Z.ai (Zhipu) · language model
GLM 5.3 FlashX Legal: pricing, context and benchmarks
GLM 5.3 FlashX Legal is Z.ai (Zhipu)'s model released on November 2, 2026. It costs $0.37 per million input tokens and $1.25 per million output tokens, with a 1M-token context window. No independent score has been published for it so far.
| Price | 17/30 | |
|---|---|---|
| Context | 14/15 | |
| Features | 11/15 |
What you need to know about GLM 5.3 FlashX Legal
Z.ai (Zhipu), based in China, put GLM 5.3 FlashX Legal online on November 2, 2026. It accepts text, images, and video as input and produces text. Its context window reaches 1,048,576 tokens, larger than 92 % of the models in the registry, and it can write up to 131,072 tokens in one go.
It is a recent model: real-world feedback and independent scores are still scarce.
GLM 5.3 FlashX Legal pricing
On OpenRouter, GLM 5.3 FlashX Legal costs $0.37 per million input tokens and $1.25 per million output tokens. Counting three tokens read for every token written, its average price is $0.59 per million, more expensive than 43 % of paid models (1.4 times cheaper than the median of $0.8).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0014. At 1,000 tasks a day, budget $41 a month. The price calculator redoes this with your own volumes.
Tokens already sent and cached are billed at $0.075 per million.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for GLM 5.3 FlashX Legal. We therefore show no made-up performance rating: only price, context and features count towards its score.
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 not published: it can only be used through the Z.ai (Zhipu) API or a broker such as OpenRouter, which means sending your data off your machines.
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 | $0.05 | 153.6 |
| GLM 5.3 | Aug 18, 2026 | $0.4 | 156.9 |
| GLM 5.2 | Jun 16, 2026 | $1.71 | 153 |
| GLM 5.1 | Apr 7, 2026 | $2.15 | 150.7 |
| GLM 5V Turbo | Apr 1, 2026 | $1.9 | — |
| GLM 5 Turbo | Mar 15, 2026 | $1.9 | — |
Verdict
Computed score: 70/100, from public data (performance, price, context, features).
Strengths
- Very large context (1M tokens): long documents or a whole codebase fit in one request.
- Agent-ready: tool calling and structured JSON output.
Limitations
- No independent score published: performance cannot be verified.
Avoid if…
- your data must not leave your servers.
Alternatives
- Gemini 3.1 Flash Lite$0.56
- Gemini 3.1 Flash Lite Preview$0.56
- Hy4$0.63
- MiniMax M3$0.53
- LongCat 2.0$0.53
- DeepSeek V4 Flash Vision Exp$0.66
Comparisons and tools
Learn more
Frequently asked questions
How much does GLM 5.3 FlashX Legal cost?
$0.37 per million input tokens and $1.25 per million output tokens on OpenRouter (checked November 8, 2026). A task with 2,000 tokens read and 500 written costs $0.0014.
How big is GLM 5.3 FlashX Legal's context window?
1,048,576 tokens, roughly 786,000 words, with a maximum of 131,072 output tokens.
Can GLM 5.3 FlashX Legal run locally?
No, Z.ai (Zhipu) does not publish its weights: it is API-only.
Is GLM 5.3 FlashX Legal 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 5.3 FlashX Legal?
The closest models on price and performance are Gemini 3.1 Flash Lite, Gemini 3.1 Flash Lite Preview, and Hy4.
Related articles
- DeepSeek for AI agents: strengths, limits and real costsOctober 27, 2026
- 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
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

