Z.ai: GLM-5.3-Flash
GLM-5.3-Flash is a reasoning model from Z.ai released on Aug 21, 2026. It reads text, images, files and video and writes text, with a 1M token context window and up to 131K tokens per reply.
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It costs $0.15 per million input tokens and $0.50 per million output tokens. Cached input bills at $0.03, 80% less than fresh input.
It supports tool calling, structured JSON output and prompt caching, and its weights are open, so you can host it yourself.
65 providers serve it, including Volcengine Ark, Baseten and Cloudflare Workers AI. The lowest input price is $0.1188 per million tokens at Volcengine Ark.
On the Artificial Analysis Intelligence Index it scores 41.8, which places it at number 13 among the 43 models I track with independent scores.
- Modalities
- In / out price
- $0.15 / $0.50 per 1M
- Context
- 1M
- Max output
- 131K
- Released
- Aug 21, 2026
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
GLM-5.3-Flash pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.15 / 1M tokens | |
|---|---|---|
| Output | $0.50 / 1M tokens | |
| Cached input (read) | $0.03 / 1M tokens | 80% off input |
| Cache write | $0 / 1M tokens |
GLM-5.3-Flash providers
65 providers serve it, including Volcengine Ark, Baseten and Cloudflare Workers AI. The lowest input price is $0.1188 per million tokens at Volcengine Ark. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| Zhipu AI First party | $0.15 | $0.50 | $0.03 | 1M | 131K |
| Volcengine Ark | $0.1188 | $0.4156 | $0.0341 | 1M | 131K |
| Baseten | $0.15 | $0.50 | – | 1.05M | 131K |
| Cloudflare Workers AI | $0.15 | $0.50 | $0.03 | 1.05M | 1.05M |
| Deep Infra | $0.15 | $0.50 | $0.03 | 1.05M | 131K |
| Fireworks AI | $0.15 | $0.50 | $0.03 | 1.05M | 131K |
| Friendli | $0.15 | $0.50 | $0.03 | 1.05M | 131K |
| Hugging Face | $0.15 | $0.50 | – | 1.05M | 131K |
| Nebius Token Factory | $0.15 | $0.50 | $0.15 | 1.02M | 1.02M |
| Novita AI | $0.15 | $0.50 | $0.03 | 1.05M | 131K |
| SiliconFlow | $0.15 | $0.50 | $0.03 | 1.05M | 262K |
| Together AI | $0.15 | $0.50 | $0.03 | 1.05M | 400K |
Showing 12 of 65 providers: the lab first, then the major clouds, then the cheapest resellers.
What GLM-5.3-Flash costs per month
Pick a workload close to yours or type your own volumes.
Independent benchmarks
Measured by third parties, not reported by Z.ai. Each links to its source and shows the date I checked it.
A composite of 10 independent evaluations (agents 30%, coding 20%, scientific reasoning 20%, general 30%), run by Artificial Analysis on each model, version 4.3.2.
Artificial Analysis, checked Oct 10, 2026
Human preference: people compare two anonymous answers and pick the better one. Ratings from the Text Arena overall board, style control on.
Arena (formerly LMArena), checked Oct 10, 2026
Agentic coding in a real terminal: can the model, driving an agent harness, finish multi step software and ops tasks. Resolution rate.
Terminal-Bench, checked Oct 10, 2026
Abstract reasoning on visual puzzles the model has not seen, semi private set. Hard to memorise, so it tracks reasoning more than knowledge.
ARC Prize, checked Oct 10, 2026
Median output tokens per second measured by Artificial Analysis on the provider API, for the same model setting as its index score.
Artificial Analysis, checked Oct 10, 2026
Benchmarks Z.ai reports (5)
- terminal-bench-2.1 (Terminal Bench 2.1, Claude Code 2.1.207, max_new_tokens 65536, 6h timeout)84.3%
- deepswe-v1.1 (DeepSWE v1.1, mini-swe-agent harness, 400K context)63.4%
- agents-last-exam (Agents' Last Exam)26.3%
- automationbench (AutomationBench v1.0.6)48.8%
- hle-with-tools (HLE w/ tools (full set), GPT-5.6-luna (medium) judge)55.3%
Labs pick their own settings and harnesses, so compare these only within one lab.
Supported request parameters
What you can set when you call GLM-5.3-Flash through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Reasoning
reasoning - Temperature
temperature
Alternatives to GLM-5.3-Flash
Models that take the same inputs and call tools, closest in price, cheaper ones first.
- 1.05M context
Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 23 providers.
by googleJun 17, 2025$0.10/M input tokens$0.40/M output tokens23 providers
- 1.05M context
Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 4 providers.
by metaSep 2, 2026$0.10/M input tokens$0.20/M output tokens4 providers
Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 4 providers.
by metaAug 5, 2026$0.10/M input tokens$0.20/M output tokens4 providers
- 1.05M context
Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 24 providers.
by googleFeb 18, 2026$0.25/M input tokens$1.50/M output tokens24 providers
- 1.05M context
Reads text, images, files, audio and video. Tool calling, structured output, reasoning.
by vivgridMar 3, 2026$0.25/M input tokens$1.50/M output tokens
- 1.05M context
Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 10 providers.
by googleMar 20, 2025$0.25/M input tokens$1.50/M output tokens10 providers
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GLM-5.3-Flash questions
How much does the GLM-5.3-Flash API cost?
$0.15 per million input tokens and $0.50 per million output tokens, with cached input at $0.03. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of GLM-5.3-Flash?
1,000,000 tokens of input, and it can write up to 131,072 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve GLM-5.3-Flash?
65 providers serve it, including Volcengine Ark, Baseten and Cloudflare Workers AI. The lowest input price is $0.1188 per million tokens at Volcengine Ark. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Does GLM-5.3-Flash support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is GLM-5.3-Flash open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was GLM-5.3-Flash released?
Aug 21, 2026.
How good is GLM-5.3-Flash compared with other models?
It scores 41.8 on the Artificial Analysis Intelligence Index and 1475 on the Arena text leaderboard. Benchmarks are a shortlist, not a verdict: test the top two or three candidates on your own tasks before you commit.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.
Building on GLM-5.3-Flash?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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