Model Comparison

Gemini 3.1 Pro vs o3-miniWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. o3-mini is 2.9x cheaper per token.

Verdict: Gemini 3.1 Pro vs o3-mini — which is better?

Gemini 3.1 Pro (by Google) and o3-mini (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while o3-mini is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, o3-mini is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose o3-mini if…

  • cost matters — it's about 2.9x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while o3-mini is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o3-mini costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 2.3x more expensive than o3-mini ($1.10/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 3.4x more expensive than o3-mini ($4.40/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than o3-mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to o3-mini's 200,000 tokens. o3-mini can generate longer responses up to 100,000 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas o3-mini does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

o3-mini

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.1 Pro

Proprietary

Closed source

o3-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while o3-mini was released on 2025-01-30.

Gemini 3.1 Pro is 13 months newer than o3-mini.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.1yr newer
o3-mini

Jan 30, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while o3-mini has a cutoff of 2023-09-30.

Gemini 3.1 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to o3-mini (2023-09-30).

Gemini 3.1 Pro

Jan 2025

1.3 yr newer
o3-mini

Sep 2023

Provider Availability

Gemini 3.1 Pro is available from Google. o3-mini is available from Azure, OpenAI.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 77.2%)
Higher SWE-Bench Verified score (80.6% vs 49.3%)
OpenAI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
OpenAI
o3-mini

FAQ

Common questions about Gemini 3.1 Pro vs o3-mini.

Which is better, Gemini 3.1 Pro or o3-mini?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and o3-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to o3-mini in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.

Is Gemini 3.1 Pro cheaper than o3-mini?

o3-mini is 2.3x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. o3-mini costs $1.10/M input and $4.40/M output via azure.

What are the context window sizes for Gemini 3.1 Pro and o3-mini?

Gemini 3.1 Pro supports 1.0M tokens and o3-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and o3-mini?

Key differences include context window (1.0M vs 200K), input pricing ($2.50 vs $1.10/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and o3-mini?

Gemini 3.1 Pro is developed by Google and o3-mini is developed by OpenAI.

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