Gemini 1.5 Flash 8B vs GPT-4o
GPT-4o leads the LLM Stats Score 14.6 to -0.2. Gemini 1.5 Flash 8B is 34.3x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-4o leads the overall LLM Stats Score 14.6 to -0.2, ranking #215 overall.
In the 4 individual benchmarks reported for both models, GPT-4o wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.5 Flash 8B is roughly 34.3x 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 34.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose GPT-4o
- overall performance matters — it scores 14.6 and ranks #215 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Aug 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 · 38 for GPT-4o
Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while GPT-4o is better at 4 benchmarks (GPQA, MathVista, MMLU-Pro, MMMU).
GPT-4o 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 35.7x cheaper than GPT-4o ($2.50/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 33.3x cheaper than GPT-4o ($10.00/1M tokens).
In conclusion, GPT-4o 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 GPT-4o's 128,000 tokens. GPT-4o can generate longer responses up to 16,384 tokens, while Gemini 1.5 Flash 8B is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 1.5 Flash 8B and GPT-4o support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 1.5 Flash 8B
GPT-4o
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 GPT-4o was released on 2024-08-06.
GPT-4o is 5 months newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.5 years ago
Aug 6, 2024
2.1 years ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while GPT-4o'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 GPT-4o's cutoff date.
Oct 2024
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Provider Availability
Gemini 1.5 Flash 8B is available from Google. GPT-4o is available from Azure, OpenAI.
Gemini 1.5 Flash 8B
GPT-4o
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and GPT-4o side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash 8B vs GPT-4o.