Model Comparison
Gemini 3.1 Pro vs o4-miniWhich is better in 2026?
Gemini 3.1 Pro significantly outperforms across most benchmarks. o4-mini is 2.9x cheaper per token.
Verdict: Gemini 3.1 Pro vs o4-mini — which is better?
Gemini 3.1 Pro (by Google) and o4-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 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while o4-mini is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.
On price, o4-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 4 of 4 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 o4-mini if…
- cost matters — it's about 2.9x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while o4-mini is better at 0 benchmarks.
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 2.3x more expensive than o4-mini ($1.10/1M tokens).
For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 3.4x more expensive than o4-mini ($4.40/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than o4-mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Pro accepts 1,048,576 input tokens compared to o4-mini's 200,000 tokens. o4-mini can generate longer responses up to 100,000 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.1 Pro and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
o4-mini
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while o4-mini was released on 2025-04-16.
Gemini 3.1 Pro is 10 months newer than o4-mini.
Feb 19, 2026
3 months ago
10mo newerApr 16, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while o4-mini has a cutoff of 2024-05-31.
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 o4-mini (2024-05-31).
Jan 2025
8 mo newerMay 2024
Provider Availability
Gemini 3.1 Pro is available from Google. o4-mini is available from OpenAI.
Gemini 3.1 Pro
o4-mini
Outputs Comparison
Key Takeaways
o4-mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs o4-mini.