GLM-5.3-Flash
zai/glm-5-3-flash出品方： Z.AI / Zhipu · 系列: glm · 發布 2026-08-26
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清單
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding100
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability10/10
Agents100
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency79
- Headline price (log-scaled)74/95
- Has prompt-cache pricing5/5
Long context90
- Context window (100K → 2M)80/90
- Has published price for full window10/10
Vision100
- Accepts image input50/50
- Context window (10K → 1M)30/30
- Has published price10/10
- Provider availability10/10
Production-readiness96
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.50 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.00 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.28 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $0.85 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.05 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定價詳情
推薦定價來自 zai · glm-5.3-flash
最便宜的渠道： zhipuai-coding-plan · Unknown 輸入 + Unknown 輸出
於 20 家供應商可用
| 服務商 | 服務商模型 ID | 輸入 / 1M | 輸出 / 1M | 上下文 | 發布日期 |
|---|---|---|---|---|---|
| Z.AI zai | glm-5.3-flash | $0.075 | $0.250 | 1M | 2026-08-26 |
| Zhipu AI Coding Plan zhipuai-coding-plan | glm-5.3-flash | Unknown | Unknown | 1M | 2026-08-26 |
| Z.AI Coding Plan zai-coding-plan | glm-5.3-flash | Unknown | Unknown | 1M | 2026-08-26 |
| Zhipu AI zhipuai | glm-5.3-flash | $0.075 | $0.250 | 1M | 2026-08-26 |
| OpenRouter openrouter | z-ai/glm-5.3-flash | $0.075 | $0.250 | 1.31M | 2026-08-26 |
| Vercel AI Gateway vercel | zai/glm-5.3-flash | $0.150 | $0.500 | 1M | 2026-08-26 |
| Deep Infra deepinfra | zai-org/GLM-5.3-Flash | $0.150 | $0.500 | 1.05M | 2026-08-26 |
| Hugging Face huggingface | zai-org/GLM-5.3-Flash | $0.150 | $0.500 | 1.05M | 2026-08-26 |
| Cloudflare Workers AI cloudflare-workers-ai | @cf/zai-org/glm-5.3-flash | $0.150 | $0.500 | 1.31M | 2026-08-26 |
| NanoGPT nano-gpt | z-ai/glm-5.3-flash | $0.075 | $0.250 | 1.05M | 2026-08-26 |
| OpenCode Go opencode-go | glm-5.3-flash | $0.075 | $0.250 | 1M | 2026-08-26 |
| LLM Gateway llmgateway-providers | zai/glm-5.3-flash | $0.150 | $0.500 | 1.05M | 2026-08-26 |
| Merge Gateway merge-gateway | zai/glm-5.3-flash | $0.075 | $0.250 | 1M | 2026-08-26 |
| Requesty requesty | glm-5.3-flash | $0.135 | $0.450 | 1M | 2026-08-26 |
| Baseten baseten | zai-org/GLM-5.3-Flash | $0.150 | $0.500 | 1.05M | 2026-08-26 |
| EmpirioLabs AI empiriolabs | glm-5-3-flash | $0.075 | $0.250 | 1M | 2026-08-26 |
| Eden AI edenai | zai/glm-5.3-flash | $0.150 | $0.500 | 1.05M | 2026-08-26 |
| DevPass (LLM Gateway) llmgateway | glm-5.3-flash | $0.150 | $0.500 | 1.05M | 2026-08-26 |
| Kilo Gateway kilo | z-ai/glm-5.3-flash | $0.075 | $0.250 | 1.05M | 2026-08-26 |
| Venice AI venice | z-ai-glm-5-3-flash | $0.094 | $0.313 | 1.05M | 2026-08-21 |
各渠道資料存在不一致
- context_window varies: 1000000, 1048576, 1310720
- modalities varies across offerings
各服務商對此模型的回報值不一致。上方「核心數據」採用代表性服務商的值；逐項請以下表為準。
Frequently asked questions
How much does GLM-5.3-Flash cost?
GLM-5.3-Flash costs $0.075 per 1M input tokens and $0.250 per 1M output tokens, sourced from zai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of GLM-5.3-Flash?
GLM-5.3-Flash has a context window of 1M tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.
Does GLM-5.3-Flash support tool calling?
Yes. GLM-5.3-Flash supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does GLM-5.3-Flash support structured output / JSON mode?
Yes. GLM-5.3-Flash supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can GLM-5.3-Flash accept image input?
Yes. GLM-5.3-Flash accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Z.AI / Zhipu's docs for the exact rule.
Is GLM-5.3-Flash open-weight?
No. GLM-5.3-Flash is a proprietary model — only Z.AI / Zhipu (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to GLM-5.3-Flash?
If GLM-5.3-Flash doesn't fit, consider GLM-5.2, GLM-5.1, GLM-5. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.