Google · Frontier
Gemini 3.1 Pro (Preview Low)
Gemini 3.1 Pro preview low-reasoning variant.
- Reasoning
- Tools
- Vision
- Structured output
- Audio input
- Input
- Text, Images, Audio
- Output
- Text
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $2.00
- Output
- $12.00
- Cache read
- $0.20
- Cache write
- $0.38
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 65.5K
- Average output (7 days)
- 1.6K tokens
- Longer than 87% of 465 models
Side by side
Gemini 3.1 Pro (Preview Low) compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemini 3.1 Pro (Preview Low)GoogleThis model | Gemma 4 26B A4B Chimera X HereticGoogleRemove | |
|---|---|---|
| Provider | ||
| Discovery tier | Frontier | Open weights |
| Added | Feb 21, 2026 | Oct 8, 2026 |
| Limits | ||
| Context window | 1.05MBest | 262.14K |
| Max output | 65.54KBest | 32.77K |
| Average output | 1.6K tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $2.00 | $0.12Best |
| Output | $12.00 | $0.38Best |
| Cache read | $0.20 | $0.06Best |
| Cache write | $0.38 | — |
| Performance | ||
| Throughput | 83.1 tok/s | — |
| Time to first token | 5.3 s | — |
| Request success (24h) | 95.0% | 97.6%Best |
| Benchmark indexes | ||
| Intelligence Index | 29.7 | — |
| Coding Index | 68.8 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | No |
| Audio input | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Gemini 3.1 Pro (Preview Low)
- Gemma 4 26B A4B Chimera X Heretic
Intelligence Index
- Gemini 3.1 Pro (Preview Low)29.7
- Gemma 4 26B A4B Chimera X Heretic—
Gemini 3.1 Pro (Preview Low): Better than 71% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Gemini 3.1 Pro (Preview Low): 68.8
- Gemma 4 26B A4B Chimera X Heretic: —
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Gemini 3.1 Pro (Preview Low): 35.4%
- Gemma 4 26B A4B Chimera X Heretic: —
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Gemini 3.1 Pro (Preview Low): 9.4%
- Gemma 4 26B A4B Chimera X Heretic: —
Harvey LAB-AAv1.1
Legal tasks passed in full, with no material hallucination
- Gemini 3.1 Pro (Preview Low): 0.0%
- Gemma 4 26B A4B Chimera X Heretic: —
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Gemini 3.1 Pro (Preview Low): 456 Elo
- Gemma 4 26B A4B Chimera X Heretic: —
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Gemini 3.1 Pro (Preview Low): 791 Elo
- Gemma 4 26B A4B Chimera X Heretic: —
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Gemini 3.1 Pro (Preview Low): 17.8%
- Gemma 4 26B A4B Chimera X Heretic: —
AA-LCRv1.1
Reasoning across long documents
- Gemini 3.1 Pro (Preview Low): 82.0%
- Gemma 4 26B A4B Chimera X Heretic: —
MLCR-AA
Long-context reasoning over medical records
- Gemini 3.1 Pro (Preview Low): 11.1%
- Gemma 4 26B A4B Chimera X Heretic: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Gemini 3.1 Pro (Preview Low): 47.0%
- Gemma 4 26B A4B Chimera X Heretic: —
GPQA Diamond
Graduate-level science questions
- Gemini 3.1 Pro (Preview Low): 94.1%
- Gemma 4 26B A4B Chimera X Heretic: —
IFBench
Following precise output instructions
- Gemini 3.1 Pro (Preview Low): 77.1%
- Gemma 4 26B A4B Chimera X Heretic: —
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Gemini 3.1 Pro (Preview Low): 4.0%
- Gemma 4 26B A4B Chimera X Heretic: —
SciCode
Scientific computing in Python
- Gemini 3.1 Pro (Preview Low): 58.7%
- Gemma 4 26B A4B Chimera X Heretic: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Gemini 3.1 Pro (Preview Low): 53.8%
- Gemma 4 26B A4B Chimera X Heretic: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- Gemini 3.1 Pro (Preview Low): 95.6%
- Gemma 4 26B A4B Chimera X Heretic: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Gemini 3.1 Pro (Preview Low): 82.0%
- Gemma 4 26B A4B Chimera X Heretic: —
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.
- Throughput
- 83.1 tok/s
- Faster than 55% of 250 models
- Time to first token
- 5.3 s
- Quicker than 31% of 250 models
- Prompt cache hits
- 0.0%
- About $2.00 per 1M input tokens with caching
- Request success (24h)
- 95.0%
- 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/gemini-3.1-pro-preview-low",
"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/gemini-3.1-pro-preview-low",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
Other Google models, starting with the same family.