Gemini 3.8 Flash Cyber vs o1-mini
Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.7 to 10.2.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.7 to 10.2, ranking #44 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3.8 Flash Cyber
- overall performance matters — it scores 42.7 and ranks #44 on LLM Stats
- your work emphasizes coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose o1-mini
- you want predictable pricing at $3.00/M input and $12.00/M output
At a glance
The differences that matter most.
Individual benchmarks
4 reported for Gemini 3.8 Flash Cyber · 6 for o1-mini
Gemini 3.8 Flash Cyber and o1-minidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 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 3.8 Flash Cyber was released on 2026-09-02, while o1-mini was released on 2024-09-12.
Gemini 3.8 Flash Cyber is 24 months newer than o1-mini.
Sep 2, 2026
0 days ago
2.0yr newerSep 12, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.8 Flash Cyber and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.8 Flash Cyber vs o1-mini.