Gemini 1.5 Flash 8B vs GPT-4
Gemini 1.5 Flash 8B and GPT-4 are closely matched at -0.6 and 3.2 on the LLM Stats Score. Gemini 1.5 Flash 8B is 294.1x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 1.5 Flash 8B and GPT-4 are closely matched on the overall LLM Stats Score at -0.6 and 3.2.
In the 2 individual benchmarks reported for both models, Gemini 1.5 Flash 8B wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.5 Flash 8B is roughly 294.1x 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
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 294.1x 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 Mar 2024
Choose GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
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 · 12 for GPT-4
Gemini 1.5 Flash 8B outperforms in 2 benchmarks (GPQA, MATH), while GPT-4 is better at 0 benchmarks.
Gemini 1.5 Flash 8B 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 428.6x cheaper than GPT-4 ($30.00/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 200.0x cheaper than GPT-4 ($60.00/1M tokens).
In conclusion, GPT-4 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-4's 32,768 tokens. GPT-4 can generate longer responses up to 32,768 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-4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 1.5 Flash 8B
GPT-4
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-4 was released on 2023-06-13.
Gemini 1.5 Flash 8B is 9 months newer than GPT-4.
Mar 15, 2024
2.5 years ago
9mo newerJun 13, 2023
3.2 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while GPT-4 has a cutoff of 2022-12-31.
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 GPT-4 (2022-12-31).
Oct 2024
1.8 yr newerDec 2022
Provider Availability
Gemini 1.5 Flash 8B is available from Google. GPT-4 is available from Azure, OpenAI.
Gemini 1.5 Flash 8B
GPT-4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and GPT-4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash 8B vs GPT-4.