AI Model Intelligence

Gemini-3.1-Pro

google/gemini-3-1-pro

By Google · family: gemini-pro · released 2026-02-19 · knowledge: 2025-01

$2.00
Input / 1M tokens
$12.00
Output / 1M tokens
1.05M
Context window
66K
Max output

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capabilities

✓ Tool calling✓ Reasoning? Structured output✓ Attachments✗ Open weights✗ Temperature control
Modalities: input text, image, video, audio · output text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding76
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability6/10
Agents71
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability6/10
JSON / structured output20
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency39
  • Headline price (log-scaled)34/95
  • Has prompt-cache pricing5/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Vision96
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability6/10
Production-readiness86
  • Number of independent providers30/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$16.00
$0.02 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$32.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$10.00
$0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$28.00
$0.03 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$31.20
$0.03 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Pricing detail

Recommended pricing from poe · google/gemini-3.1-pro

$2.00
Input
$12.00
Output
$0.200
Cache read

Cheapest provider: kenari · Unknown input + Unknown output

Available on 6 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
Poe
poe
google/gemini-3.1-pro$2.00$12.001.05M2026-02-19
Snowflake Cortex
snowflake-cortex
gemini-3.1-proUnknownUnknown1.05M2026-02-19
Neon
neon
gemini-3-1-pro$2.00$12.001.05M2026-02-19
Pioneer
pioneer
gemini-3.1-pro$2.00$12.001M2026-02-19
OpenCode Zen
opencode
gemini-3.1-pro$2.00$12.001.05M2026-02-19
Kenari
kenari
gemini-3-1-proUnknownUnknown1.05M2026-02-19

Data inconsistencies across providers

  • context_window varies: 1000000, 1048576
  • modalities varies across offerings

Different providers report different values for this model. Quick facts above use the representative provider; consult the table for per-provider truth.

Frequently asked questions

How much does Gemini-3.1-Pro cost?

Gemini-3.1-Pro costs $2.00 per 1M input tokens and $12.00 per 1M output tokens, sourced from poe. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Gemini-3.1-Pro?

Gemini-3.1-Pro has a context window of 1.05M tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Gemini-3.1-Pro support tool calling?

Yes. Gemini-3.1-Pro supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Gemini-3.1-Pro support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Gemini-3.1-Pro in our data source. Verify with Google's official documentation before relying on it in production.

Can Gemini-3.1-Pro accept image input?

Yes. Gemini-3.1-Pro accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Google's docs for the exact rule.

Is Gemini-3.1-Pro open-weight?

No. Gemini-3.1-Pro is a proprietary model — only Google (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Gemini-3.1-Pro?

If Gemini-3.1-Pro doesn't fit, consider Gemma 4 31B IT, Gemini 3.5 Flash, Gemini 2.5 Flash. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

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Capability lists this model is in

See also

Last updated:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.