tokevenGemini · Mid-tier · 1.0M context window
Gemini 3.1 Pro pricing for legal analysis
$0.0680 per call at 10,000 input / 4,000 output tokens.
Per call
$0.0680
10K calls/mo
$680
Cache savings
90% off input
Batch savings
50% off all
Calculate your Gemini 3.1 Pro costs
Adjust token counts, volume, and discount toggles to model your legal analysis spend. Prices verified daily against provider pricing pages.
Configure your usage
Estimated cost
Quick start
Call Gemini 3.1 Pro with the Google Generative AI SDK:
import google.generativeai as genai
model = genai.GenerativeModel("gemini-3.1-pro")
response = model.generate_content("Your prompt here")
# Cost: ~$0.0680 per call at standard rates
# Input: $2.00/MTok
# Output: $12.00/MTokHow Gemini 3.1 Pro compares on cost
Per-call cost for all models scoring 50+ on legal analysis benchmarks. Hover for details.
Cheapest viable option: GPT 5.6 Luna at $0.006800/call (90% less, 86/100 quality).
What drives legal analysis cost
Legal work is heavy on both sides: long source documents in, detailed analysis out. It is also the case where accuracy is worth the most, so the cheapest-viable-model logic that works for classification does not apply. Long contracts frequently cross long-context pricing thresholds, which can re-rate the entire request rather than just the excess.
For Gemini 3.1 Pro specifically, that means output tokens cost 6.0x more than input, at $12.00 vs $2.00 per MTok. At this use case’s 10,000/4,000 token split, output accounts for 71% of the $0.0680 per-call cost.
Complete Gemini 3.1 Pro pricing breakdown
Standard token rates
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $2.00 | 10,000 |
| Output | $12.00 | 4,000 |
Prompt caching: 90% off input tokens
Caching drops input cost from $2.00 to $0.20/MTok. For repeated system prompts, that saves $0.0180 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 | $0.0680 | $680 | $500 | $180 |
| 50,000 calls | $0.0680 | $3,400 | $2,500 | $900 |
| 100,000 calls | $0.0680 | $6,800 | $5,000 | $1,800 |
| 500,000 calls | $0.0680 | $34,000 | $25,000 | $9,000 |
| 1,000,000 calls | $0.0680 | $68,000 | $50,000 | $18,000 |
Gemini 3.1 Pro quality benchmarks for legal analysis
Gemini 3.1 Pro is a solid pick for legal analysis
Scores 84/100 (rank #22 of 88). Good balance of quality and cost for legal analysis.
Top-ranked: GPT 6 Astra (93/100) at $0.3000/call
Performance across all task types
Gemini 3.1 Pro scores by task type. Legal Analysis highlighted.
| Task type | Confidence score | Rank out of 88 |
|---|---|---|
| Q&A | 87/100 | #4 |
| Classification | 86/100 | #3 |
| Code Review | 84/100 | #4 |
| Reasoning(current page) | 84/100 | #22 |
| Summarization | 80/100 | #2 |
| Creative Writing | 77/100 | #7 |
| Extraction | 75/100 | #5 |
| Code Generation | 57/100 | #24 |
Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.
Alternative models for legal analysis
21 models score 80+ on legal analysis benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (90% less, 86/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Gemini |
|---|---|---|---|---|---|---|
| GPT 5.6 Luna | GPT | $0.20 | $1.20 | 86/100 | $0.006800 | 90% cheaper |
| Gemini 3.6 Flash | Gemini | $0.75 | $3.75 | 85/100 | $0.0225 | 67% cheaper |
| Gemini 3.7 Flash | Gemini | $0.75 | $3.75 | 88/100 | $0.0225 | 67% cheaper |
| Gemini 3.8 Flash | Gemini | $0.75 | $3.75 | 89/100 | $0.0225 | 67% cheaper |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 89/100 | $0.0600 | 12% cheaper |
| GPT 5.6 Terra | GPT | $2.00 | $12.00 | 91/100 | $0.0680 | same cost |
| GPT 6 Sol | GPT | $2.00 | $10.00 | 89/100 | $0.0600 | 12% cheaper |
| Grok 4.6 | Grok | $2.00 | $6.00 | 91/100 | $0.0440 | 35% cheaper |
| Grok 4.5 | Grok | $2.00 | $6.00 | 87/100 | $0.0440 | 35% cheaper |
| GPT 5.4 | GPT | $2.50 | $15.00 | 88/100 | $0.0850 | 25% more |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 85/100 | $0.0900 | 32% more |
| Claude Opus 5.5 | Claude | $4.00 | $20.00 | 92/100 | $0.1200 | 76% more |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 92/100 | $0.1200 | 76% more |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 89/100 | $0.1500 | 121% more |
| Claude Opus 5 | Claude | $5.00 | $25.00 | 91/100 | $0.1500 | 121% more |
| Claude Opus 4.7 | Claude | $5.00 | $25.00 | 87/100 | $0.1500 | 121% more |
| Claude Opus 4.6 | Claude | $5.00 | $25.00 | 89/100 | $0.1500 | 121% more |
| GPT 5.5 | GPT | $5.00 | $30.00 | 90/100 | $0.1700 | 150% more |
| Claude Fable 5.1 | Claude | $10.00 | $50.00 | 92/100 | $0.3000 | 341% more |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 90/100 | $0.3000 | 341% more |
| GPT 6 Astra | GPT | $10.00 | $50.00 | 93/100 | $0.3000 | 341% more |
About Gemini 3.1 Pro
Provider
Gemini
Tier
Mid-tier
Context
1.0M tokens
Released
Apr 2026
Other models from Gemini
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| Gemini 3.5 Flash | Fast / Budget | $1.50 | $9.00 | 1.0M |
| Gemini 3 Flash | Fast / Budget | $0.50 | $3.00 | 1.0M |
| Gemini 3.5 Flash-Lite | Fast / Budget | $0.30 | $2.50 | 1.0M |
| Gemini 2.5 Computer Use | Fast / Budget | $1.25 | $10.00 | 128K |
| Gemini 2.5 Flash | Fast / Budget | $0.30 | $2.50 | 1.0M |
| Gemini 2.5 Flash-Lite | Fast / Budget | $0.10 | $0.40 | 1.0M |
| Gemini 2.5 Pro | Mid-tier | $1.25 | $10.00 | 1.0M |
| Gemini 3.1 Flash-Lite | Fast / Budget | $0.25 | $1.50 | 1.0M |
| Gemini 3.1 Pro Custom Tools | Mid-tier | $2.00 | $12.00 | 1.0M |
| Gemini 3.6 Flash | Fast / Budget | $0.75 | $3.75 | 1.0M |
| Gemini 3.7 Flash | Fast / Budget | $0.75 | $3.75 | 1.0M |
| Gemini 3.8 Flash | Fast / Budget | $0.75 | $3.75 | 1.0M |
| Gemini Omni 1.1 Flash | Fast / Budget | $1.50 | $9.00 | 1.0M |
| Gemini Omni Flash | Fast / Budget | $1.50 | $9.00 | 1.0M |
| Gemini Robotics ER 2 | Fast / Budget | $1.00 | $5.00 | 131K |
You can compare Gemini 3.1 Pro 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 pricing for other use cases
See how Gemini 3.1 Pro 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
Math Reasoning
$0.0390/call
Financial Analysis
$0.0640/call
Content Moderation
$0.002200/call
Sentiment Analysis
$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 cost for legal analysis per API call?
A typical legal analysis call using Gemini 3.1 Pro costs about $0.0680 per call. This estimate uses 10,000 input tokens and 4,000 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 the best model for legal analysis?
Gemini 3.1 Pro scores 84 out of 100 on legal analysis benchmarks overall. It ranks #22 across all 88 models in our cross-provider registry. The highest-ranked model for this task is GPT 6 Astra from GPT. That model scores 93/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.
What is the cheapest model for legal analysis with good quality?
The most affordable model for legal 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 86/100. Switching from Gemini 3.1 Pro to GPT 5.6 Luna saves about 90% per API call.
How can I reduce my Gemini 3.1 Pro costs for legal analysis?
Three strategies lower Gemini 3.1 Pro 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 $0.0680 to about $0.003400 per call.
How does Gemini 3.1 Pro pricing compare to other Gemini models?
Gemini has 15 other models alongside Gemini 3.1 Pro today: 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 3.1 Pro Custom Tools at $2.00/$12.00 per million tokens (mid-tier), 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 legal analysis workload prioritizes quality, cost, or speed.
What context window does Gemini 3.1 Pro support?
Gemini 3.1 Pro supports a context window of 1.0M tokens per API call. This sets the maximum combined length of your input prompt and generated response. For legal analysis, typical calls use 10,000 input and 4,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.
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