Google

Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview AI model by Google.

#68released Jan 1, 2024·Unknown·Unknown
text128K ctx
Intelligence
74.0 #68
Top 9% tier
Output Speed
50 t/s
ITL 20.0 ms/tok
Blended price (3:1)
$2.188 /1M
In $1.25/M · Out $5/M
Context
128K
≈ 320 A4 pages · max out 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Gemini 3.1 Pro Preview
Claude Mythos Preview (#1)
Average (68)
Coding (72)Mathematics (70)Hard Science (GPQA) (71)Agentic & Tool Use (72)Knowledge (MMLU) (74)Vision / Multimodal (25)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • Cheap prompt-cache reads at $0.125/1M

Developer Quickstart & API

Set GEMINI_API_KEY first — get an API key
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.1-pro-preview:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "contents": [{"parts": [{"text": "Refactor this function for O(n) time and explain the change."}]}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Category Scores

Benchmark Results

Head-to-head Live Matchups

Live Specs & Architecture

Under the hood
  • Prompt caching supported — cached input reads at $0.125/1M tokens.
Release date
Jan 1, 2024
Parameters
Unknown
License
Unknown
Context Window
128,000 tokens
Max Output
8,192 tokens
Modalities
text
Cache Pricing
read $0.125 · write $1.5625 /1M
Reasoning
—
Input Price
$1.25/M
Output Price
$5/M
Output Speed
50 t/s
Time to First Token
—
Data Updated
Oct 26, 2026

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
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BibTeX
@misc{llmpodium2026gemini31propreview,
  title = {Benchmark Analysis and Intelligence Evaluation of Gemini 3.1 Pro Preview},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/gemini-3.1-pro-preview}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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Gemini 3.1 Pro Preview LLMPodium Score
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