Gemini 3.8 Flash vs o1-mini
Gemini 3.8 Flash leads the LLM Stats Score 51.8 to 10.2. Gemini 3.8 Flash is 3.5x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.8 Flash leads the overall LLM Stats Score 51.8 to 10.2, ranking #11 overall.
On price, Gemini 3.8 Flash is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.8 Flash also accepts a larger context window (1,048,576 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 3.8 Flash
- overall performance matters — it scores 51.8 and ranks #11 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 3.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- 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
13 reported for Gemini 3.8 Flash · 6 for o1-mini
Gemini 3.8 Flash 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
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.8 Flash ($0.75/1M tokens) is 4.0x cheaper than o1-mini ($3.00/1M tokens).
For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 3.2x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than Gemini 3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.8 Flash accepts 1,048,576 input tokens compared to o1-mini's 128,000 tokens. Both models can generate responses up to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.8 Flash supports multimodal inputs, whereas o1-mini does not.
Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.8 Flash
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 3.8 Flash was released on 2026-09-02, while o1-mini was released on 2024-09-12.
Gemini 3.8 Flash 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
Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while o1-mini's cutoff date is not specified.
We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without o1-mini's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.8 Flash is available from Google. o1-mini is available from OpenAI, Azure.
Gemini 3.8 Flash
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.8 Flash and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.8 Flash vs o1-mini.