Model introduction
Gemini 3.1 Pro is Google's flagship multimodal model for complex reasoning, code, and long-form generation, with 1M context and 64K output.
Model capabilities
Specifications come from the cited model material. Catalog tags help identify access features; use the source documentation for exact limits.
Verified specifications
- Official positioning
- Flagship complex reasoning and multimodal model
- Context window
- 1,000,000 tokens
- Maximum output
- 64,000 tokens
- Input / output
- Text, image, audio, video, PDF / Text
Sources: B.AI Gemini 3.1 Pro model guide
Model pricing and access
Prices are read directly from the MoleAPI console catalog and shown by current billing group and context tier.
Your final charge follows the account group shown in the console.
Live pricing source
Pricing table
USD / 1M tokensStandardx1defaultInput $2 · Output $12
Input
$2 / 1M tokens
Output
$12 / 1M tokens
Cache read
$0.2 / 1M tokens
Discountx0.8discountInput $1.6 · Output $9.6
Input
$1.6 / 1M tokens
Output
$9.6 / 1M tokens
Cache read
$0.16 / 1M tokens
Access protocols
Available billing groups: Standard, Discount
- openai
- POST
- /v1/chat/completions
- openai-response
- POST
- /v1/responses
- anthropic
- POST
- /v1/messages
- gemini
- POST
- /v1beta/models/{model}:generateContent
Complete model guide
Prepared from vendor sources and independently reviewed. · 2026-07-28
Positioning and core capabilities
Gemini 3.1 Pro is Google’s February 2026 flagship Gemini 3-series model for complex tasks, built on Gemini 3 Pro and positioned for natively multimodal reasoning. [3] It accepts text, images, audio, and video inputs, including entire code repositories, and returns text. [3]
Capabilities and specifications
Gemini 3.1 Pro combines multimodal input processing with a long context window for complex reasoning, coding, and analysis workloads. [3]
| Specification | Value |
|---|---|
| Input modalities | Text, images, audio, and video [3] |
| Output modality | Text [3] |
| Context window | 1,000,000 tokens [3] |
| Maximum output | 64,000 tokens [3] |
| Model foundation | Gemini 3 Pro [3] |
Google’s evaluation table reports a 77.1% score for Gemini 3.1 Pro Thinking (High) on ARC-AGI-2, compared with 31.1% for Gemini 3 Pro Thinking (High), and a 68.5% score on Terminal-Bench 2.0, compared with 56.9%. [3] Google also reports 80.6% on SWE-Bench Verified, an Elo score of 2,887 on LiveCodeBench Pro, and MRCR v2 results of 84.9% at 128K average context and 26.3% on the reported 1M pointwise setting. [3]
Use cases
Google identifies Gemini 3.1 Pro for agentic performance, advanced coding, algorithm development, and long-context or multimodal understanding. [3]
Its input support can accommodate analysis that combines written material with visual, audio, or video content, while its repository support targets codebase-level development and software-engineering tasks. [3] Its reported benchmark results also cover abstract reasoning, terminal-based tasks, software issue resolution, coding, search, and long-context retrieval. [3]
Material limitations
Gemini 3.1 Pro produces text outputs, including when processing multimodal inputs. [3] Its generated response is capped at 64,000 tokens, while the 1,000,000-token limit applies to context. [3]
Sources
Code examples
These examples use MoleAPI's Responses API endpoint and run after you replace the API key.
curl https://api.moleapi.com/v1/responses \
-H "Authorization: Bearer $MOLEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.1-pro",
"input": "Explain this problem step by step."
}'Frequently asked questions
How is gemini-3.1-pro priced?
This page reads prices from the MoleAPI console API and updates with model prices, context tiers, and account groups.
How can I access gemini-3.1-pro?
Protocols and endpoints come from the supported_endpoint_types field in the MoleAPI model catalog.
How do I switch an existing project to gemini-3.1-pro?
Keep the MoleAPI API address and key, replace the model parameter with the model ID on this page, then check protocol-specific parameter differences.
Where do the gemini-3.1-pro model details come from?
Capabilities and limitations are checked against B.AI and the other cited pages. Pricing and available protocols come only from the MoleAPI console.