Gemini 1.0 Pro vs o1-mini
o1-mini leads the LLM Stats Score 10.1 to -5.3. Gemini 1.0 Pro is 7.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
o1-mini leads the overall LLM Stats Score 10.1 to -5.3, ranking #255 overall.
In the 2 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 1.0 Pro is roughly 7.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o1-mini also accepts a larger context window (128,000 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 1.0 Pro
- cost matters — it's about 7.0x cheaper per token
Choose o1-mini
- overall performance matters — it scores 10.1 and ranks #255 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 128,000 token context window
- 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
9 reported for Gemini 1.0 Pro · 6 for o1-mini
Gemini 1.0 Pro outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (GPQA, MMLU).
o1-mini significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 6.0x cheaper than o1-mini ($3.00/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 8.0x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than Gemini 1.0 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o1-mini accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. o1-mini can generate longer responses up to 65,536 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
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 1.0 Pro was released on 2024-02-15, while o1-mini was released on 2024-09-12.
o1-mini is 7 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.6 years ago
Sep 12, 2024
2.0 years ago
7mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while o1-mini's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without o1-mini's cutoff date.
Feb 2024
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Provider Availability
Gemini 1.0 Pro is available from Google. o1-mini is available from OpenAI, Azure.
Gemini 1.0 Pro
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs o1-mini.