Yes, its weights are published under the mit licence. Expect about 17,446,366,274 GB of memory at 4-bit.
Is GLM 4.7 Flash suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
What are the alternatives to GLM 4.7 Flash?
The closest models on price and performance are Gemma 3 27B, Qwen3 32B, and gpt-oss-safeguard-20b.
Related articles
- Mistral AI: models, pricing and agentsOctober 25, 2026
- LLM benchmarks: how to read model rankingsOctober 24, 2026
- Running a local LLM: hardware, software, and limitationsOctober 24, 2026
- Open-source or closed models for your AI agents?October 5, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score