Gemini 3.1 Pro pricing and benchmarksPreview
Google’s Gemini 3.1 Pro model, currently offered as a preview.
Input
$2.00
per 1M tokens
Cached input
$0.20
per 1M tokens
Output
$12.00
per 1M tokens
Capability index
155.0
#11 of 16 tracked
How capable is Gemini 3.1 Pro?
Gemini 3.1 Pro scores 155.0 on the Epoch Capabilities Index (confidence interval 152.7–157.6), ranking #11 of the 16 rated models we track.
| Benchmark | Tests | Score |
|---|---|---|
| GPQA Diamond | Science reasoning | 92.6% |
| FrontierMath (Tiers 1–3) | Advanced math | 59.6% |
| SimpleQA Verified | Factual accuracy | 73.5% |
| ARC-AGI-2 | Abstract reasoning | 77.1% |
| DeepSWE | Coding | 11.7% |
| APEX-Agents | Agentic work | 33.5% |
Source: Epoch AI (as “Gemini 3.1 Pro”), best recorded result, CC BY 4.0. A dash means no published score. Compare all models
What Gemini 3.1 Pro costs in practice
| Workload | Monthly cost |
|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $780.00 |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $1,160 |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $536.00 |
Pricing details
- Prompts over 200K tokens are billed at $4 input / $18 output per 1M tokens.
- No free tier on the Gemini API.
- Output price includes thinking tokens.
Estimate your Gemini 3.1 Pro bill
- Gemini 3.1 ProGoogle$1,160/mo$0.02 / request
Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.