Google · Open weights
Gemma 4 31B Split-Untied
Blazed-Forge's Split-Untied is a text-only Gemma 4 31B community finetune with an untied BF16 output head, built for creative writing, roleplay, expressive dialogue, and tool use.
- Tools
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.10
- Output
- $0.30
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- 32.8K
Side by side
Gemma 4 31B Split-Untied compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemma 4 31B Split-UntiedGoogleThis model | LFM2.5 2.6BliquidRemove | |
|---|---|---|
| Provider | liquid | |
| Discovery tier | Open weights | Open weights |
| Added | Sep 17, 2026 | Aug 12, 2026 |
| Limits | ||
| Context window | 262.14KBest | 128K |
| Max output | 32.77K | 32.77K |
| Average output | — | 459 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.10 | $0.10 |
| Output | $0.30 | $0.20Best |
| Performance | ||
| Request success (24h) | 99.7% | — |
| Benchmark indexes | ||
| Intelligence Index | — | 8.4 |
| Coding Index | — | 7.7 |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Structured output | No | Yes |
| Reasoning effort | — | minimal, low, medium, high, xhigh |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Gemma 4 31B Split-Untied
- LFM2.5 2.6B
Intelligence Index
- Gemma 4 31B Split-Untied—
- LFM2.5 2.6B8.4
Indexes
Coding Index
Composite of the coding evaluations
- Gemma 4 31B Split-Untied: —
- LFM2.5 2.6B: 7.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Gemma 4 31B Split-Untied: —
- LFM2.5 2.6B: 5.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Gemma 4 31B Split-Untied: —
- LFM2.5 2.6B: 6.2%
GPQA Diamond
Graduate-level science questions
- Gemma 4 31B Split-Untied: —
- LFM2.5 2.6B: 55.8%
Coding
SciCode
Scientific computing in Python
- Gemma 4 31B Split-Untied: —
- LFM2.5 2.6B: 14.4%
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Gemma 4 31B Split-Untied: —
- LFM2.5 2.6B: 5.7%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
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.
- Prompt cache hits
- 0.0%
- Request success (24h)
- 99.7%
- 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": "google/gemma4-31b-splituntied",
"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="google/gemma4-31b-splituntied",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
Other Google models, starting with the same family.
