EVREN / evren/gemma-4-31b
Gemma 4 31B - access through LLMTR
Gemma 4 31B on EVREN is a 30.7-billion-parameter dense model with a 256,000-token context window, accepting text and image input and returning text. EVREN positions it as its everyday low-latency model for fast chat and document reading: image understanding, object detection with bounding boxes, screen and interface interpretation, chart reading and handwriting recognition. Requests are served with your own EVREN API key, which you register in Settings; LLMTR charges nothing for them and the model runs on infrastructure hosted in Turkey.
Technical specifications
| Canonical ID | evren/gemma-4-31b |
|---|---|
| Provider | EVREN |
| Context window | 256,000 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image |
Pricing
An 8% 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 | Not available |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | Not available |
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":"evren/gemma-4-31b","messages":[{"role":"user","content":"Hello"}]}'Guides about this model
- Using the EVREN API through LLMTR: your own key, one endpoint - You do not have to go to EVREN to use EVREN. Register your key with LLMTR once and call the model from the usual endpoint; LLMTR does not charge for these requests and your EVREN key never travels in them.
- Turkey-hosted LLM models: what sits beside EVREN in the catalog - EVREN is not the only Turkey-hosted option. This is every Turkey row in the catalog in one table: which context, which price, which input type, and which rows declare tool calling.
- Moving from an EVREN row to a global model: one field changes - Moving from an EVREN row to a global model needs no code change: the endpoint, the header and the body schema stay the same and only the model id differs. How an agent verifies capability before calling is read from the same place.
- What is EVREN? How to use SAYZEK's LLM API - Explains the EVREN LLM Inference Service with sources: who runs it, that it is free until 1 November, its eleven-model list, its OpenAI compatibility and the setup path from e-Devlet login to a first chat request.
- Logging in to EVREN with e-Devlet: your API key is tied to your identity - Covers the practical consequences of an API key living in an account opened with e-Devlet: who owns the key, what happens when it is shared, and what to watch for in team and company use.
- Does EVREN keep logs? Terms of use, records and data privacy - Covers what is and is not publicly known about EVREN's data and logging side, and what to check before sending sensitive data. It states just as openly what LLMTR does and does not keep.
- EVREN quota and credit system: free, but metered - Explains, with sources, the meters that run on EVREN even during the free period: a sliding-window token cap, a credit balance, per-request charge state, the cooldown on consecutive requests and how auto mode affects consumption.
- An EVREN alternative: the same OpenAI code, a two-line switch to LLMTR - Compares EVREN and LLMTR through the same OpenAI SDK code: the two lines that change, the LLMTR catalog counterparts of EVREN's models and their prices, context differences on the same models, and when each service makes sense.
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