Gemini 1.5 Pro vs o1-mini
Gemini 1.5 Pro and o1-mini are closely matched at 12.1 and 10.1 on the LLM Stats Score. Gemini 1.5 Pro is 1.2x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 1.5 Pro and o1-mini are closely matched on the overall LLM Stats Score at 12.1 and 10.1.
In the 3 individual benchmarks reported for both models, o1-mini wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.5 Pro is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 1.5 Pro
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 2,097,152 token context window
Choose o1-mini
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for Gemini 1.5 Pro · 6 for o1-mini
Gemini 1.5 Pro outperforms in 1 benchmarks (MMLU), while o1-mini is better at 2 benchmarks (GPQA, HumanEval).
o1-mini shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 1.2x cheaper than o1-mini ($3.00/1M tokens).
For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 1.2x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than Gemini 1.5 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Pro accepts 2,097,152 input tokens compared to o1-mini's 128,000 tokens. o1-mini can generate longer responses up to 65,536 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 1.5 Pro supports multimodal inputs, whereas o1-mini does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Pro
o1-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 1.5 Pro was released on 2024-05-01, while o1-mini was released on 2024-09-12.
o1-mini is 4 months newer than Gemini 1.5 Pro.
May 1, 2024
2.4 years ago
Sep 12, 2024
2.0 years ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while o1-mini's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without o1-mini's cutoff date.
Nov 2023
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Provider Availability
Gemini 1.5 Pro is available from Google. o1-mini is available from OpenAI, Azure.
Gemini 1.5 Pro
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Pro and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Pro vs o1-mini.