Model Overview
Google · Active Model
- Long-Context
- API Available
- Vetted Benchmarks
- Production Ready
Gemini 3.1 Pro Preview Custom Tools by Google — Technical Architecture, Empirical Benchmarks & API Specs§
1. Executive Summary & Core Positioning§
Gemini 3.1 Pro Preview Custom Tools is an advanced artificial intelligence model engineered by Google. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Gemini 3.1 Pro Preview Custom Tools represents a key architectural iteration in the Google model family. First released in 2026-02-25, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.
Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Gemini 3.1 Pro Preview Custom Tools processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
2. Technical Architecture & Verified Specifications§
Official specification breakdown for Gemini 3.1 Pro Preview Custom Tools based on verified provider metadata:
- Model Name: Gemini 3.1 Pro Preview Custom Tools
- Developer / Provider: Google
- Context Window Capacity: 1,048,576 tokens (~1,398 words)
- Modality Support: Text, Code
- API Availability: Available via API Gateway
- Tool-Calling Accuracy Score: Pending Empirical Benchmark
- Time to First Token (TTFT): Varies by Host Provider
3. Benchmark Evaluations & Performance Metrics§
Gemini 3.1 Pro Preview Custom Tools undergoes standardized evaluation across key industry benchmark suites:
- MMLU (Massive Multitask Language Understanding): Evaluates multi-subject knowledge across STEM, humanities, and social sciences.
- HumanEval & SWE-bench: Assesses functional Python code synthesis and real-world software engineering bug resolution.
- GSM8K & MATH: Tests multi-step arithmetic reasoning and formal mathematical proof construction.
- Chatbot Arena ELO: Evaluates human preference, instruction following, and conversational quality against rival models.
4. Developer API & Integration Specs§
Programmatic integration for Gemini 3.1 Pro Preview Custom Tools follows standard OpenAI-compatible REST endpoints.
import os
import requests
api_key = os.getenv("MODEL_API_KEY")
url = "https://openrouter.ai/api/v1/chat/completions"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
payload = {
"model": "gemini-3-1-pro-preview-custom-tools",
"messages": [
{"role": "system", "content": "You are a senior software architect and AI system evaluator."},
{"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."}
],
"temperature": 0.1,
"max_tokens": 2048
}
response = requests.post(url, headers=headers, json=payload)
print(response.json())5. Production Use Cases & Deployment Scenarios§
5.1 Autonomous Agents & Tool Execution§
Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), Gemini 3.1 Pro Preview Custom Tools is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.
5.2 Enterprise Document Synthesis§
With its 1,048,576 tokens input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss.
5.3 Programmatic Code Generation§
Development teams utilize Gemini 3.1 Pro Preview Custom Tools for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust).
6. Token Economics & Pricing Breakdown§
Inference pricing per million tokens for Gemini 3.1 Pro Preview Custom Tools:
- Input Token Cost: $2.00 per MTok
- Output Token Cost: $12.00 per MTok
- Prompt Caching Discounts: Supported on selected API providers (up to 50% savings on repeated prompt prefixes)
- Batch Processing: Available for non-latency-sensitive bulk inference workloads
7. Comparative Specification Matrix§
| Metric / Parameter | **Gemini 3.1 Pro Preview Custom Tools** | Provider Ecosystem Baseline |
|---|---|---|
| Developer | Industry Average | |
| Context Window | 1,048,576 tokens | 128,000 tokens |
| Input Price / MTok | $2.00 | Variable |
| Output Price / MTok | $12.00 | Variable |
| API Access | Supported | Standard |
8. Frequently Asked Questions (FAQ)§
Q: What is Gemini 3.1 Pro Preview Custom Tools's context window limit?§
A: Gemini 3.1 Pro Preview Custom Tools supports an input context window of 1,048,576 tokens.
Q: What is the API pricing for Gemini 3.1 Pro Preview Custom Tools?§
A: Gemini 3.1 Pro Preview Custom Tools is priced at $2.00 per million input tokens and $12.00 per million output tokens.
Q: Is Gemini 3.1 Pro Preview Custom Tools accessible via API?§
A: Yes, Gemini 3.1 Pro Preview Custom Tools is available for programmatic integration.
- Developer
- Google✓ verified today
- Release Date
- February 25, 2026✓ verified today
- Context Window
- 1,048,576 tokens≈ 1,398 words✓ verified today
- API Access
- Publicly AvailableIntegrate via official API✓ verified today
- Input Cost
- $2.00per million tokens✓ verified today
- Output Cost
- $12.00per million tokens✓ verified today