Google: Gemini 3.1 Pro Preview
The Google Gemini 3.1 Pro Preview is an AI model that supports input through various modalities including audio, file, image, text, and video. It also allows for reasoning and tool support. The model has a context length of 1048576 tokens and a maximum completion token count of 65536. This model may be worth considering for those who need to process large amounts of diverse data. At $2.0 per million input tokens and $12.0 per million output tokens, it is positioned as a premium offering. Its blended benchmark score of 69.4 across two independent benchmarks suggests that it performs competitively in certain areas, although its coverage on specific metrics may be limited due to only two available scores.
Benchmark results
Independent, published benchmarks. Blended score 66.5 across 2 benchmarks, last refreshed 2026-09-27. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 49.0 |
| EQ-Bench | emotional understanding in dialogue | 74.3 |
- Model ID
- google/gemini-3.1-pro-preview
- Vendor
- Released
- February 2026
- Tokenizer
- Gemini
- Input Modalities
- audio, file, image, text, video
- Output Modalities
- text
- Max Output
- 65,536 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- ✓ accepts audio
- Moderated
- no
What it costs in practice
Computed from the current $2.00/M input and $12.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.08 |
| Classify 1,000 customer emails | 500k in / 50k out | $1.60 |
| A month of a busy support chatbot | 5M in / 2M out | $34.00 |
Strong choice for
Category rankings
Where Google: Gemini 3.1 Pro Preview places across the 39 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #1 | Audio SummarizationVoice · of 25 ranked | 153 |
| #1 | Video SummarizationVideo · of 25 ranked | 153 |
| #14 | Long-Document SummarizationWriting · of 25 ranked | 154 |
| #14 | History TutoringEducation · of 25 ranked | 138 |
| #14 | Long-Context Q&AAgents · of 25 ranked | 149 |
| #15 | Code DocumentationCode · of 25 ranked | 139 |
| #15 | Legal ResearchProfessional · of 25 ranked | 157 |
| #15 | Scientific ResearchProfessional · of 25 ranked | 157 |
| #15 | Fiction CollaboratorPersonal · of 25 ranked | 157 |
| #15 | Literature ReviewResearch · of 25 ranked | 157 |
| #16 | Code RefactoringCode · of 25 ranked | 153 |
| #16 | RAG PipelinesAgents · of 25 ranked | 153 |
| #17 | Transcript CleanupWriting · of 25 ranked | 142 |
| #18 | Creative WritingWriting · of 25 ranked | 146 |
| #18 | Screenwriting & DialogWriting · of 25 ranked | 146 |
| #18 | Academic WritingWriting · of 25 ranked | 146 |
| #18 | Legal DraftingProfessional · of 25 ranked | 146 |
| #18 | RFP ResponseBusiness · of 25 ranked | 157 |
| #18 | OKRs & Strategic PlanningBusiness · of 25 ranked | 146 |
| #18 | Character RoleplayPersonal · of 25 ranked | 142 |
| #18 | Math ProofsResearch · of 25 ranked | 146 |
| #19 | Contract ReviewProfessional · of 25 ranked | 161 |
| #20 | Code ReviewCode · of 25 ranked | 150 |
| #20 | Bug FixingCode · of 25 ranked | 154 |
| #20 | ETL ScriptingData · of 25 ranked | 142 |
| #20 | Medical Note SummarizationProfessional · of 25 ranked | 142 |
| #20 | Essay GradingEducation · of 25 ranked | 150 |
| #20 | Scientific CodingResearch · of 25 ranked | 154 |
| #21 | CI/CD PipelinesCode · of 25 ranked | 131 |
| #21 | Blog Post WritingWriting · of 25 ranked | 131 |
| #21 | Physics TutoringEducation · of 25 ranked | 135 |
| #21 | Trip PlanningPersonal · of 25 ranked | 131 |
| #22 | Agent WorkflowsAgents · of 25 ranked | 158 |
| #22 | Coding AgentsAgents · of 25 ranked | 158 |
| #23 | Unit Test GenerationCode · of 25 ranked | 135 |
| #23 | Meeting NotesBusiness · of 25 ranked | 141 |
| #24 | OCR / Document ParsingData · of 25 ranked | 135 |
| #24 | Table Extraction from PDFsData · of 25 ranked | 135 |
| #25 | SQL GenerationCode · of 25 ranked | 143 |
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Quick answers
- How much does Google: Gemini 3.1 Pro Preview cost?
- $2.00 per million input tokens and $12.00 per million output tokens.
- What is Google: Gemini 3.1 Pro Preview's context window?
- 1,048,576 tokens, roughly 1,572 pages of text in a single request.
- Does Google: Gemini 3.1 Pro Preview support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Google: Gemini 3.1 Pro Preview process images?
- Yes, it accepts image input.