LLMTR / llmtr/medgemma-4b
MedGemma 4B - access through LLMTR
LLMTR MedGemma 4B is hosted in Turkey and positioned for medical text plus single-image understanding from base64 data URLs; remote image URLs are not supported. The MedGemma multimodal family uses a SigLIP image encoder pre-trained on de-identified medical imagery such as chest X-rays, dermatology, ophthalmology, and histopathology, while its language component is trained on medical text, QA, and medical image/data sources. Outputs are not intended to directly inform diagnosis, treatment, or patient management without independent clinical verification.
Technical specifications
| Canonical ID | llmtr/medgemma-4b |
|---|---|
| Provider | LLMTR |
| Context window | 8,192 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image |
Pricing
A 6% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $3.00 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $5.00 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions \
-H "Authorization: Bearer llmtr-your_key" \
-H "Content-Type: application/json" \
-d '{"model":"llmtr/medgemma-4b","messages":[{"role":"user","content":"Hello"}]}'
Related models
- Gemma 4 llmtr/gemma-4
- Qwen 3.6 35B-A3B llmtr/qwen3-6-35b
- Trendyol 7B llmtr/trendyol-7b
- Magibu 11B v8 llmtr/magibu-11b-v8
- Sincap llmtr/sincap
- EmbeddingGemma 300M llmtr/embeddinggemma-300m
- GPT-5.5 openai/gpt-5.5
- GPT-5.4 openai/gpt-5.4