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Model detail

Gemini 3.1 Pro Preview Custom Tools

Provided by Google
Pay-as-you-go Dynamic pricing 2 tiers

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party or user-defined functions are available. This specialized preview endpoint significantly increases function calling reliability and ensures the model selects the most appropriate tool in coding agents and complex, multi-tool workflows. It retains the core strengths of Gemini 3.1 Pro, including multimodal reasoning across text, image, video, audio, and code, a 1M-token context window, and strong software engineering performance.

Model specs

Model ID
gemini-3.1-pro-preview-customtools
Context length
1.048576M
Max output
65.536K
I/O modalities
Released
2026-02

02

API endpoints

One MixRoute gateway, OpenAI-compatible

  • Gemini /v1beta/models/{model}:generateContent POST
  • OpenAI-compatible /v1/chat/completions POST

03

Tiered pricing

Unit: /1M Tokens

Tier Input /1M Tokens Output /1M Tokens Cache read /1M Tokens
standard Length ≤ 200K $2.0000 $12.0000 $0.2000
long_context Length > 200K $4.0000 $18.0000 $0.4000

05

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party or user-defined functions are available.

What should you check before using it?

1,048,576 context, 65,536 output tokens

Model type: text. Verify supported features and quotas with the provider documentation. Knowledge cutoff: 2025-01. Released 2026-02-19.

Why use it through MixRoute?

Gemini 3.1 Pro Preview Custom Tools cache reads cut repeated-prompt cost

Cached prefixes are billed at $0.2000 per 1M tokens for inputs up to 200,000 tokens (standard input $2.0000); above that, $0.4000 and $4.0000 respectively, so repeated system prompts cost less. MixRoute serves Gemini 3.1 Pro Preview Custom Tools on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gemini-3.1-pro-preview-customtools and re-run your integration tests.

07

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Available:

Tool calling

Gemini 3.1 Pro Preview Custom Tools supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.
Available:

Structured output

Gemini 3.1 Pro Preview Custom Tools can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.
Available:

Streaming

Gemini 3.1 Pro Preview Custom Tools supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.
Available:

Prompt caching

Gemini 3.1 Pro Preview Custom Tools supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.
Available:

Vision input

Gemini 3.1 Pro Preview Custom Tools can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.
Available:

OpenAI SDK

Call Gemini 3.1 Pro Preview Custom Tools through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

08

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Share of the same prefix read repeatedly, up to 100%

09

FAQ

A cache hit on Gemini 3.1 Pro Preview Custom Tools requires an identical prompt prefix across requests. Put your stable instructions and reference material at the start of the prompt, keep them byte-identical, and let the changing part follow. Cached reads are then billed at the cache rate rather than the input rate.

One endpoint, a testable decision

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.