GLM-5.3-Flash
Z.AI's natively multimodal 320B-parameter MoE (18B active) under MIT license, with hybrid sparse and linear attention, built for coding and long-horizon agent tasks.
- Params
- 320B, 18B active
- Context
- 1M tokens
- Max output
- 131K
- Released
- License
- MIT
Hosted API price
List price via Z.AI · per 1M tokens
- Input
- $0.08 /1M
- Output
- $0.25 /1M
- Hosted by
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7 providers
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving GLM-5.3-Flash, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cached input /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|---|
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$0.08 | $0.25 | $0.02 | $1.30 | Visit website |
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$0.08 | $0.25 | $1.30 | Visit website | |
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$0.08 | $0.25 | $0.02 | $1.30 | Visit website |
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$0.15 | $0.50 | $0.03 | $2.50 | Visit website |
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$0.15 | $0.50 | $0.03 | $2.50 | Visit website |
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$0.15 | $0.50 | $0.03 | $2.50 | Visit website |
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$0.20 | $0.50 | $3.00 | Visit website |
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
GLM-5.3-Flash needs about 178 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A40 at about $2,822 a month.
That costs the same as roughly 26B tokens a month on Z.AI's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 178 GB |
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$2,822 | 26B tokens /mo |
| 8-bit FP8 / INT8 | 322 GB |
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$2,822 | 26B tokens /mo |
| 16-bit FP16 / BF16 | 642 GB |
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$12,730 | 118B tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Similarly priced models
The models nearest GLM-5.3-Flash by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs GLM-5.3-Flash |
|---|---|---|---|---|---|---|
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$0.0833 | $0.05 | $0.25 | 8K | Mar 2023 | −23% |
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$0.0917 | $0.06 | $0.25 | 262K | −15% | |
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$0.0983 | $0.05 | $0.34 | 128K | Dec 2023 | −9% |
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$0.0983 | $0.05 | $0.34 | 33K | −9% | |
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$0.10 | $0.10 | $0.10 | 256K | −8% | |
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$0.1083 | $0.08 | $0.25 | 1M | ||
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$0.1083 | $0.05 | $0.40 | 400K | May 2024 | 0% |
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$0.1267 | $0.06 | $0.46 | 262K | +17% | |
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$0.1283 | $0.07 | $0.42 | 262K | +18% | |
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$0.1333 | $0.10 | $0.30 | 128K | Aug 2024 | +23% |
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$0.1333 | $0.10 | $0.30 | 256K | Jan 2025 | +23% |
USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Capabilities
What GLM-5.3-Flash accepts and can do, as published by Z.AI.
- Text Accepts and generates natural-language text.
- Image Accepts images as input alongside text.
- Video Accepts video as input.
- Reasoning Thinks before it answers, always on or as a switchable mode.
- Function calling Connect to external tools, APIs, and systems.
- Structured output Return responses in structured formats like JSON.
Common questions
What is GLM-5.3-Flash good for?
Visual coding, office and document work, and long agent tasks, with images and video as input. MIT weights allow commercial self-hosting, at the lower-cost end of Z.AI's lineup.
When is GLM-5.3-Flash not a good fit?
No audio input, and no built-in web search, though a host or your own tool loop can add one. Self-hosting still takes a multi-GPU node: memory follows the full 320B parameters, not the 18B active.
What is the cheapest way to run GLM-5.3-Flash?
Hosted, unless you push serious volume. Z.AI charges $0.08 in / $0.25 out per 1M tokens. The cheapest rental that fits is 8x A40 at $2,822 a month, which costs the same as about 26B tokens a month on that API.
Can I self-host GLM-5.3-Flash?
Yes. The weights are MIT licensed. At 4-bit it needs about 178 GB of GPU memory, which starts at roughly $2,822 a month on the cheapest rental that fits.
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