GLM-5
Z.AI's fifth-generation flagship, a 744B-parameter MoE activating 40B per token with DeepSeek Sparse Attention, aimed at agentic engineering and long-horizon work.
- Params
- 744B, 40B active
- Context
- 200K tokens
- Max output
- 131K
- Released
- License
- MIT
Hosted API price
List price via Z.AI · per 1M tokens
- Input
- $1.00 /1M
- Output
- $3.20 /1M
- Cheapest
- $0.60 / $1.60 via Geodd
- Hosted by
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6 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, 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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$0.60 | $1.60 | $9.20 | Visit website | |
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$1.00 | $3.20 | $0.20 | $16.40 | Visit website |
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$1.00 | $3.20 | $0.20 | $16.40 | Visit website |
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$1.00 | $3.20 | $16.40 | Visit website | |
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$1.00 | $3.20 | $0.20 | $16.40 | Visit website |
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$1.10 | $3.52 | $0.22 | $18.04 | 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 needs about 414 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A100 at about $10,080 a month.
That costs the same as roughly 7B 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 | 414 GB |
|
$10,080 | 7B tokens /mo |
| 8-bit FP8 / INT8 | 747 GB |
|
$22,666 | 17B tokens /mo |
| 16-bit FP16 / BF16 | 1,493 GB |
|
$45,331 | 33B 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. Pricing methodology.
Similarly priced models
The models nearest GLM-5 by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs GLM-5 |
|---|---|---|---|---|---|---|
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$0.6667 | $0.30 | $2.50 | 1M | Jan 2025 | −13% |
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$0.6667 | $0.30 | $2.50 | 1M | Mar 2026 | −13% |
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$0.6667 | $0.50 | $1.50 | 16K | Sep 2021 | −13% |
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$0.6667 | $0.50 | $1.50 | 256K | −13% | |
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$0.7333 | $0.40 | $2.40 | 1M | −4% | |
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$0.7667 | $0.60 | $1.60 | 200K | ||
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$0.80 | $0.80 | $0.80 | 131K | +4% | |
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$0.8667 | $0.60 | $2.20 | 205K | +13% | |
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$0.9167 | $0.50 | $3.00 | 1M | Jan 2025 | +20% |
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$0.9167 | $0.50 | $3.00 | 1M | +20% | |
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$0.95 | $0.70 | $2.20 | 1M | +24% |
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 accepts and can do, as published by Z.AI.
- Text Accepts and generates natural-language text.
- 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 good for?
Complex system engineering and long-range agent work. MIT weights allow commercial self-hosting, on a multi-GPU node.
When is GLM-5 not a good fit?
Text only, and no built-in web search, though a host or your own tool loop can add one. GLM-5.1 has since replaced it, and self-hosting takes a large multi-GPU node.
What is the cheapest way to run GLM-5?
Hosted, unless you push serious volume. Z.AI charges $1.00 in / $3.20 out per 1M tokens. The cheapest rental that fits is 8x A100 at $10,080 a month, which costs the same as about 7B tokens a month on that API.
How does GLM-5 compare with GLM-5.1?
Z.AI says GLM-5.1 codes much better than GLM-5 and, unlike earlier models that run out of ideas early, keeps improving its answer over many rounds of tool calls on long agent tasks. Same text input. GLM-5 lists at 29% less per 1M input tokens and 27% less per 1M output tokens than GLM-5.1. It came out 2 months earlier and has a smaller context (200K against 205K tokens).
Can I self-host GLM-5?
Yes. The weights are MIT licensed. At 4-bit it needs about 414 GB of GPU memory, which starts at roughly $10,080 a month on the cheapest rental that fits.
More from Z.AI
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GLM-4.7
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GLM-5-Turbo
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GLM-5.3
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From $1.40 / $4.40 /1M in / out at the cheapest provider -
GLM-5.3-Flash
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From $0.075 / $0.25 /1M in / out at the cheapest provider