Google · Frontier
Gemini 3.1 Pro (Preview High)
Gemini 3.1 Pro preview high-reasoning variant.
- Reasoning
- Tools
- Vision
- Structured output
- Audio input
- Video input
- Input
- Text, Images, Video, 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)
- 1.5K tokens
- Longer than 86% of 465 models
Side by side
Gemini 3.1 Pro (Preview High) compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Gemini 3.1 Pro (Preview High)GoogleThis model | Claude Sonnet 4.6 ThinkingAnthropicRemove | |
|---|---|---|
| Provider | Anthropic | |
| Discovery tier | Frontier | Frontier |
| Added | Feb 21, 2026 | Feb 17, 2026 |
| Limits | ||
| Context window | 1.05MBest | 1M |
| Max output | 65.54K | 128KBest |
| Average output | 1.5K tokens | 598 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.00Best | $3.00 |
| Output | $12.00Best | $15.00 |
| Cache read | $0.20Best | $0.30 |
| Cache write | $0.38 | — |
| Performance | ||
| Throughput | 24.1 tok/s | 208.2 tok/sBest |
| Time to first token | 3.4 sBest | 4.3 s |
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 29.7 | 30.1Best |
| Coding Index | 68.8Best | 63.0 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | No | Yes |
| Audio input | Yes | No |
| Video input | Yes | No |
| Reasoning effort | — | low, medium, high, xhigh, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Gemini 3.1 Pro (Preview High)
- Claude Sonnet 4.6 Thinking
Intelligence Index
- Gemini 3.1 Pro (Preview High)29.7
- Claude Sonnet 4.6 Thinking30.1
Gemini 3.1 Pro (Preview High): Better than 71% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Gemini 3.1 Pro (Preview High): 68.8Top
- Claude Sonnet 4.6 Thinking: 63.0
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Gemini 3.1 Pro (Preview High): 35.4%Top
- Claude Sonnet 4.6 Thinking: 20.1%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Gemini 3.1 Pro (Preview High): 9.4%Top
- Claude Sonnet 4.6 Thinking: 3.7%
Harvey LAB-AAv1.1
Legal tasks passed in full, with no material hallucination
- Gemini 3.1 Pro (Preview High): 0.0%
- Claude Sonnet 4.6 Thinking: —
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Gemini 3.1 Pro (Preview High): 456 Elo
- Claude Sonnet 4.6 Thinking: 1,062 EloTop
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Gemini 3.1 Pro (Preview High): 791 Elo
- Claude Sonnet 4.6 Thinking: 1,233 EloTop
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Gemini 3.1 Pro (Preview High): 17.8%Top
- Claude Sonnet 4.6 Thinking: 15.8%
AA-LCRv1.1
Reasoning across long documents
- Gemini 3.1 Pro (Preview High): 82.0%Top
- Claude Sonnet 4.6 Thinking: 80.0%
MLCR-AA
Long-context reasoning over medical records
- Gemini 3.1 Pro (Preview High): 11.1%Top
- Claude Sonnet 4.6 Thinking: 7.8%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Gemini 3.1 Pro (Preview High): 47.0%Top
- Claude Sonnet 4.6 Thinking: 33.6%
GPQA Diamond
Graduate-level science questions
- Gemini 3.1 Pro (Preview High): 94.1%Top
- Claude Sonnet 4.6 Thinking: 87.5%
IFBench
Following precise output instructions
- Gemini 3.1 Pro (Preview High): 77.1%Top
- Claude Sonnet 4.6 Thinking: 56.6%
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Gemini 3.1 Pro (Preview High): 4.0%Top
- Claude Sonnet 4.6 Thinking: 3.0%
SciCode
Scientific computing in Python
- Gemini 3.1 Pro (Preview High): 58.7%Top
- Claude Sonnet 4.6 Thinking: 50.1%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Gemini 3.1 Pro (Preview High): 53.8%Top
- Claude Sonnet 4.6 Thinking: 53.0%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Gemini 3.1 Pro (Preview High): 95.6%Top
- Claude Sonnet 4.6 Thinking: 75.7%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Gemini 3.1 Pro (Preview High): 82.0%Top
- Claude Sonnet 4.6 Thinking: 80.0%
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
- 24.1 tok/s
- Faster than 15% of 250 models
- Time to first token
- 3.4 s
- Quicker than 50% of 250 models
- Prompt cache hits
- 1.1%
- About $1.98 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- 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-high",
"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-high",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Related models
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