Google · Open weights
Gemma 4 12B Starry Ocean
Gemma 4 12B Starry Ocean is an open-weight merge for storytelling, roleplay, and creative writing. It supports image understanding, tool calling, optional reasoning, and a 131,072-token context window.
- Reasoning
- Tools
- Vision
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- none · high
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.05
- Output
- $0.25
- Cache read
- $0.025
Reference prices as published by the model provider. API example
Specifications
- Context window
- 131.1K
- Max output
- —
- Average output (7 days)
- 233 tokens
- Longer than 25% of 473 models
Side by side
Gemma 4 12B Starry Ocean compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemma 4 12B Starry OceanGoogleThis model | Gemma 4 26B A4B CybersecurityGoogleRemove | |
|---|---|---|
| Provider | ||
| Discovery tier | Open weights | Open weights |
| Added | Oct 15, 2026 | Sep 19, 2026 |
| Limits | ||
| Context window | 131.07K | 262.14KBest |
| Max output | — | 32.77K |
| Average output | 233 tokens | 600 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.05Best | $0.11 |
| Output | $0.25Best | $0.33 |
| Cache read | $0.025Best | $0.0528 |
| Performance | ||
| Throughput | 18.1 tok/s | — |
| Time to first token | 1.8 s | — |
| Request success (24h) | 99.3%Best | 67.6% |
| 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.
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 18.1 tok/s
- Faster than 9% of 256 models
- Time to first token
- 1.8 s
- Quicker than 78% of 256 models
- Prompt cache hits
- 69.2%
- About $0.0327 per 1M input tokens with caching
- Request success (24h)
- 99.3%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
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-4-12b-it-starry-ocean",
"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-4-12b-it-starry-ocean",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
Other Google models, starting with the same family.