Gemini 3.6 Flash vs o4-mini
Gemini 3.6 Flash leads the LLM Stats Score 43.4 to 27.5. o4-mini is 1.6x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.6 Flash leads the overall LLM Stats Score 43.4 to 27.5, ranking #38 overall.
In the 1 individual benchmarks reported for both models, Gemini 3.6 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, o4-mini is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.6 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 3.6 Flash
- overall performance matters — it scores 43.4 and ranks #38 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose o4-mini
- cost matters — it's about 1.6x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for Gemini 3.6 Flash · 14 for o4-mini
Gemini 3.6 Flash outperforms in 1 benchmarks (CharXiv-R), while o4-mini is better at 0 benchmarks.
Gemini 3.6 Flash 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 3.6 Flash ($1.50/1M tokens) is 1.4x more expensive than o4-mini ($1.10/1M tokens).
For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 1.7x more expensive than o4-mini ($4.40/1M tokens).
In conclusion, Gemini 3.6 Flash is more expensive than o4-mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.6 Flash accepts 1,048,576 input tokens compared to o4-mini's 200,000 tokens. o4-mini can generate longer responses up to 100,000 tokens, while Gemini 3.6 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.6 Flash and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.6 Flash
o4-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 3.6 Flash was released on 2026-07-21, while o4-mini was released on 2025-04-16.
Gemini 3.6 Flash is 15 months newer than o4-mini.
Jul 21, 2026
1 months ago
1.3yr newerApr 16, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Gemini 3.6 Flash has a knowledge cutoff of 2026-03-31, while o4-mini has a cutoff of 2024-05-31.
Gemini 3.6 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to o4-mini (2024-05-31).
Mar 2026
1.8 yr newerMay 2024
Provider Availability
Gemini 3.6 Flash is available from Google. o4-mini is available from OpenAI.
Gemini 3.6 Flash
o4-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.6 Flash and o4-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.6 Flash vs o4-mini.