Gemini 1.5 Flash 8B vs o3-mini
o3-mini leads the LLM Stats Score 21.8 to -0.2. Gemini 1.5 Flash 8B is 15.1x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
o3-mini leads the overall LLM Stats Score 21.8 to -0.2, ranking #169 overall.
In the 2 individual benchmarks reported for both models, o3-mini wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.5 Flash 8B is roughly 15.1x 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 15.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose o3-mini
- overall performance matters — it scores 21.8 and ranks #169 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 want the most recent training data — it shipped Jan 2025
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 · 25 for o3-mini
Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while o3-mini is better at 2 benchmarks (GPQA, MATH).
o3-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 15.7x cheaper than o3-mini ($1.10/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 14.7x cheaper than o3-mini ($4.40/1M tokens).
In conclusion, o3-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 o3-mini's 200,000 tokens. o3-mini can generate longer responses up to 100,000 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 o3-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
o3-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 o3-mini was released on 2025-01-30.
o3-mini is 11 months newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.5 years ago
Jan 30, 2025
1.6 years ago
10mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while o3-mini has a cutoff of 2023-09-30.
Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to o3-mini (2023-09-30).
Oct 2024
1.1 yr newerSep 2023
Provider Availability
Gemini 1.5 Flash 8B is available from Google. o3-mini is available from Azure, OpenAI.
Gemini 1.5 Flash 8B
o3-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and o3-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash 8B vs o3-mini.