tokevenGemini · Mid-tier · 1,048.576K context window
Gemini 2.5 Pro pricing for meeting notes
$0.0300 per call at 8,000 input / 2,000 output tokens.
Per call
$0.0300
10K calls/mo
$300
Cache savings
90% off input
Batch savings
50% off all
Calculate your Gemini 2.5 Pro costs
Adjust token counts, volume, and discount toggles to model your meeting notes spend. Prices verified daily against provider pricing pages.
Configure your usage
Estimated cost
Quick start
Call Gemini 2.5 Pro with the Google Generative AI SDK:
import google.generativeai as genai
model = genai.GenerativeModel("gemini-2.5-pro")
response = model.generate_content("Your prompt here")
# Cost: ~$0.0300 per call at standard rates
# Input: $1.25/MTok
# Output: $10.00/MTokHow Gemini 2.5 Pro compares on cost
Per-call cost for all models scoring 50+ on meeting notes benchmarks. Hover for details.
Cheapest viable option: GPT 5.6 Luna at $0.004000/call (87% less, 84/100 quality).
What drives meeting notes cost
Transcripts are long and low-density (an hour of conversation is a lot of tokens carrying comparatively little information) while the notes that come back are short. That ratio makes this a strong fit for a fast-tier model plus the batch API: notes rarely need to exist within seconds of the meeting ending, and batch discounts apply to the whole request.
For Gemini 2.5 Pro specifically, that means output tokens cost 8.0x more than input, at $10.00 vs $1.25 per MTok. At this use case’s 8,000/2,000 token split, output accounts for 67% of the $0.0300 per-call cost.
Complete Gemini 2.5 Pro pricing breakdown
Standard token rates
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $1.25 | 8,000 |
| Output | $10.00 | 2,000 |
Prompt caching: 90% off input tokens
Caching drops input cost from $1.25 to $0.13/MTok. For repeated system prompts, that saves $0.009000 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 | $0.0300 | $300 | $210 | $90 |
| 50,000 calls | $0.0300 | $1,500 | $1,050 | $450 |
| 100,000 calls | $0.0300 | $3,000 | $2,100 | $900 |
| 500,000 calls | $0.0300 | $15,000 | $10,500 | $4,500 |
| 1,000,000 calls | $0.0300 | $30,000 | $21,000 | $9,000 |
Gemini 2.5 Pro quality benchmarks for meeting notes
Benchmark data for meeting notes is pending for Gemini 2.5 Pro. Test against your own evaluation suite before moving to production.
Performance across all task types
Gemini 2.5 Pro scores by task type. Meeting Notes 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 meeting notes
12 models score 80+ on meeting notes benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (87% less, 84/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Gemini |
|---|---|---|---|---|---|---|
| GPT 5.6 Luna | GPT | $0.20 | $1.20 | 84/100 | $0.004000 | 87% cheaper |
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 83/100 | $0.0100 | 67% cheaper |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 85/100 | $0.0300 | same cost |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 91/100 | $0.0360 | 20% more |
| GPT 5.6 Terra | GPT | $2.00 | $12.00 | 92/100 | $0.0400 | 33% more |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 87/100 | $0.0400 | 33% more |
| GPT 5.4 | GPT | $2.50 | $15.00 | 91/100 | $0.0500 | 67% more |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 90/100 | $0.0540 | 80% more |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 90/100 | $0.0720 | 140% more |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 88/100 | $0.0900 | 200% more |
| GPT 5.5 | GPT | $5.00 | $30.00 | 89/100 | $0.1000 | 233% more |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 90/100 | $0.1800 | 500% more |
About Gemini 2.5 Pro
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 3.1 Flash-Lite | Fast / Budget | $0.25 | $1.50 | 1,048.576K |
| Gemini 3.1 Pro Custom Tools | Mid-tier | $2.00 | $12.00 | 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 2.5 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 2.5 Pro pricing for other use cases
See how Gemini 2.5 Pro costs change across different workload types.
Code Generation
$0.0425/call
Unit Test Generation
$0.0538/call
SQL Generation
$0.0119/call
API Generation
$0.0638/call
Code Refactoring
$0.0450/call
Code Review
$0.0263/call
PR Review
$0.0400/call
Security Review
$0.0325/call
Bug Detection
$0.0263/call
Document Summarization
$0.0225/call
PDF Summarization
$0.0338/call
Email Summarization
$0.008750/call
Chatbot
$0.0125/call
RAG Pipeline
$0.0225/call
Customer Support Bot
$0.0138/call
FAQ Bot
$0.009875/call
Data Extraction
$0.0150/call
JSON Extraction
$0.0118/call
Invoice Parsing
$0.008500/call
Resume Parsing
$0.0111/call
Chain of Thought
$0.0538/call
Legal Analysis
$0.0525/call
Math Reasoning
$0.0319/call
Financial Analysis
$0.0500/call
Content Moderation
$0.001625/call
Sentiment Analysis
$0.001625/call
Categorization
$0.002500/call
Intent Detection
$0.001375/call
Copywriting
$0.0206/call
Blog Writing
$0.0813/call
Marketing Copy
$0.0310/call
Product Descriptions
$0.0156/call
Related pages
Frequently asked questions
How much does Gemini 2.5 Pro cost for meeting notes per API call?
A typical meeting notes call using Gemini 2.5 Pro costs about $0.0300 per call. This estimate uses 8,000 input tokens and 2,000 output tokens at standard rates. Standard rates are $1.25 per million input tokens and $10.00 per million output tokens.
Is Gemini 2.5 Pro the best model for meeting notes?
Our benchmark data does not yet include a meeting notes ranking for Gemini 2.5 Pro. We recommend testing it against your own evaluation criteria before production usage.
What is the cheapest model for meeting notes with good quality?
The most affordable model for meeting notes 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 84/100. Switching from Gemini 2.5 Pro to GPT 5.6 Luna saves about 87% per API call.
How can I reduce my Gemini 2.5 Pro costs for meeting notes?
Three strategies lower Gemini 2.5 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 $0.0300 to about $0.001500 per call.
How does Gemini 2.5 Pro pricing compare to other Gemini models?
Gemini has 15 other models alongside Gemini 2.5 Pro 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 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 meeting notes workload prioritizes quality, cost, or speed.
What context window does Gemini 2.5 Pro support?
Gemini 2.5 Pro 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 meeting notes, typical calls use 8,000 input and 2,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.
Track what you spend on AI
This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.