Gemini 3.1 Pro Preview
google/gemini-3.1-pro-preview- Family · Gemini 3 Pro
- Released 19 Feb 2026
- Audio · File · Image · Text · Video → Text
- Reasoning · adjustable
- Tools · JSON · Vision
Spec & list price
Context1M
Max output64K
Input / 1M$2.00
Output / 1M$12.006× input
Scores · standing
Intelligence29.7#67/490
Coding68.8#29/196
Usage
Tokens / day17.6B▼ 17% 7d
Usage rank#81
Requests / day951.8K
Tool calls / req0.10
Per request · 30 days
Avg input9.8K0.7× median
Avg output1.3K1.9× median
Cache hit31%0.4× median
Reasoning share75%1.3× median
Tool-call failures2.3%1.2× median
Consumption
Peak 39.2B 7 OctLow 7.3B 1 NovRank today #81
News & trends
0 mentions this week ▼ 100%this model · videos, posts, articles · 30 days
Trending · 14 days · Gemini 3 Pro family
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- @ArtificialAnlys on X32.2K views
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News · latest from Google
- Google's Gemini 4 Carbon edges Claude Opus 5.5, claims fewest hallucinationstomshardware.com · 3 Nov
- What Google Cloud announced in AI this monthGoogle Cloud · 2 Nov
- Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v529 Oct
- Gemini 4 Carbon (High) Scores 59 on Artificial Analysis v528 Oct
Benchmarks
bar = share of the top score · Benchmark data: Artificial AnalysisSpeed · median across 6 providers, latest day
Output speed#89/33188 tok/s1.4× faster than median
Fastest provider156 tok/sbest of 6 providers
First token#2903.44 s3.2× longer than median
First answer token#4812 sthinking included
#6 cheapest of 12 with a similar score
Value
Intelligence Index
Blended price per 1M tokens (log)
Family progress
Intelligence Index
- Family releases29.7
Technical details
- Reasoning
- on · medium
- Tokenizer
- Gemini
- Moderation
- none
Reasoning effort
- high
- medium · default
- low
Request parameters 12
- tools
- tool_choice
- response_format
- structured_outputs
- reasoning
- reasoning_effort
- include_reasoning
- temperature
- top_p
- max_tokens
+2 more
- stop
- seed
Interesting facts
- Less output room than similar models (65.5K against a 128.0K median).
- Released 257 days ago, the newest of 2 Gemini 3 Pro models.
When to use
Best for
- Hard science and reasoning questions
- Agentic coding and terminal workflows
- Tool-calling agents that follow detailed instructions
- Analysis of very long documents and videos
Think twice for
- High-volume simple chat (Flash tiers cost less)
- Production use that needs stable behavior (preview)
- Self-hosting (closed weights)
Research papers
- DynaWeave: Learning to Adapt through Dynamic Scenario Synthesis21 Oct
- Twenty Days Later: A Pre-Registered Test of History-Based Forecasts of Brand Mentions in Gemini Answers14 Oct
- MathVis: Can AI Reason through Drawing? A Benchmark for Mathematical Figure Generation9 Oct
- From Intent to Action: Benchmarking LLM Safety in Vehicle Voice Command Authorization17 Sep
- REFINE: A Multi-Agent LLM Approach for Evidence-Guided Code Refactoring21 Aug
- Benchmarking Frontier Text-to-Image Models on Image-Description Prompts15 Aug
- PolyComp: A Polycube-based Benchmark for Compositional 3D Spatial Reasoning in Multimodal Models13 Aug
- How Closely Do LLM Reviews Align with Human Peer Review?4 Aug
Same family
Gemini 3 Pro- 28.0
Alternatives
other vendors · similar capability- T25.0
- 30.1
- 31.9
- 30.4
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