Gemini 3.1 Pro Preview
Google • LLM
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
Specifications
Context Window
1.0M tokens
Input Price/1M
$2.00
Output Price/1M
$12.00
Parameters
—
Speed
123 tok/s
Latency (TTFT)
22.0s
Max Output
66K tokens
Benchmarks
Gemini 3.1 Pro Preview results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 54.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 76.5 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Coding Index | 68.8 | 100.0 | Artificial Analysis official API |
| SciCode | 59.0 | 100.0 | — |
Data Analysis
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 78.5 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Language
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 85.4 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 73.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Math | 91.0 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LMArena Elo | 1485.0 | 2000.0 | Crowdsourced blind pairwise comparisons |
| LiveBench Global | 79.9 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Intelligence Index | 46.5 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 94.0 | 100.0 | Artificial Analysis official API |
| LiveBench Reasoning | 84.0 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| IFBench | 77.0 | 100.0 | — |
| HLE | 45.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 96.0 | 100.0 | — |
Information
- Release date
- February 19, 2026
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ✅ Supported
Full Analysis: Gemini 3.1 Pro Preview
What is Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview is an AI model developed by Google, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Google's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Gemini 3.1 Pro Preview is usage-based, priced at $2/1M input tokens and $12/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Gemini 3.1 Pro Preview was evaluated on 16 different benchmarks, covering categories like Agentic, Coding, Data Analysis, Language, Long Context, Math, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Gemini 3.1 Pro Preview is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Gemini 3.1 Pro Preview competes directly with similarly capable models. Key competitors include GPT (OpenAI), Claude (Anthropic), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Comparisons with Gemini 3.1 Pro Preview
Frequently Asked Questions
What is Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
How much does Gemini 3.1 Pro Preview cost?
Gemini 3.1 Pro Preview costs $2/1M input tokens and $12/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Gemini 3.1 Pro Preview compare with other models?
In available benchmarks, Gemini 3.1 Pro Preview scored: Terminal-Bench Hard: 54/100, LiveBench Coding: 76.45/100, AA Coding Index: 68.8/100. See the full table above for a detailed comparison.
Is Gemini 3.1 Pro Preview open source?
No, Gemini 3.1 Pro Preview is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Gemini 3.1 Pro Preview best for?
Gemini 3.1 Pro Preview excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: July 17, 2026 • View methodology →