Model garden Router · beschikbaar Dedicated · beschikbaar

functiongemma 270m

Direct via de EU-router of als dedicated GPU-deployment. Data blijft in Europa.

functiongemma 270m is een open-source taalmodel van Google, gehost op Europese GPU's via een OpenAI-compatibele API.

functiongemma-270m vLLM ready
text->text · google · EU-hosted
Parameters
Contextvenster
16GB
Minimale VRAM
POST /api/v1/chat/completions 200 OK

Specificaties

Minimale VRAM 16 GB
Licentie open-weights
Modaliteit text->text
Uitgever google ↗

Prijzen

Gedeelde router · per token
€0.05
Input (per 1M tokens)
€0.10
Output (per 1M tokens)
Dedicated GPU · per uur
vanaf €1,16 per uur
Eigen vLLM-instance op Europese cloud (16 GB VRAM), per uur afgerekend.

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

✓ Werkend geverifieerd op 16-07-2026, respons in 1198 ms op onze EU-infrastructuur.

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": "functiongemma-270m",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Veelgestelde vragen

Kan ik functiongemma 270m in de EU draaien?

Ja. HostYourAI draait functiongemma 270m 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 functiongemma 270m 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 functiongemma 270m?

Via de gedeelde EU-router betaal je €0.05 per miljoen input-tokens en €0.10 per miljoen output-tokens, zonder vaste kosten. Voor hoge volumes of isolatie kun je functiongemma 270m ook als dedicated GPU-instance per uur draaien.

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 Google

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[!Note] This model card is for the new versions of the Gemma 4 family optimized with Quantization-Aware Training (QAT), which allows preserving similar quality to bfloat16 while dramatically reducing the memory requirements to load the model. Four versions of the QAT checkpoints are available: Unquantized QAT checkpoints (Q40): Half-precision weights extracted from the QAT pipeline, ideal for custom downstream compilation and research. Available for Gemma 4 E2B, E4B, 12B, 26B A4B, and 31B, and their drafter models. GGUF (Q40): Ready-to-deploy formats for broad ecosystem compatibility. Availabl

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Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.

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gemma 4 26B A4B

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.

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gemma 4 26B A4B it

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.

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