Gemma 4 31B with Jev
Gemma 4 31B is a model from Google, released 2026-04-02. It costs $0.090 per million input tokens and $0.340 per million output tokens, reads up to 262K tokens of context, and writes up to 16,384 tokens in one reply. Through llm11, set model to google/gemma-4-31b-it.
- Input price
- $0.090 / 1M
- Output price
- $0.340 / 1M
- Context window
- 262K tokens
- Max output
- 16K tokens
- Cached input
- $0.050 / 1M
- Released
- 2026-04-02
- Accepts
- image, text, video
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 82% of the 332 priced models we can call cost more.
Using Gemma 4 31B with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Gemma 4 31B does the answering when Jev sends it work, or when you name it yourself. Gemma 4 31B falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
Jev is new, so we have not published results for Gemma 4 31B with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00011 | $0.113 |
| Question over retrieved documents | 4,000 / 500 | $0.00053 | $0.530 |
| Long document summary | 30,000 / 1,000 | $0.00304 | $3.04 |
Cheaper models to try
The catalogue has no benchmark score for Gemma 4 31B, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Mistral Ministral 3 8B 2512 | $0.150 | $0.150 | 262K | |
| Mistral Voxtral Small 24B 2507 | $0.100 | $0.300 | 33K | |
| Qwen Qwen3 14B | $0.120 | $0.240 | 131K | |
| Meta Llama 4 Scout | $0.100 | $0.300 | 1.31M |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="google/gemma-4-31b-it",
messages=[{"role": "user", "content": "Hello"}],
)More from Google
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Gemini 3.8 Flash | $0.750 | $3.75 | 1.05M | |
| Gemini 3.7 Flash | $0.750 | $3.75 | 1.05M | |
| Gemini 3.5 Flash Lite | $0.300 | $2.50 | 1.05M | |
| Gemini 3.6 Flash | $0.750 | $3.75 | 1.05M | |
| Gemini 3.5 Flash | $1.50 | $9.00 | 1.05M | |
| Gemini 3.1 Flash Lite | $0.250 | $1.50 | 1.05M |
Questions
- What is Gemma 4 31B with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Gemma 4 31B does the answering when Jev sends it work, or when you name it yourself. Gemma 4 31B falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Gemma 4 31B a System One model?
- No. Gemma 4 31B answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Gemma 4 31B cost?
- $0.090 per million input tokens and $0.340 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00053, so a thousand of them is about $0.530. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Gemma 4 31B context window?
- 262,144 tokens, with up to 16,384 tokens in a single reply.
- Does Gemma 4 31B support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Gemma 4 31B through llm11?
- Yes. Set model to google/gemma-4-31b-it on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Gemma 4 31B?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Gemma 4 31B falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
- What is a cheaper alternative to Gemma 4 31B?
- Nearest in price and below it: Mistral Ministral 3 8B 2512 at $0.150 in and $0.150 out, Mistral Voxtral Small 24B 2507 at $0.100 in and $0.300 out and Qwen Qwen3 14B at $0.120 in and $0.240 out. The catalogue has no benchmark score for Gemma 4 31B, so this is a price ordering. It does not claim these answer as well.