Gemini 1.5 Flash 8B vs o1-mini
o1-mini leads the LLM Stats Score 10.5 to -0.2. Gemini 1.5 Flash 8B is 41.2x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
o1-mini leads the overall LLM Stats Score 10.5 to -0.2, ranking #245 overall.
In the 1 individual benchmarks reported for both models, o1-mini wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.5 Flash 8B is roughly 41.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Flash 8B 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 1.5 Flash 8B
- cost matters — it's about 41.2x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose o1-mini
- overall performance matters — it scores 10.5 and ranks #245 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 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
13 reported for Gemini 1.5 Flash 8B · 6 for o1-mini
Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while o1-mini is better at 1 benchmark (GPQA).
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 1.5 Flash 8B ($0.07/1M tokens) is 42.9x cheaper than o1-mini ($3.00/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 40.0x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than Gemini 1.5 Flash 8B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash 8B accepts 1,048,576 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 Flash 8B is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 1.5 Flash 8B supports multimodal inputs, whereas o1-mini does not.
Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Flash 8B
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 Flash 8B was released on 2024-03-15, while o1-mini was released on 2024-09-12.
o1-mini is 6 months newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.5 years ago
Sep 12, 2024
2.0 years ago
6mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while o1-mini's cutoff date is not specified.
We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without o1-mini's cutoff date.
Oct 2024
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Provider Availability
Gemini 1.5 Flash 8B is available from Google. o1-mini is available from OpenAI, Azure.
Gemini 1.5 Flash 8B
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash 8B vs o1-mini.