AI Model Intelligence

Gemini 3.1 Pro Preview

opencode/gemini-3-1-pro

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

⚠ This is a community fine-tune or derivative — not an official vendor release.

$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, pdf · 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.

Coding91
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents91
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output80
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • 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
Vision91
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability1/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

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 opencode · gemini-3.1-pro

$2.00
Input
$12.00
Output
$0.200
Cache read
Beyond 200K context
input $4 · output $18 · cache_read $0.4

Available on 1 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
OpenCode Zen
opencode
gemini-3.1-pro$2.00$12.001.05M2026-02-19

Frequently asked questions

How much does Gemini 3.1 Pro Preview cost?

Gemini 3.1 Pro Preview costs $2.00 per 1M input tokens and $12.00 per 1M output tokens, sourced from opencode. 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 Preview?

Gemini 3.1 Pro Preview 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 Preview support tool calling?

Yes. Gemini 3.1 Pro Preview 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 Preview support structured output / JSON mode?

Yes. Gemini 3.1 Pro Preview supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Gemini 3.1 Pro Preview accept image input?

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

Is Gemini 3.1 Pro Preview open-weight?

No. Gemini 3.1 Pro Preview is a proprietary model — only opencode (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 Preview?

If Gemini 3.1 Pro Preview doesn't fit, consider Ring 2.6 1T Free, Big Pickle, Trinity Large Preview. 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 come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More opencode models

Capability lists this model is in

See also

Last updated:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.