Model garden Router · op aanvraag Dedicated · beschikbaar

GLM 5 FP8

Dit model draait als eigen dedicated GPU-deployment, direct te starten via de wizard. Data blijft in Europa.

We are launching GLM-5, targeting complex systems engineering and long-horizon agentic tasks. Scaling is still one of the most important ways to improve the intelligence efficiency of Artificial General Intelligence (AGI). Compared to GLM-4.5, GLM-5 scales from 355B parameters (3...

zai-org/GLM-5-FP8 Op aanvraag
text->text · zai-org · sovereign EU
Runs on EU infrastructure operated by European companies; US marketplace capacity is never part of this chain. Full chain
Parameters
203K
Contextvenster
908GB
Minimale VRAM
POST /api/v1/chat/completions Op aanvraag

Specificaties

Contextvenster 202,752 tokens
Minimale VRAM 908 GB
Architectuur GlmMoeDsaForCausalLM (vLLM)
Licentie open-weights
Modaliteit text->text
Uitgebracht February 2026
Uitgever zai-org ↗

Prijzen

Gedeelde router · per token
Op aanvraag
Niet beschikbaar op de gedeelde router. Prijs op aanvraag als dedicated GPU-deployment.
Dedicated GPU · per uur
vanaf €51,77 per uur
Eigen vLLM-instance op Europese cloud (908 GB VRAM), per uur afgerekend.

Gedeelde EU-router, pay-per-token, scale-to-zero. Dedicated GPU-deployments worden per uur afgerekend, zie prijzen.

Direct aanroepen

Drop-in vervanger voor OpenAI: wijzig alleen de base-URL en de API-key. Ook het Anthropic-formaat (/v1/messages) wordt ondersteund.

curl https://hostyourai.com/api/v1/chat/completions \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org/GLM-5-FP8",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Veelgestelde vragen

Kan ik GLM 5 FP8 in de EU draaien?

Ja. HostYourAI draait GLM 5 FP8 op GPU's in Europese datacenters via vLLM. Prompts en outputs verlaten de EU niet en er is geen Amerikaanse cloudprovider in de keten.

Is GLM 5 FP8 hosten AVG/GDPR-compliant?

Ja. Alle verwerking vindt plaats binnen de EU, er is een verwerkersovereenkomst (DPA) beschikbaar en de subprocessor-lijst is openbaar. Open-source gewichten betekenen ook: geen training op jouw data.

Wat kost GLM 5 FP8?

GLM 5 FP8 is beschikbaar op aanvraag: via de gedeelde EU-router na kort overleg, of als eigen dedicated GPU-deployment per uur. Vertel ons je use case, dan zetten we het voor je klaar.

Is de API compatibel met OpenAI?

Ja. Je gebruikt de standaard OpenAI-SDK's met een aangepaste base-URL (https://hostyourai.com/api/v1). Ook de Anthropic Messages API wordt ondersteund als drop-in.

Andere modellen van Z.AI

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GLM 5.3

GLM-5.3 uses the same base model as GLM-5.2 — every gain comes from post-training. Compared with GLM-5.2, it is much better at complex coding and long-horizon tasks:

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GLM 5.2

We're introducing GLM-5.2, our latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on a solid 1M-token context. GLM-5.2's new capabilities include: - Solid 1M Context: A solid 1M-token context that stably sustains long-horizon work - Advanced Coding with Flexible Effort: Stronger coding capabilities with multiple thinking effort levels to balance performance and latency - Improved Architecture: We propose IndexShare, which reuses the same indexer across every fou

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GLM 5.1

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GLM 5

We are launching GLM-5, targeting complex systems engineering and long-horizon agentic tasks. Scaling is still one of the most important ways to improve the intelligence efficiency of Artificial General Intelligence (AGI). Compared to GLM-4.5, GLM-5 scales from 355B parameters (32B active) to 744B parameters (40B active), and increases pre-training data from 23T to 28.5T tokens. GLM-5 also integrates DeepSeek Sparse Attention (DSA), largely reducing deployment cost while preserving long-context capacity.

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GLM 4.7 Flash

GLM-4.7-Flash is a 30B-A3B MoE model. As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.

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