Google · Open weights
Gemma 4 31B Agares v1
Gemma 4 31B Agares v1 is a community creative finetune for reasoning, multimodal chat, expressive writing, and roleplay.
- Reasoning
- Tools
- Vision
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- none · high
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.31
- Output
- $0.31
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- —
- Average output (7 days)
- 129 tokens
- Longer than 12% of 465 models
Side by side
Gemma 4 31B Agares v1 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemma 4 31B Agares v1GoogleThis model | Gemma 4 26B A4B CybersecurityGoogleRemove | |
|---|---|---|
| Provider | ||
| Discovery tier | Open weights | Open weights |
| Added | May 15, 2026 | Sep 19, 2026 |
| Limits | ||
| Context window | 262.14K | 262.14K |
| Max output | — | 32.77K |
| Average output | 129 tokens | 600 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.31 | $0.11Best |
| Output | $0.31Best | $0.33 |
| Cache read | — | $0.0528 |
| Performance | ||
| Request success (24h) | — | 54.2% |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Reasoning effort | none, high | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "Gemma-4-31B-Agares-v1",
"reasoning_effort": "none",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="Gemma-4-31B-Agares-v1",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
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