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Gemini 3.1 Pro Preview Custom Tools vs o3

Gemini 3.1 Pro Preview Custom Tools (2026) and o3 (2025) are frontier reasoning models from Google DeepMind and OpenAI. Gemini 3.1 Pro Preview Custom Tools ships a 1M-token context window, while o3 ships a 200K-token context window. On pricing, Gemini 3.1 Pro Preview Custom Tools costs $2/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Gemini 3.1 Pro Preview Custom Tools fits 5x more tokens; pick it for long-context work and o3 for tighter calls.

Specs

Specification
Released2026-01-012025-03-31
Context window1M200K
Parameters
Architecturedecoder onlydecoder only
LicenseUnknownProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeGemini 3.1 Pro Preview Custom Toolso3
Input price$2/1M tokens$2/1M tokens
Output price$12/1M tokens$8/1M tokens
Providers

Capabilities

CapabilityGemini 3.1 Pro Preview Custom Toolso3
VisionNoNo
MultimodalNoNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionNoYes

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: o3 and code execution: o3. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Gemini 3.1 Pro Preview Custom Tools lists $2/1M input and $12/1M output tokens, while o3 lists $2/1M input and $8/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts o3 lower by about $1.2 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.

Choose Gemini 3.1 Pro Preview Custom Tools when long-context analysis and larger context windows are central to the workload. Choose o3 when coding workflow support and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Gemini 3.1 Pro Preview Custom Tools or o3?

Gemini 3.1 Pro Preview Custom Tools supports 1M tokens, while o3 supports 200K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Gemini 3.1 Pro Preview Custom Tools or o3?

Gemini 3.1 Pro Preview Custom Tools is cheaper on tracked token pricing. Gemini 3.1 Pro Preview Custom Tools costs $2/1M input and $12/1M output tokens. o3 costs $2/1M input and $8/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemini 3.1 Pro Preview Custom Tools or o3 open source?

Gemini 3.1 Pro Preview Custom Tools is listed under Unknown. o3 is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for reasoning mode, Gemini 3.1 Pro Preview Custom Tools or o3?

o3 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for structured outputs, Gemini 3.1 Pro Preview Custom Tools or o3?

Both Gemini 3.1 Pro Preview Custom Tools and o3 expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Gemini 3.1 Pro Preview Custom Tools and o3?

Gemini 3.1 Pro Preview Custom Tools is available on OpenRouter. o3 is available on OpenAI API and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.