tokevenGemini · Mid-tier · 1,048.576K context window
Gemini 3.1 Pro Custom Tools pricing for sentiment analysis
$0.002200 per call at 500 input / 100 output tokens.
Per call
$0.002200
10K calls/mo
$22
Cache savings
90% off input
Batch savings
50% off all
Calculate your Gemini 3.1 Pro Custom Tools costs
Adjust token counts, volume, and discount toggles to model your sentiment analysis spend. Prices verified daily against provider pricing pages.
Configure your usage
Estimated cost
Quick start
Call Gemini 3.1 Pro Custom Tools with the Google Generative AI SDK:
import google.generativeai as genai
model = genai.GenerativeModel("gemini-3.1-pro-preview-customtools")
response = model.generate_content("Your prompt here")
# Cost: ~$0.002200 per call at standard rates
# Input: $2.00/MTok
# Output: $12.00/MTokHow Gemini 3.1 Pro Custom Tools compares on cost
Per-call cost for all models scoring 50+ on sentiment analysis benchmarks. Hover for details.
Cheapest viable option: GPT 5.6 Luna at $0.000220/call (90% less, 91/100 quality).
What drives sentiment analysis cost
Short text in, a label or score out: the cheapest shape an API call can take. Output pricing is irrelevant at this size. Because these run in bulk over historical data as often as in real time, the batch API discount typically applies, and the effective rate lands well below list.
For Gemini 3.1 Pro Custom Tools specifically, that means output tokens cost 6.0x more than input, at $12.00 vs $2.00 per MTok. At this use case’s 500/100 token split, output accounts for 55% of the $0.002200 per-call cost.
Complete Gemini 3.1 Pro Custom Tools pricing breakdown
Standard token rates
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $2.00 | 500 |
| Output | $12.00 | 100 |
Prompt caching: 90% off input tokens
Caching drops input cost from $2.00 to $0.20/MTok. For repeated system prompts, that saves $0.000900 per call.
Batch API: 50% off all tokens
Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.
Monthly cost projections
| Monthly volume | Cost per call | Standard monthly | Cached monthly | You save with caching |
|---|---|---|---|---|
| 10,000 calls | $0.002200 | $22 | $13 | $9 |
| 50,000 calls | $0.002200 | $110 | $65 | $45 |
| 100,000 calls | $0.002200 | $220 | $130 | $90 |
| 500,000 calls | $0.002200 | $1,100 | $650 | $450 |
| 1,000,000 calls | $0.002200 | $2,200 | $1,300 | $900 |
Gemini 3.1 Pro Custom Tools quality benchmarks for sentiment analysis
Benchmark data for sentiment analysis is pending for Gemini 3.1 Pro Custom Tools. Test against your own evaluation suite before moving to production.
Performance across all task types
Gemini 3.1 Pro Custom Tools scores by task type. Sentiment Analysis highlighted.
| Task type | Confidence score | Rank out of 72 |
|---|
Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 10 weeks old, so treat the scores as directional and validate against your own evals.
Alternative models for sentiment analysis
12 models score 80+ on sentiment analysis benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (90% less, 91/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Gemini |
|---|---|---|---|---|---|---|
| GPT 5.6 Luna | GPT | $0.20 | $1.20 | 91/100 | $0.000220 | 90% cheaper |
| Gemini 3.5 Flash-Lite | Gemini | $0.30 | $2.50 | 85/100 | $0.000400 | 82% cheaper |
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 88/100 | $0.000550 | 75% cheaper |
| Claude Haiku 4.5 | Claude | $1.00 | $5.00 | 90/100 | $0.001000 | 55% cheaper |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 92/100 | $0.001650 | 25% cheaper |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 86/100 | $0.002000 | 9% cheaper |
| GPT 5.6 Terra | GPT | $2.00 | $12.00 | 89/100 | $0.002200 | same cost |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 86/100 | $0.002200 | same cost |
| GPT 5.4 | GPT | $2.50 | $15.00 | 88/100 | $0.002750 | 25% more |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 84/100 | $0.003000 | 36% more |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 86/100 | $0.004000 | 82% more |
| GPT 5.5 | GPT | $5.00 | $30.00 | 85/100 | $0.005500 | 150% more |
About Gemini 3.1 Pro Custom Tools
Provider
Gemini
Tier
Mid-tier
Context
1,048.576K tokens
Released
Not published
Backfilled on 2026-09-23. Prices confirmed by the provider pricing page and the LiteLLM cross-check. Release date not published in a machine-readable source. Not yet benchmarked, so never recommended.
Other models from Gemini
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| Gemini 3.1 Pro | Mid-tier | $2.00 | $12.00 | 1,048.576K |
| Gemini 3.5 Flash | Fast / Budget | $1.50 | $9.00 | 1,048.576K |
| Gemini 3 Flash | Fast / Budget | $0.50 | $3.00 | 1,048.576K |
| Gemini 3.5 Flash-Lite | Fast / Budget | $0.30 | $2.50 | 1,048.576K |
| Gemini 2.5 Computer Use | Fast / Budget | $1.25 | $10.00 | 128K |
| Gemini 2.5 Flash | Fast / Budget | $0.30 | $2.50 | 1,048.576K |
| Gemini 2.5 Flash-Lite | Fast / Budget | $0.10 | $0.40 | 1,048.576K |
| Gemini 2.5 Pro | Mid-tier | $1.25 | $10.00 | 1,048.576K |
| Gemini 3.1 Flash-Lite | Fast / Budget | $0.25 | $1.50 | 1,048.576K |
| Gemini 3.6 Flash | Fast / Budget | $0.75 | $3.75 | 1,048.576K |
| Gemini 3.7 Flash | Fast / Budget | $0.75 | $3.75 | 1,048.576K |
| Gemini 3.8 Flash | Fast / Budget | $0.75 | $3.75 | 1,048.576K |
| Gemini Omni 1.1 Flash | Fast / Budget | $1.50 | $9.00 | 1,048.576K |
| Gemini Omni Flash | Fast / Budget | $1.50 | $9.00 | 1,048.576K |
| Gemini Robotics ER 2 | Fast / Budget | $1.00 | $5.00 | 131.072K |
You can compare Gemini 3.1 Pro Custom Tools head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.
Gemini 3.1 Pro Custom Tools pricing for other use cases
See how Gemini 3.1 Pro Custom Tools costs change across different workload types.
Code Generation
$0.0520/call
Unit Test Generation
$0.0660/call
SQL Generation
$0.0150/call
API Generation
$0.0780/call
Code Refactoring
$0.0560/call
Code Review
$0.0340/call
PR Review
$0.0520/call
Security Review
$0.0420/call
Bug Detection
$0.0340/call
Document Summarization
$0.0320/call
PDF Summarization
$0.0480/call
Meeting Notes
$0.0400/call
Email Summarization
$0.0120/call
Chatbot
$0.0160/call
RAG Pipeline
$0.0300/call
Customer Support Bot
$0.0180/call
FAQ Bot
$0.0126/call
Data Extraction
$0.0200/call
JSON Extraction
$0.0156/call
Invoice Parsing
$0.0112/call
Resume Parsing
$0.0146/call
Chain of Thought
$0.0660/call
Legal Analysis
$0.0680/call
Math Reasoning
$0.0390/call
Financial Analysis
$0.0640/call
Content Moderation
$0.002200/call
Categorization
$0.003400/call
Intent Detection
$0.001800/call
Copywriting
$0.0250/call
Blog Writing
$0.0980/call
Marketing Copy
$0.0376/call
Product Descriptions
$0.0190/call
Related pages
Frequently asked questions
How much does Gemini 3.1 Pro Custom Tools cost for sentiment analysis per API call?
A typical sentiment analysis call using Gemini 3.1 Pro Custom Tools costs about $0.002200 per call. This estimate uses 500 input tokens and 100 output tokens at standard rates. Standard rates are $2.00 per million input tokens and $12.00 per million output tokens.
Is Gemini 3.1 Pro Custom Tools the best model for sentiment analysis?
Our benchmark data does not yet include a sentiment analysis ranking for Gemini 3.1 Pro Custom Tools. We recommend testing it against your own evaluation criteria before production usage.
What is the cheapest model for sentiment analysis with good quality?
The most affordable model for sentiment analysis above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 91/100. Switching from Gemini 3.1 Pro Custom Tools to GPT 5.6 Luna saves about 90% per API call.
How can I reduce my Gemini 3.1 Pro Custom Tools costs for sentiment analysis?
Three strategies lower Gemini 3.1 Pro Custom Tools costs for this task type effectively. Prompt caching gives a 90% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.002200 to about $0.000110 per call.
How does Gemini 3.1 Pro Custom Tools pricing compare to other Gemini models?
Gemini has 15 other models alongside Gemini 3.1 Pro Custom Tools today: Gemini 3.1 Pro at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.5 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini 3 Flash at $0.50/$3.00 per million tokens (fast / budget), Gemini 3.5 Flash-Lite at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Computer Use at $1.25/$10.00 per million tokens (fast / budget), Gemini 2.5 Flash at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Flash-Lite at $0.10/$0.40 per million tokens (fast / budget), Gemini 2.5 Pro at $1.25/$10.00 per million tokens (mid-tier), Gemini 3.1 Flash-Lite at $0.25/$1.50 per million tokens (fast / budget), Gemini 3.6 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.7 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.8 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini Omni 1.1 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Omni Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Robotics ER 2 at $1.00/$5.00 per million tokens (fast / budget). The right choice depends on whether your sentiment analysis workload prioritizes quality, cost, or speed.
What context window does Gemini 3.1 Pro Custom Tools support?
Gemini 3.1 Pro Custom Tools supports a context window of 1,048.576K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For sentiment analysis, typical calls use 500 input and 100 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.
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